At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. With approximately $14 billion in revenue and a talent force of more than 55,000, Jacobs provides a full spectrum of professional services including consulting, technical, scientific and project delivery for the government and private sector.

Jacobs

TPG Growth was founded in 2007 to specialize in growth equity and middle-market buyout opportunities. Taking a long-term and hands-on approach to partnership, we identify unique companies across the U.S., Europe, Africa, and Asia and help them achieve their full potential. We can assist at all stages of a company’s growth, from its inception to its international expansion, by drawing on our geography-specific experience and expert global operational resources from the TPG platforms. TPG Growth manages more than $7 billion in assets across a variety of sectors including media, technology, and industrials.

TPG Growth

Sutter Hill Ventures has financed technology-based start-ups and assisted entrepreneurs in building companies since 1962. Through their decades of experience, they have developed strong industry networks, considerable operating and venture capital experience, and an understanding of the challenges that early-stage and high-growth companies face. They offer expertise in developing business strategies and partnerships, building management teams, and financing companies in both public and private markets. They have experienced operating executives who love building companies. Their approach is straightforward. They have a collegial and uncomplicated operating style that is direct and results-driven. They work as a team to respond quickly to new investment proposals and to their portfolio companies needs. Once they invest in a company, they bring to bear their time, expertise, and extensive industry networks to help these companies succeed. Building companies is their top priority and their favorite occupation. They have structured Sutter Hill to allow them to invest in a focused portfolio of early-stage companies and build value for the long term. They are always available to their CEOs and founders as advisors and mentors ready with practical and strategic advice from their own venture capital and operating experiences. They don't insist on winning every argument, but they will always tell you what they think. They also have a network of executives, advisors, and support infrastructure to help their portfolio get going in the right direction quickly. As former line managers themselves, they know the vision, energy, and commitment that building a successful company requires. They strive to build partnerships with entrepreneurs that combine dedicated support from Sutter Hill with trust that the teams they back can make good decisions and execute on the details. Their limited partners have committed long-term support to their evergreen fund which allows them to make long-term commitments to their companies. In addition, a significant portion of every dollar they invest in their own money, and each one of them participates in every investment. This direct investment reinforces each partner's commitment to every company in their portfolio and ensures that they bring every available resource to bear in helping their companies succeed.

Sutter Hill Ventures

InterWest invests an average of about $7 - 15 million over the span of their involvement with each company in their portfolio. They invest in companies through the full range of venture investment stages, and investments may be staged over several rounds of financing. Although they generally begin their involvement in the early stages of a company's development, they pursue attractive opportunities based on their individual merits rather than their investment stage.

InterWest Partners

Breyer Capital is a premier global venture capital and private equity investor focused on catalyzing high-impact entrepreneurs in the United States and China. Founded by Jim Breyer in 2006, Breyer Capital makes long-term, idea-driven strategic investments in its chosen core areas: social media, entertainment/media, digital health, and financial technologies.  Breyer Capital actively partners with a diverse set of companies including early-stage startups building breakthrough technologies, fast growing companies, and established worldwide leading corporations. Its team enjoys helping to frame strategic investments anchored by the passion of founders and owner/operator teams, the insights of its network of world-class investors, and a conviction that artificial intelligence, machine learning, and virtual reality will transform technology and investment opportunities globally.

Breyer Capital

Founded in 2015, Wildcat Venture Partners is a Silicon Valley-based venture capital firm that invests in early stage technology companies. Wildcat invests in B2B and B2B2C startups leveraging key technologies such as Machine Learning/AI, IoT, and Cloud & Mobility in the following markets: Digital Health, EdTech, Enterprise SaaS and FinTech. The Wildcat team brings decades of entrepreneurial experience, venture experience, and deep domain expertise to help early stage companies effectively navigate through the Traction Gap® and go on to scale. Wildcat’s current investment portfolio includes companies such as: Aceable, Amplero, C3.ai, Carrum Health, Clover Health, GreenFig, LeaseLock, Obo, Ritual, Tuition.io, Vlocity, what3words, and Zebit.

Wildcat Venture Partners

Pat House

The Rise Fund is committed to achieving social and environmental impact alongside financial returns. We seek to partner with creative entrepreneurs and build successful businesses that drive meaningful, measurable positive change. The Rise Fund will focus on investments in seven sectors in which independent research has shown that impact is both achievable and measurable in quantitative terms: education, energy, food and agriculture, financial services, healthcare, information, and communication technology, and industrials and infrastructure.

The Rise Fund

C3 AI

C3 AI (NYSE:AI) is a provider of Enterprise AI software for accelerating digital transformation. C3 AI delivers a family of fully integrated products: C3 AI® Suite, an end-to-end platform for developing, deploying, and operating large-scale AI applications; C3 AI Applications, a portfolio of industry-specific SaaS AI applications; C3 AI CRM, a suite of industry-specific CRM applications designed for AI and machine learning; and C3 AI Ex Machina, a no-code AI solution to apply data science to everyday business problems. The core of the C3 AI offering is an open, model-driven AI architecture that dramatically simplifies data science and application development. Learn more at: www.c3.ai

<div>C3 AI is an open-source platform that develops, deploys, and operates large-scale AI applications. The company&rsquo;s portfolio includes a suite of 40 ready-to-use enterprise AI applications for several use cases. In addition, the company offers a no-code solution to build AI models along with deep-code tools and a low-code environment to develop, deploy, and operate enterprise AI applications. The platform provides data ingestion, data modeling, ML feature engineering, model lifecycle management, and UI development tooling.</div>

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

<div>C3 AI is an enterprise AI software application company that provides a comprehensive suite of products for developing, deploying, and operating artificial intelligence applications. Founded by Silicon Valley entrepreneur Tom Siebel, the company offers the C3 AI Platform, an end-to-end solution for enterprise AI applications, along with a portfolio of industry-specific SaaS enterprise AI applications. C3 AI's offerings enable digital transformation across various sectors, with a focus on solving complex problems at scale. The company's product lineup includes C3 Generative AI, a suite of large AI transformer models designed for enterprise use. C3 AI's technology is utilized in diverse applications, such as predictive maintenance, data analytics, and decision support systems. In the defense sector, C3 AI has developed solutions like the Predictive Analytics and Decision Assistant (PANDA) for the US Air Force, which optimizes fleet maintenance and increases aircraft availability. The company's AI-driven analytics and data fusion capabilities have been applied to various military aircraft platforms, including the F-35A, to enhance warfighter capabilities and operational efficiency.</div>

Critical AI Solutions for the United States Air Force Crowd

U.S. Air Force Designates C3 AI Predictive Maintenance Solution as System of Record

Company

C3 AI and the Rapid Sustainment Office Achieve Authority to Operate (ATO) from United States Air Force

Empowering the modern soldier with cutting-edge technology

Military Tech

C3 AI offers a suite of AI products enabling enterprises to deploy AI applications. The company's AI software product lineup includes the C3 AI Platform, C3 Generative AI Suite, and C3 AI Applications.

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

C3 AI is an enterprise AI application software company providing a comprehensive suite of AI solutions. The company offers the C3 AI Application Platform, which enables organizations to develop, deploy, and operate enterprise AI applications at scale. The platform utilizes a model-driven architecture that simplifies the development process by allowing developers to use conceptual models instead of complex programming code. C3 AI's product portfolio includes over 40 turnkey Enterprise AI applications targeting specific industry needs in manufacturing, financial services, government, utilities, oil and gas, chemicals, agribusiness, defense, and intelligence sectors. These applications address various use cases including inventory optimization, supply network risk, customer churn management, production schedule optimization, predictive maintenance, fraud detection, and energy management. The company's software solutions can be deployed across public cloud infrastructures, private cloud, hybrid environments, or directly on servers. In FY23, C3 AI generated revenue of USD 266.8 million, with subscription revenue accounting for 82% of total revenue in FY22. In December 2021, the company secured a USD 500-million five-year production contract with the US Missile Defense Agency for modeling and simulation services.

Leading Enterprise AI Software Provider​

What does C3 AI do | Business Model Explained

C3 AI Secures Enterprise Solution Contracts for US Missile Defense Agency

Data Infrastructure & Analytics

C3 AI, Capgemini expand partnership to boost enterprise AI solutions

Azure

To accelerate Enterprise AI adoption on Azure, integrating C3 AI’s software with Microsoft's ecosystem to provide AI-driven solutions for business transformation and sustainability at Microsoft Ignite.

Integrated solutions that handle various processes such as model training, fine-tuning, model deployment, monitoring, and maintenance in working with and deploying LLMs

To enhance Enterprise AI adoption on Microsoft Azure, integrating C3 AI’s software with Azure to address supply chain, maintenance, and sustainability challenges, driving innovation.

The use of AI technologies, data analytics, networks of sensors, wearables, and IoT devices in military applications to enhance military capabilities.

Tools for enterprises to visualize data in a graphical form and obtain insights on the same using AI and natural language processing.

Integrated solutions that handle the end-to-end processes of developing, training, deploying, and monitoring ML models.

Microsoft

To enhance the adoption of enterprise AI solutions on the Microsoft Azure cloud platform through technical integration, joint product development, and collaborative sales and marketing efforts.

Google Cloud

To develop a generative AI application that helps government agencies provide accurate information to the public about various programs, streamlining access and comprehension for citizens.

Amazon Web Services

To expand  AWS GenAI Competency program, adding over 60 partners, including C3, Cognizant, and IBM.

C3 AI has expanded its collaboration with Amazon Web Services (AWS) to provide advanced generative AI solutions for enterprises, addressing critical business challenges across various industries.

Shell

C3.ai AI joined forces with Shell by incorporating its advanced predictive maintenance software.

To deliver AI solutions, reduce data silos, and accelerate digital transformation for its customers.

Solutions that enable businesses to carry out data processing and create ML models on the underlying data for predictive analysis.

Under the terms of the new partnership, the two companies will scale their joint go-to-market strategy and expand their joint customer pilot programs with Fortune 2000 companies. C3 AI and Google Cloud will also co-develop new AI-driven applications, using Google Cloud’s Vertex AI, ML capabilities, and data analytics services.

To co-sell C3 AI’s enterprise AI applications built on Google Cloud for organizations across the financial services, healthcare, manufacturing, supply chain and logistics, and telecommunications industries. Also to provide Google Kubernetes Engine, Google BigQuery, and Vertex AI to help customers build and deploy ML models.

Platforms that deploy and host the trained and tested models in production and integrate them into applications through APIs.

Engie

Through ENGIE Smart Institutions, C3.ai and ENGIE can use AI to help large institutions achieve their sustainability and financial objectives through Energy optimization, Capital planning, Campus engagement.

Technologies that automate and optimize building operations using data-driven insights.

Smart Building Technology

Solutions that automatically adjust energy consumption using optimization algorithms, taking into account factors such as energy demand, weather, occupant comfort, and utility prices. These systems aim to reduce energy consumption, cost, and emissions without compromising occupant experience.

Intel

To accelerate the digital transformation of organizations by combining C3.ai's AI and IoT platform with Intel's AI technology, enabling rapid development and deployment of enterprise AI and IoT applications.

Generating, collecting, and analyzing enterprise data will never be the same.

Edge Computing

Companies that provide software to enable users to run their applications at the edge.

to create a solution, comprising the C3 IoT Platform, a low-code, PaaS for scaling AI and IoT across enterprises, fully integrated to operate on Microsoft Azure.

Powering digital transformation for businesses

Low-code Platforms

Platforms that allow enterprises to develop all types of multi-purpose applications for internal and/or external use

C3 AI is an enterprise AI application software company providing a comprehensive suite of AI solutions. The company offers the C3 AI Application Platform, which enables organizations to develop, deploy, and operate enterprise AI applications at scale. The platform utilizes a model-driven architecture that simplifies the development process by allowing developers to use conceptual models instead of complex programming code. C3 AI's product portfolio includes over 40 turnkey Enterprise AI applications targeting specific industry needs in manufacturing, financial services, government, utilities, oil and gas, chemicals, agribusiness, defense, and intelligence sectors. These applications address various use cases including inventory optimization, supply network risk, customer churn management, production schedule optimization, predictive maintenance, fraud detection, and energy management. The company's software solutions can be deployed across public cloud infrastructures, private cloud, hybrid environments, or directly on servers. In FY23, C3 AI generated revenue of USD 266.8 million, with subscription revenue accounting for 82% of total revenue in FY22. In December 2021, the company secured a USD 500-million five-year production contract with the US Missile Defense Agency for modeling and simulation services.

<div>
 
 C3 AI is an open-source platform that develops, deploys, and operates large-scale AI applications. The company&rsquo;s portfolio includes a suite of 40 ready-to-use enterprise AI applications for several use cases. In addition, the company offers a no-code solution to build AI models along with deep-code tools and a low-code environment to develop, deploy, and operate enterprise AI applications. The platform provides data ingestion, data modeling, ML feature engineering, model lifecycle management, and UI development tooling.
 
 
 In addition, the company offers a 
 <a href="https://www.businesswire.com/news/home/20230906643339/en/C3-AI-Releases-New-C3-Generative-AI-Suite">
 Generative AI Suite
 </a>
 that includes 28 domain-specific generative AI offerings. This includes offerings targeting the defense, aerospace, healthcare, oil and gas, and manufacturing industries, as well as those targeting business processes and enterprise systems.
 
 
 The company provided its platform under a consumption-based pricing model.
 
 
 C3 AI operates in the US, UK, Germany, France, Australia, Netherlands, Mexico, India, Singapore, and Italy.&nbsp;
 
 
 Key customers and partnerships
 
 
 C3 AI serves Fortune 500 companies and customers in the manufacturing, oil and gas, utilities, financial services, defense and intelligence, government, healthcare, retail, telecommunications, and transportation industries. Notable customers include Shell, Bank of America, US Air Force, Koch Industries, and ENGIE.
 
 
 The company&rsquo;s partner base includes Google Cloud, Microsoft, Amazon, Raytheon, FIS, and Baker Hughes.
 
 
 Funding and financials
 
 
 In December 2020, the company went public on NYSE and raised USD 651 million in funding at a USD 10 billion valuation.
 
 
 In 
 <a href="https://sp-edge.com/updates/18995">
 FY2023 (ending April 2023)
 </a>
 , the company generated total revenue of USD 266.8 million (up 5.6% YoY) and a net loss of USD 268.8 million, compared to USD 192.1 million in the prior year.
 
</div>

Datagen provides a self-service synthetic data platform that generates visual synthetic data of humans for computer vision applications. The platform allows users to write their own code to generate labeled synthetic data for faces, full body, and humans in motion in the form of images and videos to test and train AI models while retaining complete control over the data. The data covers a range of computer vision tasks including face landmark detection, face and hair segmentation, facial recognition and identification, full body pose estimation, full body segmentation, and behavior detection.Key customers and partnershipsThe company serves three of the top five global technology companies and Fortune 500 companies across the automotive, smart fitness, AR/VR/metaverse, smart office, and home security industries. Its notable customers include Google, Toyota, NVIDIA, IBM, and Intel.Funding and financialsIn March 2022, the company raised USD 50 million in a Series B funding round led by Scale Venture Partners. The funds were utilized to bolster its position in the market.Datagen reported to have recorded 8x growth in revenue in 2022.

Datagen

Weights &amp; Biases offers a platform that allows users to build models with experiment tracking, data set and model versioning, data visualization, hyperparameter optimization, and model management. The platform enables users to automatically retrain and re-evaluate models and centrally manage all model versions through every lifecycle stage—from development to staging to production. It also helps to visualize comparisons between model versions to evaluate performance and identify regressions before model deployment. It also offers toolkits such as <a href="https://sp-edge.com/updates/19172">W&amp;B Weave and W&amp;B Production Monitoring </a>to build and monitor data- and ML-powered applications, respectively, through interactive visualizations.The company also offers a <a href="https://sp-edge.com/updates/17880">suite of tools (W&amp;B Prompts) </a>to support large language model operations (LLMOps). W&amp;B Prompts includes tools and features for experiment tracking, debugging, and collaboration, as well as a one-click method to evaluate and score prompts through the OpenAI Eval’s framework.The company provides the platform through a free tier and under a subscription model for up to USD 50 per user per month.Key customers and partnershipsWeights &amp; Biases served more than 700,000 ML practitioners as of August 2023. Its notable include NVIDIA, Toyota, BMW Group, Samsung, Fujifilm, Truebill, and Clear Capital.The company has <a href="https://sp-edge.com/updates/18663">partnered with Lambda </a>, a GPU cloud computing provider, to offer its MLOps platform integrated with the infrastructure services of the latter, catering to enterprises dealing with AI and deep-learning workloads.Funding and financialsIn August 2023, the company raised <a href="https://sp-edge.com/updates/20874">USD 50 million in a strategic investment </a>round at a valuation of USD 1.25 billion, led by Daniel Gross and Nat Friedman. The round also saw participation from Sapphire Ventures, Coatue, Insight Partners, and other investors. The company aimed to utilize the fresh funds to further develop its ML tools, including the launch of W&amp;B Prompts.

Weights & Biases

BentoML offers an open-source platform called Bento Cloud, for the deployment and scaling of AI applications. It is a fully managed platform that handles the complexities of AI infrastructure, providing serverless autoscaling as required during the development and production stages. The platform helps to ship models to production with advanced deployment options including online and shadow A/B testing, while also providing visibility through model performance monitoring. The platform integrates with an organization’s existing data stack and enables users to continuously deploy and improve models in production. The company offers its platform through a combination of subscription and usage-based model.In addition, BentoML also provides the following open-source platforms: 1) Yatai, for model deployment on Kubernetes and 2) bentoctl, for model deployment on any cloud platform.Key customers and partnershipsAs of January 2024, BentoML reported that over 1,000 organizations, comprising more than 3,000 members, use its platform. Its notable customers include Koo, Open Layer, Line, and Naver.The company entered into a strategic partnership with TomTom, a developer of location technology, to help integrate with various models as well as in LLM deployments.Funding and financialsThe company raised <a href="https://sp-edge.com/updates/19684">USD 9 million in seed funding </a>in June 2023 led by DCM Ventures, with participation from Bow Capital. It aimed to channel the newly acquired funds to enhance its platform and offer developers a range of tools for building, deploying, and scaling AI applications efficiently.

BentoML

Iguazio provides a serverless platform based on its open-source Nuclio framework that helps users to develop, deploy, and manage real-time AI applications without requiring them to manually manage underlying infrastructures such as servers and storage. The platform creates real-time intelligence for applications located at the edge, public cloud, and on-premise data centers and reduces bandwidth constraints by consolidating data into a repository and making it available for applications as required. The platform can ingest and transform data from any source, which is then used to train, evaluate, deploy, and monitor models in production.The company leverages Big Data and ML software such as Apache Spark, TensorFlow, and Kubernetes to manage software containers that enable applications to run across different computing environments.Key customers and partnershipsIguazio serves customers in the financial services, telecommunications, smart mobility, manufacturing, retail, AdTech, gaming, healthcare, energy, and utilities sectors. Notable customers include Samsung, Microsoft, NVIDIA, AWS, Google, and Intel.Funding and financialsIn January 2020, the company raised USD 24 million in a funding round led by INCapital Ventures. The funds were utilized to accelerate its growth, expand its reach into new global markets, grow sales, and facilitate new sales channels that include companies such as Dell Technologies

Iguazio

Cogito Tech provides image and video annotation to generate computer vision training data sets for ML &amp; deep learning (DL). The video annotation solution leverages AI-powered tools to convert video into a sequence of images and generates training data sets for ML-based AI models, including self-driving cars and drones. The AI model understands and derives insights from visual data to detect, identify, classify, and track objects in an image or video. Cogito also provides virtual assistants and chatbots to help users in the process of training ML algorithms. Cogito Tech also provides high-quality, ethically sourced datasets that are compliant and reliable to train ML models.In addition, the company provides services to fine-tune LLMs and GenAI applications through reinforcement learning techniques as well as stress test models through red teaming.Key customers and partnershipsAs of December 2022, the company served more than 150 customers across 25 countries in the retail, medical, automotive, agriculture, robotics, smart cities, security, and manufacturing industries. Notable customers includes Verizon Media, The University of Sydney, National Geographic, Tumblr, and Vimeo.

Cogito Tech

Platforms and frameworks that help developers build and train ML models.

Platforms that generate artificial data that mimics the characteristics of real data, which is then used to train ML models at scale.

Platforms that help monitor and manage ML models in training and deployment to track performance, conduct variance analysis, and optimize performance.

Makers of hardware such as CPUs, GPUs, and other application-specific hardware required to train and run ML workloads.

Data exchange providers and platforms that offer data labeling services via manual and/or software methods, which are used as input to train ML models.

Includes companies that provide infrastructure to build AI/ML applications

Provides tools to build, monitor, and deploy GenAI applications

Industry is focused on offering platforms for other businesses to build AI-/ML-powered apps

<div>
 
 C3 AI is an enterprise AI software application company that provides a comprehensive suite of products for developing, deploying, and operating artificial intelligence applications. Founded by Silicon Valley entrepreneur Tom Siebel, the company offers the C3 AI Platform, an end-to-end solution for enterprise AI applications, along with a portfolio of industry-specific SaaS enterprise AI applications. C3 AI's offerings enable digital transformation across various sectors, with a focus on solving complex problems at scale. The company's product lineup includes C3 Generative AI, a suite of large AI transformer models designed for enterprise use. C3 AI's technology is utilized in diverse applications, such as predictive maintenance, data analytics, and decision support systems. In the defense sector, C3 AI has developed solutions like the Predictive Analytics and Decision Assistant (PANDA) for the US Air Force, which optimizes fleet maintenance and increases aircraft availability. The company's AI-driven analytics and data fusion capabilities have been applied to various military aircraft platforms, including the F-35A, to enhance warfighter capabilities and operational efficiency.
 
 
 
 
 Key customers and partnerships
 
 
 
 
 
 C3 AI's software is employed by major organizations worldwide, including Shell, Bank of America, Koch Industries, and ENGIE. In the public sector, the US Air Force is a significant customer, with C3 AI's PANDA solution designated as the system of record for Condition Based Maintenance Plus (CBM+) and predictive maintenance in April 2023. The company has established partnerships with leading technology and services providers such as Google Cloud, Microsoft, Amazon, Raytheon, FIS, and Baker Hughes to support its customers' success. C3 AI has also collaborated with Microsoft and a consortium of research universities to create the C3.ai Digital Transformation Institute, which aims to accelerate the benefits of artificial intelligence for business, government, and society.
 
</div>

Hermeus is an Atlanta-based aerospace company focused on developing hypersonic aircraft for both military and commercial applications. The company's primary goal is to create reusable aircraft capable of reaching speeds of Mach 5 (over 3,000 miles per hour) or higher. Hermeus' technology is centered around its proprietary Chimera engine, a turbine-based combined cycle (TBCC) engine that integrates a turbojet for low-speed flight and a ramjet for high-speed operations. This innovative propulsion system allows for seamless transition between different speed ranges, enabling aircraft to take off from standard runways, reach hypersonic speeds, and land conventionally.
The company is currently developing a series of unmanned aircraft prototypes called Quarterhorse to demonstrate and refine its hypersonic technology. In March 2024, Hermeus unveiled its first flyable aircraft, the Quarterhorse Mk 1, which is expected to undergo flight tests at Edwards Air Force Base later in the year. This prototype is powered by a General Electric J85 engine and is designed to test high-speed takeoffs and landings. The company plans to progress through iterations, with the Quarterhorse Mk 2 aimed at achieving supersonic flight in 2025 using a modified Pratt & Whitney F100 engine.
Hermeus' long-term vision includes developing two primary aircraft: Darkhorse, an unmanned hypersonic vehicle for defense applications, and Halcyon, a commercial passenger aircraft capable of flying from New York to London in 90 minutes. The company's approach focuses on iterative development and cost-effective manufacturing, including the use of 3D printing for some components.

Hermeus

Epirus is a high-growth technology company founded in 2018 that develops directed energy systems and power management solutions. The company's flagship product is Leonidas, a counter-electronics system that uses high-power microwave (HPM) technology to neutralize drone threats. Leonidas utilizes solid-state, software-defined technology enabled by Epirus' proprietary SmartPower platform. This allows the system to be smaller, more precise, and safer than traditional HPM systems. Leonidas can fit in the back of a pickup truck and has demonstrated the ability to counter swarming drones and execute precision strikes at range.
In addition to Leonidas, Epirus introduced a smaller, more portable version called Leonidas Pod in February 2022. Both systems can work together to create a layered defense network against incoming threats. The company's products are powered by its SmartPower technology platform, which uses machine learning and artificial intelligence to gate energy at the nanosecond level, increasing efficiency and maximizing output.
Epirus has rapidly scaled its operations since founding. As of February 2022, the company had around 200 employees, with about 150 working at its 100,000-square-foot headquarters in Torrance, California. In January 2023, Epirus was awarded a USD 66.1 million contract from the US Army's Rapid Capabilities and Critical Technologies Office to deliver prototype Leonidas systems.
Key customers and partnerships
Epirus has established partnerships with several defense organizations. In October 2021, the company announced an agreement to partner with General Dynamics Land Systems to have its Leonidas system mounted on General Dynamics' Stryker combat vehicles.
In April 2024, Epirus announced that its Leonidas technology would be tested against small vessels in the US Navy's 2024 Advanced Naval Technology Exercise-Coastal Trident (ANTX-CT24). This trial will examine how high-power microwaves can disable outboard motors and other maritime applications, expanding the potential use cases for Epirus' technology beyond counter-drone operations.

Epirus

Centimani develops lightweight, unpowered exoskeleton arms to enhance soldier performance on the battlefield. The company's technology aims to maximize soldier survivability and lethality by redistributing the weight of heavy equipment from arms and shoulders to the trunk. This innovative solution allows soldiers to operate heavy machines for extended periods with increased precision and safety, while maintaining freedom of movement. The exoskeleton also offers the additional benefit of reducing shot recoil when operating heavy weapons. By addressing the challenge of soldiers carrying heavy equipment, including weapons, Centimani's technology helps improve endurance levels and overall combat effectiveness.

Centimani

Blue Origin, founded by Jeff Bezos in 2000, is a private American aerospace company headquartered in Kent, Washington. The company's mission is to enable millions of people to live and work in space for the benefit of Earth. Blue Origin develops reusable launch vehicles and in-space systems to lower the cost of access to space and increase reliability. Its key products include the New Shepard suborbital vehicle and the New Glenn orbital launch vehicle.
The New Shepard, named after Alan Shepard, is a fully reusable vertical takeoff and landing space vehicle designed for suborbital space tourism flights. It consists of a pressurized crew capsule and a propulsion module powered by Blue Origin's BE-3 engine. As of July 2021, New Shepard had carried out 22 successful consecutive missions, including three escape tests. The vehicle is controlled entirely by onboard computers without ground control or a human pilot.
Blue Origin is also developing the New Glenn, a 95-meter tall orbital launch vehicle named after John Glenn. The two-stage rocket is designed to be reusable and will have a larger lift capacity than many existing commercial rockets. New Glenn's first stage will be powered by seven BE-4 engines and is expected to land vertically on a ship at sea, similar to SpaceX's Falcon 9 boosters. The company is targeting its first orbital test launch of New Glenn for 2024.
In addition to launch vehicles, Blue Origin is working on other space technologies. These include the Blue Moon lunar lander, designed to deliver payloads to the Moon's surface, and Project Jarvis, a fully reusable upper stage. The company is also developing Orbital Reef, a commercial space station project.
Key customers and partnerships
Blue Origin has secured several customers for its New Glenn launch vehicle, including Eutelsat, SKY Perfect JSAT, and mu Space Corp. The company is also part of NASA's Artemis program, having been awarded a contract in April 2020 to develop an integrated human landing system for returning humans to the Moon.
In June 2024, Blue Origin was selected by the US Space Force, along with other providers, to compete for small satellite launch missions under the Orbital Services Program-4 (OSP-4) contract. This selection allows Blue Origin to bid on national security space launch contracts, expanding its potential customer base beyond commercial and civil space sectors.
Blue Origin has also formed partnerships with established aerospace companies. In 2014, it entered into a partnership with United Launch Alliance (ULA) to produce the BE-4 engine for ULA's Vulcan rocket. Additionally, for its lunar lander project, Blue Origin leads the "National Team," which includes Lockheed Martin, Northrop Grumman, and Draper.

Blue Origin

<div>
 
 Rocket Lab is a space company that builds rockets and spacecraft that make it easier to get into orbit and do amazing things there. Rocket Lab provides end-to-end mission services that provide frequent and reliable access to space for civil, defence, and commercial markets. 
 
 
 Rocket Lab designs and manufactures the Electron launch vehicle and Photonsatellite platform and is developing the Neutron launch vehicle. Since its first orbital launch in January 2018, Rocket Lab&rsquo;s Electron launch vehicle has become the second most frequently launched U.S. rocket annually and has delivered 105 satellites to orbit for private and public sector organizations, enabling operations in national security, scientific research, space debris mitigation, Earth observation, climate monitoring, and communications. 
 
 
 Rocket Lab has two launch sites, including a private orbital launch site located in New Zealand and a second launch site in Virginia, USA, expected to be operational by the end of 2021. Rocket Lab&rsquo;s Photon spacecraft platform has been selected to support NASA missions to the Moon and Mars, as well as the first private commercial mission to Venus.
 
</div>

Rocket Lab

Robotics and semi/fully autonomous ground, aerial, and marine vehicles that can be used for military applications, such as surveying, logistics, reconnaissance, and combat.

Developers of sophisticated and advanced defense equipment to counter emerging threats. These solutions include hypersonic flights, directed energy systems, and space militarization.

The use of simulation technologies such as VR and AR to construct STEs for combat training and mission rehearsals.

Internet of Military Things (IoMT) uses sensors, wearables, and IoT devices in military applications

Use of simulation technologies such as VR/AR for combat training and mission rehearsals

Robotics that can be used for military applications, such as surveying, logistics, reconnaissance, and combat

C3 AI offers a suite of AI products enabling enterprises to deploy AI applications. The company's AI software product lineup includes the C3 AI Platform, C3 Generative AI Suite, and C3 AI Applications.The C3 AI Platform is a platform streamlining the development, deployment, and management of large-scale AI applications, while the C3 Generative AI Suite includes domain-specific GenAI solutions designed to cater to the distinct requirements of various industries. C3 Generative AI solutions are compatible with the customer's choice of cloud platform, including Google Cloud, AWS, and Azure. Notably, C3 Generative AI solutions address common security and accuracy challenges associated with LLMs in the commercial enterprise sector by offering deterministic answers, traceability to ground truth, enhanced data security, restricted LLM reasoning to enterprise-owned data, and the ability to switch between LLMs, thereby reducing the risk of generating erroneous information. In <a href="https://sp-edge.com/updates">March 2024 </a>, C3 AI launched a “Standard Edition” on Google Cloud Marketplace to enable easy access to data insights from enterprise documents and files.Under its C3 AI Applications, the company provides a collection of ready-to-use enterprise AI applications tailored for diverse sectors, such as oil and gas, chemicals, utilities, manufacturing, financial services, defense, intelligence, aerospace, healthcare, and telecommunications.&nbsp;C3 also offers its AI Ex Machina no-code AI platform, which allows users to develop, scale, and apply AI insights into enterprise systems without needing to write any code.C3 also offers its C3 AI Pilot Program, designed to help businesses implement a C3 AI application within six months.&nbsp;The company went public on December 9, 2020, at a market cap of ~USD 4 billion. The company’s total revenue for FY2023 was USD 266.8 million, an increase of 5.6% compared to FY2022 and a GAAP net loss per share of USD (2.45).Key customers and partnershipsC3 AI’s has a prominent clientele in the private and public sectors. Notably, its customer base includes energy companies like Shell, Duke Energy, and Meg Energy, while its public sector clients include the US Army, NY Power Authority, The Department of Defense, and San Mateo County.Notable partnerships include its collaboration with Microsoft (<a href="https://sp-edge.com/updates/36327">November 2024</a>) to become the latter’s preferred AI cloud provider, and enhance adoption of enterprise AI solutions on the Microsoft Azure cloud platform.Other partnerships included that with Amazon where AWS was to utilize C3 AI products to offer AI solutions, a partnership with Google Cloud to make C3 AI's GenAI product suite available on Google's Public Cloud Marketplace (May 2023), and a partnership with Raytheon to expand AI adoption across the US military (December 2020).&nbsp;

Founded in Israel, NeuReality specializes in providing hardware infrastructure to streamline computation processes to accelerate the development of AI applications. Its technology assists AI inferencing deployment by offering a comprehensive system solution that seamlessly supports a vast array of deep learning models.NeuRealitys’ infrastructure includes an architecture called the Network Addressable Processing Unit (NAPU) to maximize the capabilities of Deep Learning Accelerators (DLAs). This design facilitates inference through purpose-built NAPUs that are specifically crafted for AI inference tasks, enhancing performance and efficiency.The NR1 AI Inference Solution by NeuReality is a comprehensive system comprising architecture, hardware, and software platforms. Launched in November 2023, it intends to simplify the installation, utilization, and management of AI, making it accessible and manageable for users.The hardware offerings of the solution include,1. NR1 Network Addressable Processing Unit : A network addressable inference Server-on-a-Chip with an embedded Neural Network Engine, which is a workflow-optimized hardware device with specialized processing units, native network capabilities, and virtualization capabilities2. NR1-M™ AI Inference Module : A full-height, double-wide PCIe card containing one NR1 Network Addressable Processing Unit (NAPU) system-on-chip and a network addressable Inference Server that can connect to an external Deep Learning Accelerator (DLA)3. NR1-S AI Inference Appliance : An optimized design for an inference server that contains NR1-M modules with the NR1 NAPU, which enables disaggregated AI service in a scalable and efficient architectureThe software component of the solution is designed to be compatible with any trained model from any development environment. It includes tools that handle the entire AI pipeline and enable seamless connection of AI workflows to any environment.NeuReality differs from traditional AI chip connectivity in replacing CPU-centric support with an AI-centric platform. This allows components to communicate directly with AI accelerators, eliminating the need for commands to pass through a central processing unit. Additionally, the technology enables AI accelerators to connect with each other, enhancing efficiency and performance in AI applications. It also claims its AI-centric approach reduces complexity, cost, and power usage. The firm claims it can reduce inference costs by 90%.Key customers and partnershipsIn November 2021, NeuReality teamed up with IBM to develop advanced AI inference technology by enhancing its NR1 chip and system for use in IBM's Hybrid Cloud.In September 2021, the company partnered with Xilinx to develop AI-centric platforms that improve real-world AI applications. This collaboration was intended to focus on NeuReality's AI-centric inference platform NR1-P and address existing issues with AI deployment including cost and complexity.

NeuReality

<div>
 
 Accubits is an AI and BLOCKCHAIN focused development and solutions company based in Washington DC with its development offices in India and Dubai. Pioneering as a custom Blockchain solutions provider delivering solutions ever since 2012, Accubits is one of the oldest and experienced Blockchain dev house in the market and is featured as one among the top 13 Blockchain companies in India by INC42. We are a big family of engineers, innovators, inventors and many others continually working to help our customers in leveraging their business and adding value to their lives. Over the past 6 years, We have delivered more than 600 projects, for over 200 clients worldwide. Several of Fortune 500 companies in sectors from Retail to Health are being powered by our solutions to streamline and leverage their growth.Our portfolio for AI solutions includes intelligent conversational tools, RPAs, CRMs, SIPs, real-time video and image analytics systems, state of the art ALPR systems and many more being used enterprises, startups across North America, Canada, Middle East, Hong Kong, Singapore, Indonesia, India &amp; Sweden. Our portfolio of Blockchain development includes custom DApps and smart contracts, crypto token and exchange development, integrated blockchain services and ICO platforms.
 
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Accubits

<div>
 
 LeewayHertz is a leading software development company delivering tailor-made digital solutions to businesses worldwide. Our team of 250+ full-stack developers, designers and innovators has designed and developed 100+ digital solutions across industry verticals. As a close-knit team of AI and web3 experts, designers and full-stack developers, we undertake collaborative research and development to create next-gen applications and solutions perfectly suited to the evolving tech space. As a technology pioneer with deep knowledge and expertise in AI, blockchain and other advanced technologies like IoT, LeewayHertz believes in helping companies overcome their most complex tech challenges and drive business growth. Our motto, &lsquo;You Dream It: We Build It,&rsquo; reflects our business philosophy. From putting flesh on your idea to delivering the expected end product, we do whatever it takes to make your project successful. Having worked with 30+ top fortune 500 companies and created various on-demand solutions, we boast an impressive work portfolio demonstrating our expertise.
 
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LeewayHertz

Databricks, a data and AI company established by the original developers behind prominent Big Data solutions such as Delta Lake, Apache Spark, and MLflow, and provides organizations with AI and data analytics tools for efficient management of their data.&nbsp;Databricks' primary product is the Databricks Lakehouse platform, a unified data intelligence platform that merges a data warehouse and data lake to provide developers with efficient access to data and enables enterprise customers to create their AI models—similar to a ChatGPT-style AI system—using only their internal data.&nbsp;Databricks Unity Catalog, part of the Databricks Lakehouse Platform, provides unified governance for structured and unstructured data, machine-learning models, notebooks, dashboards, and files across various environments, offering automated monitoring, proactive alerts, and seamless data sharing through Delta Sharing integration. Furthermore, Databricks offers an open architecture that streamlines the AI development process, allowing the integration of various LLMs such as Llama 2, Azure OpenAI, and Anthropic, enabling customization with enterprise data for tailored model creation. In&nbsp;<a href="https://sp-edge.com/updates/28436">April 2024</a>, Databricks introduced its Data Intelligence platform for energy to use AI technology to process large data for energy companies. Following this, the company added synthetic data capabilities for AI agent evaluation in&nbsp;<a href="https://sp-edge.com/updates/37008">December 2024</a>.Notably, Lakehouse leverages NVIDIA technology for accelerated data processing and AI model generation. Databricks also offers industry-specific solutions like Databricks Lakehouse for Healthcare, Financial Services, Retail, and Manufacturing.Databricks has expanded its offerings through multiple acquisitions, including MosaicML (<a href="https://sp-edge.com/updates/19683">July 2023</a>), Arcion (<a href="https://sp-edge.com/updates/23041">October 2023</a>), Okera (<a href="https://sp-edge.com/updates/18197">May 2023</a>), and Datajoy (October 2022).&nbsp; Key customers and partnershipsAs of November 2024, Databricks served a global customer base of more than 10,000 organisations, including Comcast, Conde, DuPont, Honeywell, Rolls-Royce, Shell, and Tata Steel.Databricks collaborates with over 1,200 global cloud, ISV, and consulting partners to deliver data, analytics, and AI solutions, supporting customers in scaling their projects.Notable partnerships include collaboration with AWS in&nbsp;<a href="https://sp-edge.com/updates/34884">October 2024</a> to leverage AWS Trainium chips as the preferred AI chip to power Databricks' Mosaic AI model training and serving capabilities.&nbsp;Databricks also partnered with Karini AI in&nbsp;<a href="https://sp-edge.com/updates/33687">September 2024</a> to accelerate GenAI deployment for enterprises.&nbsp;

Databricks

Labelbox offers a data-centric AI platform for enterprises, enabling them to develop, optimize, and use AI to solve complex problems and power new products and services.&nbsp;&nbsp;Labelbox’s platform offers capabilities for building, optimizing, training, fine-tuning LLMs, and AI-enabled data labeling automation.&nbsp;Its products include&nbsp;1) Catalog: A platform for building AI applications with features such as advanced search capabilities and optimizing data for labeling budgets2) Annotate: A data labeling solution designed to streamline and accelerate labeling operations using automation tools and pre-labeling techniques(3) Model: Offers tools for data enrichment, model-assisted labeling, and custom Foundry Apps to automate data management tasks and improve AI model performance&nbsp;&nbsp;(4) Boost: Offers fully managed tailored solutions such as on-demand data labeling services to enhance AI development speed and efficiency.&nbsp;As such, Labelbox enables companies to streamline the fine-tuning and alignment of LLMs and enables the validation of outputs through techniques such as reinforcement learning with human feedback (RLHF), reinforcement learning from AI feedback (RELIEF), and evaluation. This incorporation of human expertise ensures more accurate, contextually relevant, trustworthy, and secure results from LLM systems.The platform is offered through a SaaS subscription model with packages ranging from free subscriptions with limited usage and custom pricing for enterprises.Key customers and partnershipsThe firm's solutions have use cases across diverse industries, including retail, consumer internet, healthcare, manufacturing, and financial services. Labelbox has a large portfolio of customers, including NASA's Jet Propulsion Laboratory and Blue River Technology, a smart AgriTech company that used Labelbox's model-assisted labeling suite to enhance its See &amp; Spray technology in smart agriculture, resulting in herbicide cost savings of 70%–80. Labelbox's customers also include several Fortune 500 companies, such as Walmart, P&amp;G, Audi Adobe, Airbnb, Bayer, and Bosch.Key partnerships include a long-term collaboration with <a href="https://sp-edge.com/updates/21770">Google Cloud </a>to facilitate digital transformations in retail, consumer internet, financial services, and manufacturing and logistics.&nbsp;

Labelbox

Platforms that provide hardware such as high-performance CPUs, GPUs, or TPUs, including cloud-based solutions that are commonly used to train and run GenAI models efficiently

Platforms that assist with fine-tuning pre-trained GenAI models or custom models tailored to specific use cases. Includes services that train models from scratch or use existing models

Platforms that store and retrieve training data in vector databases for access during the model training phase

Services to deploy GenAI models (on-premises or cloud-based) into production environments and integration tools to support existing systems and workflows

Ongoing monitoring of GenAI models to ensure performance. Includes regular model retraining, performance optimization, and troubleshooting

Platforms that assist in designing and refining prompts or instructions to GenAI models to get the desired responses or outcomes

Platforms that enable safe, responsible, and ethical GenAI deployment, ensuring compliance with regulations and/or protection against GenAI-based cybersecurity threats.

All services offered by these companies provide support to AI/ML

NLP is a key component of generative AI which is the core focus of this hub.

All companies within this space are offering infrastructure for generative AI

Generative AI infrastructure hub covers companies that deploy and run these foundation models.

Fivetran is a cloud-based automated data integration platform that enables businesses to move data from various sources, including SaaS applications, databases, and files, into data warehouses, data lakes, and other destinations. The company's platform offers multiple deployment models to meet diverse business needs, ranging from stringent security requirements to maintaining on-premises databases even after partial cloud migration.The company's data movement platform is designed to automate and streamline the process of extracting, loading, and transforming (ELT) data, empowering organizations to focus on data-driven insights and decision-making. With real-time analytics, database replication, AI workflows, and cloud migrations facilitated by Fivetran, thousands of customers worldwide can leverage the platform to drive business growth.Fivetran's core offering revolves around its connector library, which supports over 500 data sources, including SaaS applications, databases, ERPs, and files. These connectors enable automatic, reliable, and secure data movement, regardless of whether the data resides on-premises, in the cloud, or in a hybrid environment. The platform's scalable architecture allows businesses to seamlessly add or remove data sources as their needs evolve.To enhance the usability and accessibility of the ingested data, Fivetran employs a normalized schema approach. By delivering data in a normalized format, the platform enables customers to remix and reshape the data according to their specific requirements, facilitating efficient data analysis and reporting. Additionally, Fivetran offers pre-built data models and dbt Core integration, empowering customers to create analytics-ready tables tailored to their business use cases, such as analyzing deal opportunities from Salesforce, generating general ledger reports from QuickBooks data, or evaluating return on ad spend across advertising platforms.In <a href="https://sp-edge.com/updates/30203">June 2024</a>, the company launched Managed Data Lake Service to simplify the process of managing data lakes for businesses of any size. Key benefits include the ability to centralize data for insights and convenience. Furthermore, it reduces costs by discontinuing support for legacy data warehouses.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33748">Fivetran introduced "Hybrid Deployment",</a> allowing customers to run data pipelines within their environment while managing them through Fivetran's platform. This solution enables enterprises to securely centralize data from various sources, including cloud-based SaaS apps and legacy databases. Fivetran claims Hybrid Deployment offers full visibility of all pipelines from a single interface, enhanced data security, and simplified setup and maintenance.Key customers and partnershipsOver the years, Fivetran has attracted a diverse range of customers across various industries, including ecommerce, finance, technology, and media. Notable clients include Autodesk, Conagra Brands, JetBlue, Lionsgate, Morgan Stanley, and Ziff Davis, among others. These companies leverage Fivetran's platform to streamline their data integration workflows, optimize their analytics capabilities, and gain a competitive edge through data-driven decision-making.To further enhance its offerings and enable seamless integrations, Fivetran has established strategic partnerships with various technology providers, including data warehousing solutions, cloud platforms, and business intelligence tools. For instance, Fivetran collaborates with Databricks, enabling customers to build an open lakehouse with Delta Lake powered by the Databricks Data Intelligence Platform. Additionally, Fivetran's integration with Unity Catalog provides out-of-the-box governance and security for Fivetran-generated tables.

Fivetran

<div>
 
 Domo is a cloud-based analytics platform that enables businesses to connect, transform, and visualize data from various sources. It provides a comprehensive solution for data management, analysis, and visualization, empowering organizations to make data-driven decisions. Domo's platform is designed to foster collaboration, efficient decision-making, and improved business outcomes through its user-friendly interface and powerful data manipulation capabilities.
 
 
 Domo's key offerings include data integration, data warehousing, business intelligence (BI), and intelligent applications. The platform leverages its Adrenaline engine and offers over 1,000 pre-built connectors to extract data from cloud applications, databases, spreadsheets, and other sources. This data is then stored in Domo's internal data warehouse or accessed through federated queries, enabling users to analyze and visualize it using Domo's extensive collection of visualization tools and dashboards.
 
 
 Domo&rsquo;s user experience is designed to be intuitive and accessible, fostering high adoption rates across organizations. Its user-friendly interface, seamless collaboration features, and mobile-first approach contribute to its widespread adoption and ease of use. Domo's platform is built for speed and scalability, allowing organizations to quickly access and analyze even large datasets without experiencing performance issues.
 
 
 Key customers and partnerships
 
 
 Domo serves over 2,300 customers across various industries, including major enterprises such as eBay, Walmart, Cisco, Citibank, HP, The National Geographic Society, Verizon, US Army, Vanguard, Microsoft, IBM, Thomson Reuters, Airbus, Orange, AT&amp;T, Caterpillar, Volvo Cars, and Comcast.
 
 
 The platform has been widely adopted by organizations seeking to leverage data for better decision-making, improved customer insights, and enhanced marketing analytics. Domo has formed strategic partnerships with companies like Regional One Health and Torchy's Tacos, enabling them to leverage Domo's capabilities for healthcare metrics and finance applications, respectively.
 
</div>

Domo

Founded in 2014, Confluent, Inc. is a technology company headquartered in Mountain View, California. The company specializes in data streaming platforms, primarily based on Apache Kafka, an open-source project created by Confluent's founders while working at LinkedIn. Confluent offers two main products: Confluent Platform, an on-premise solution, and Confluent Cloud, a fully managed SaaS. These products help organizations harness real-time data streams for various applications, including microservices, Internet of Things (IoT), financial services, fraud detection, and customer analytics.Confluent's primary offering in data infrastructure services is its integration solution, which enables organizations to unify data from disparate sources. The Confluent Platform and Confluent Cloud act as clients' central nervous systems, allowing them to connect various IT systems and applications to capture and process real-time data streams. This capability enables businesses to make decisions based on continuously flowing data.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33818">Confluent announced upgrades to its Confluent Cloud</a> product, enhancing support for Apache Flink. The updates include support for the Table API, simplifying development for Java and Python users, and private networking support to improve data security. These upgrades aimed to simplify Flink deployments, enhance security, and make it easier for organizations in regulated industries to stream data and integrate it into applications.Key customers and partnershipIn December 2023, Confluent expanded partnerships with MongoDB, Pinecone, Rockset, Weaviate, and Zilliz as part of its "Data Streaming for AI" initiative. These partnerships aimed to provide real-time contextual data from Confluent's platform to partners' vector databases, facilitating the development of AI-powered applications.

Confluent

<div>
 
 dbt Labs provides an open source data transformation tool that uses analytics engineering. It is aimed at programmers with knowledge of SQL to develop models with SELECT statements, test and document each model, and install safely with Git-enabled version control. The software enables the user to develop faster, work from the same assumptions, deploy with confidence, and&nbsp; ensure low risk with governance and safety. The company also offers dbt Core, which is an open source software for analytics engineers, and dbt Cloud Enterprise for secure, reliable access to data. JetBlue and Domain are some of its clients.
 
 
 
</div>

dbt Labs

Starburst provides an analytics engine that enables organizations to access and analyze distributed data without moving it from its source location. The company's platform is built on Trino (formerly known as Presto), a distributed SQL query engine designed for running interactive analytics queries across various data sources. The platform allows users to query data across multiple databases, data lakes, and data warehouses simultaneously, eliminating the need for costly and time-consuming data centralization. In February 2023, Starburst introduced Warp Speed, a smart indexing and caching solution that accelerates queries up to 7x faster by autonomously identifying and caching frequently used data. The company's software includes two main offerings: Starburst Enterprise for self-managed deployments and Starburst Galaxy, a Software-as-a-Service (SaaS) solution launched in 2021 that enables data lake and cross-cloud analytics. In February 2022, Starburst reported tripling its customer base and annual recurring revenue in the previous 12 months.
Key customers and partnerships
Starburst's platform is used by organizations including Zillow, Standard Chartered, Carrefour Brazil, Comcast, DoorDash, VMware, and Condé Nast. The platform helped Priceline reduce data storage costs by 5-10x while AssuranceIQ achieved a 10% increase in conversion rates. Starburst had established partnerships with major cloud platforms including AWS, Azure, Google Cloud Platform, Alibaba Cloud, Red Hat, and HPE. The company also partnered with Red Hat as one of the inaugural members of the Red Hat OpenShift Data Science ecosystem.

Starburst

Solutions to unify data from disparate sources by extracting, transforming, loading, and storing data in a usable form (such as in data warehouses) for further analysis.

Tools to monitor data for quality issues in real-time, as it moves throughout the data pipeline.

Providers of storage solutions that help accelerate data analytics. These include primary storage solutions, such as data warehouses and data lakes, and secondary storage solutions for non-mission-critical data.

Companies that use GenAI as a core part of their product offering for data infrastructure & analytics.

Leverages GenAI to help organizations extract insights and supports GenAI application development through data preparation

Offers data analytics and storage platforms for business under a B2B SaaS model

These are tools that help prepare data for AI/ML applications

INCUMBENTS_PRESENT

PROMINENT_CATEGORY

<div>
 C3 AI, a provider of the integrated LLMOps platform, announced its partnership with Microsoft during the Ignite 2024 conference. The collaboration aims to increase the uptake of enterprise AI solutions on the Microsoft Azure cloud platform.
 As part of the partnership, C3 AI's Enterprise AI applications will be technically integrated into Microsoft's Commercial Cloud Portal. The collaboration will also see joint product development through regular roadmap alignment and combined sales and marketing initiatives.
 With this agreement, Microsoft is set to become C3 AI's preferred cloud provider. In return, C3 AI will become a preferred provider of AI application software on Azure. Several C3 AI Enterprise solutions will be immediately available, including those for Energy Management, ESG, Reliability, and Generative AI applications.
</div>

C3 AI

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