Amadeus Capital is a global technology investor that invests in technology companies at all stages, from seed to venture buyout; they also buy stakes from other investors or founders, to ensure that companies and entrepreneurs have the runway they need to succeed. They invest in a broad variety of sectors including enterprise and infrastructure software, consumer and business services, medical technology and healthcare IT, and cleantech and resource efficiency. It has the imagination to see where new businesses can be created and the technical insight, operational experience and global network to help entrepreneurs make their vision a reality. The Company was founded in 1997 and since has backed more than 130 companies and raised over $1bn for investment.

Amadeus Capital Partners

Bosch Ventures (Robert Bosch Venture Capital GmbH) is the corporate venture capital company of the Bosch Group, a leading global supplier of technology and services. Bosch Ventures invests worldwide in innovative start-up companies at all stages of their development. Its investment activities focus on technology companies working in areas of business of current and future relevance for Bosch, above all, automation and electrification, energy efficiency, enabling technologies, and healthcare systems. Bosch Ventures also invests in services and business models as well as new materials that are relevant to the above-mentioned areas of business. Bosch Ventures invests from EUR 500k for a seed funding to more than EUR 15m per company for usually 10% to 25% equity position. Bosch Ventures prefers to syndicate their investments with existing or new investors in the company and can take the lead as necessary.

Bosch Ventures

Samsung Strategy and Innovation Center (SSIC) is focused on identifying and nurturing new technologies in promising new areas such as mobile health and wellness, data center/cloud computing, Internet of Things, human-computer interface technologies, privacy/security, and more. Headquartered in Silicon Valley, with offices in Korea, Israel and the U.K., SSIC’s mission is to develop and accelerate groundbreaking technologies through open innovation working in collaboration with entrepreneurs and strategic partners to enhance people’s lives and open new possibilities.

Samsung Strategy and Innovation Center

Foundation Capital is a venture capital firm dedicated to the proposition that one entrepreneur's idea, with the right support, can become a business that changes the world. The company is made up of former entrepreneurs who set out to create the firm they wanted as founders. This forward-thinking team of VCs has helped companies like Lending Club change the way money is lent and borrowed, Sunrun reinvent the residential clean energy market, and Netflix revolutionizes media distribution and consumption, among many others. Foundation Capital is currently invested in more than 60 high-growth ventures in the areas of consumer, information technology, software, digital energy, financial technology, and marketing technology. These investments include AdRoll, Beepi, Bolt Threads, DogVacay, Kik, ForgeRock, Lending Home, Localytics, and Visier. The firm's twenty-six IPOs include Lending Club, OnDeck, Chegg, Sunrun, MobileIron, Control4, TubeMogul, Envestnet, Financial Engines, Netflix, NetZero, Responsys and Silver Spring Networks.

Foundation Capital

Pitango VC is a venture capital firm focused on health-tech (Pitango Health-tech) and growth (Pitango Growth) investments in startups around the world in domains such as vertical SaaS, digital health, deep tech, fintech and insurance technology, devops, generative AI, Web3, and food tech. With two offices in Israel, Pitango currently manages several venture funds totaling over $2.8 billion in committed capital. It has invested in more than 250 companies.

Pitango VC

Molten Ventures is a venture capital company. They invest in software, telecoms, electronics, the internet, MedTech, and cleantech services. They support visionary entrepreneurs who will invent the future.

Molten Ventures

C4 Ventures is a leading European venture fund founded by Pascal Cagni (VP & GM Apple EMEIA 2000-2012). Based in Paris and London, they typically invest from Series A and onward in startups which are based in Europe and later stage startups seeking to expand into European markets. Their goal is to create a different kind of venture firm, one that focuses on partnering with entrepreneurs to navigate the complex European landscape. Both people and products drive their investments. They look for founding teams who are not afraid of challenging the status quo and want to revolutionise industries and practices — hence their explosive name. Their team has strong experience in product development, omni-channel/go-to-market strategy and scaling up businesses in Europe and globally. For more information, subscribe to their newsletter, check their portfolio and have a look at the companies and teams they believe in.

C4 Ventures

Dell Technologies Capital is the investment arm for Dell Technologies.  We’ve invested in over 100 companies that push the envelope on digital technology for enterprises and consumers.  We are a team of world-class investors who help our companies succeed.  We focus on early-stage investments with passionate founders. Our companies gain unique access to the go-to-market capabilities of Dell Technologies. For more information visit www.delltechcapital.com

Dell Technologies Capital

Atomico is an international investment firm that focuses on helping disruptive technology companies scale globally. It partners with technology founders at the Seed stage and beyond with a particular focus on Europe, leveraging deep operational experience to supercharge their growth. The company's team of founders, investors, and operational leaders have been responsible for global expansion, hiring, and marketing at companies from Skype, Google, and Twitter to Wise and Snowflake. It specializes in seed, startup, Series A, early venture, mid venture, late venture, emerging growth, and growth capital investments.   Atomico was founded in 2006 and is headquartered in London, England, with offices in Paris, Berlin, and Stockholm

Atomico

Sequoia is a venture capital focused on energy, financial, enterprise, healthcare, internet, and mobile startups. The firm helps a small number of daring founders build legendary companies. It spurs them to push the boundaries of what’s possible. The firm seeks to invest in all sectors with a focus on energy, financials and financial services, healthcare and healthcare services, Internet, mobile, outsourcing, and technology.

Sequoia Capital

The Samsung Catalyst Fund is Samsung Electronics’ evergreen multi-stage venture capital fund that invests in the new data economy and strategic ideas for Samsung’s mobile, device solutions and consumer electronics groups. Investment spans across Automotive, Robotics, Digital Health, Internet of Things, Artificial Intelligence, Cloud Infrastructure, and Device-Level Solutions. Through Samsung Catalyst Fund, entrepreneurs are enabled by Samsung’s global brand, manufacturing and distribution, domain expertise, recruiting network, and world-class Innovation Fellows for advice and mentorship.

Samsung Catalyst Fund

BMW i Ventures invests in cutting-edge solutions focusing on BMW’s current and future business in the technology and customer and service space. BMW i Ventures invests in high-performance companies and helps them execute quickly by delivering agile precision—ensuring real-world impact on hardware, software, sustainability across manufacturing, transportation, and services.

BMW i Ventures

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

Microsoft

Sofina is an investment company that provides minority investments, private funds, guidance, market knowledge, networking, and investment services. They invests both directly and through Private Equity funds. They provide patient capital and advice to growing companies led by entrepreneurs and families and to support them as a long-term partner with other investors.

Sofina

Ahren Innovation Capital is an investment institution that supports transformational companies at the intersection of deep tech and deep science that will penetrate, or create, massive markets.  Ahren is a unique partnership of investment talent and best-in-class commercial scientists whose technologies are today valued in excess of $100BN combined. Ahren believes in taking asymmetric, considered, risk that will deliver superior rewards – capturing a generational opportunity to provide smart capital to deep technology. With a philosophy espousing the importance of relationships and trust, Ahren provides both patient and active capital to exceptional founders and teams, empowering them to succeed.

Ahren Innovation Capital

Mayfair Equity Partners is a private equity firm specializing in growth capital investments and buyouts in the TMT and Consumer sectors. They focus on building strong partnerships with exceptional management teams, supporting them to deliver their plans faster and with less risk. They believe that with fast-growing businesses, it is often impossible to separate strong financial results from the teams responsible for delivering them.

Mayfair Equity Partners

Baillie Gifford is an independently owned investment management firm. It is owned and run by 39 of its senior executives, who operate as a partnership, a structure that has endured for over a century and provides stability for clients and motivation for employees. It enables them to manage the business for the future as well as the present, with an emphasis on genuine long-term thinking rather than lurching haplessly between short-term targets.

Baillie Gifford

Chrysalis Investments backs innovative companies, tech-enabled disruptors that are reshaping sectors, and influencing competition. Chrysalis Investments was founded in 2018 and is headquartered in London, England, United Kingdom.

Chrysalis Investments

Latitude Ventures is the series B+ sister fund to UK-based seed fund LocalGlobe. Latitude invests in emerging break-out companies from LocalGlobe, as well as more widely in the most ambitious founders. Latitude and LocalGlobe have been early investor in iconic companies including Transferwise, Zoopla, Improbable, Robinhood, Citymapper and Secret Escapes, as well as emerging stars including Tessian, TravelPerk, Flow Commerce and Raisin.

Latitude

Ontario Teachers' Pension Plan invests and administers the pensions of active and retired teachers. It invests the pension fund's assets and administers the pensions of 284,000 active and retired teachers in Ontario. A pension plan has existed for Ontario teachers since 1917. Today, the plan's members include 173,000 teachers in elementary and secondary schools in Ontario, 111,000 pensioners, and 72,000 inactive members. The plan has one of Canada's largest payrolls with $4.2 billion in benefits paid to plan members and $2.3 billion received in total contributions from teachers and the provincial government in 2008.

Ontario Teachers' Pension Plan

Fidelity International offers world class investment solutions and retirement expertise to institutions, individuals and their advisers - to help their clients build better futures for themselves and generations to come. As a private company they think generationally and invest for the long term. Helping clients to save for retirement and other long term investing objectives has been at the core of their business for nearly 50 years. They offer their own investment solutions and access to those of others, and deliver services relating to investing: For individual investors and their advisers they provide guidance to help them invest in a simple and cost effective way. For institutions including pension funds, banks and insurance companies they offer tailored investment solutions and full-service asset management outsourcing. And for employers they provide workplace pension administration services on top or independently of investment management. They are responsible for total client assets of : USD $379.2* billion from over 2.4 million clients across Asia Pacific, Europe, the Middle East, and South America.

Fidelity International

At Schroders, asset management is their business and their goals are completely aligned with those of their clients - the creation of long-term value.  Schroders manage £300.0 billion (EUR 386.6 billion/$467.8 billion) on behalf of institutional and retail investors, financial institutions and high net worth clients from around the world, invested in a broad range of asset classes across equities, fixed income, multi-asset and alternatives.  Schroders employ over 3500 talented people worldwide operating from 37 offices in 27 different countries across Europe, the Americas, Asia and the Middle East, close to the markets in which they invest and close to their clients.  Schroders has developed under stable ownership for over 200 years and long-term thinking governs their approach to investing, building client relationships and growing their business.

Schroders

M&G is an investment manager that puts people's investments to work to help them prosper. Their customers include individual savers and investors, members of pension schemes, and life insurance policyholders. They look for opportunities to invest, across a wide range of assets, on behalf of people who care how their money is invested.

M&G Investments

Ruttenberg Gordon Investments (“RGI”) specializes in equity and debt investments in real estate, private equity, growth equity, and alternative hard assets. To date the firm has made 100+ investments amounting to $3Bn+ of total transaction volume.

Ruttenberg Gordon Investments

YTWO is a global international venture capital and assets management fund that invests in early-stage crypto startups.

YTWO

Graphcore

Graphcore is a startup that develops a microprocessor designed for AI and machine learning applications. It has created a new processor, the Intelligence Processing Unit (IPU) for artificial intelligence. The IPU’s unique architecture means developers can run current machine learning models orders of magnitude faster.  The company was founded in 2016 and is headquartered in Bristol, United Kingdom.

Graphcore provides a microprocessor for AI and ML applications (dubbed intelligence processing units [IPU]) that allows developers to build, train, and deploy AI/ML models in the cloud using its Bow Pod hardware systems, which are designed for production deployment in enterprise data centers, private, or public cloud. The Bow IP‍U‍ is also the world’s first AI processor to use Wafer-on-Wafer (WoW) 3D stacking technology, delivering 350 teraFLOPS of AI compute.

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

Edge Computing

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

<div>UK-based Graphcore specializes in developing proprietary processors to accelerate the development of AI applications. The company is best known for its Intelligence Processing Unit (IPU), a specialized chip designed to accelerate the performance of large language models (LLMs).&nbsp;</div>

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

SoftBank Group acquired a stake in British semiconductor company Graphcore

Qualcomm

To leverage Graphcore's AI-based 8-bit floating point to improve training and inference performance for AI models.

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

Graphcore provides a microprocessor for AI and ML applications (dubbed intelligence processing units [IPU]) that allows developers to build, train, and deploy AI/ML models in the cloud using its Bow Pod hardware systems, which are designed for production deployment in enterprise data centers, private, or public cloud. The Bow IP‍U‍ is also the world’s first AI processor to use Wafer-on-Wafer (WoW) 3D stacking technology, delivering 350 teraFLOPS of AI compute.In addition, the company’s Poplar graph framework software is designed with the IPU and integrates with ML frameworks to port existing models and run AI applications. Graphcore also provides a set of open-source code graph libraries to support ML models and an engine that executes models and streams data through models running on IPUs.Graphcore was <a href="https://sp-edge.com/updates/31430">acquired by Softbank</a> in July 2024 to bolster its AI capabilities and tap into the growing demand for AI hardware. Graphcore will operate as a wholly-owned subsidiary of SoftBank, retaining its name, headquarters in Bristol, and additional offices in the UK, Poland, and Taiwan.Key customers and partnershipsThe company serves customers in the finance, biotech, research, and consumer internet sectors. Notable customers include Citadel, University of Oxford, Imperial College London, Carmot Capital, and Stanford Medicine.It partnered with Spell, a company specializing in operationalizing AI, to develop IPU-based infrastructure that allows developers to run AI applications quickly and easily at scale. In addition, it collaborated with Aleph Alpha to enable bulk semantic embedding on the latter’s Luminous-Explore model supporting semantic search.Funding and financialsIn December 2020, the company raised USD 222 million in a Series E funding round led by Ontario Teachers' Pension Plan Board at a valuation of USD 2.77 billion. The funds were used to accelerate future IPU silicon, systems, and software development and drive further global expansion.In 2022, the company reported revenue of GBP 2.7 million (USD 3.3 million), 46% lower than the previous year, and its net losses worsened 18.4% YoY to GBP 198.8 million (USD 245.9 million).

DC Blox offers edge colocation centers, including disaster recovery services, mainly targeting the underserved markets in the southeastern region of the US. Its clients range from enterprises, cloud providers, government entities, and educational institutions, among others. DC Blox connects users to any destination globally through its private network and ecosystem of global communication partners.DC BLOX’s data centers are located in Birmingham, AL; Huntsville, AL; Chattanooga, TN; Greenville, SC, and Myrtle Beach, SC, with others in development near Atlanta and Berkeley County, SC as of March 2024.In 2023, DC Blox embarked on an <a href="https://finance.yahoo.com/news/dc-blox-set-build-hyperscale-133500449.html">expansion strategy</a>, with the development of a hyperscale-ready data center campus in Rockdale County, Georgia, being one of the latest and most significant projects. This new campus was set to feature a sprawling 750,000 sq ft space with a total power capacity of 216MW, supplied by Georgia Power. The project was designed to include a dark fiber ring around the Atlanta metropolitan area, enhancing the connectivity for its tenants and bolstering the company's network infrastructure.Funding and financialsDC Blox raised USD 187 million in funding from Post Road Group and Bain Capital Credit, in March 2021. It aims to use the funds to refinance existing credit facilities, add liquidity to its balance sheet, and expand data center capacity in new and existing locations.

DC Blox

Edgeworx offers the Eclipse ioFog Engine, an application platform that turns hardware into an intelligent edge node. The company allows users to extend their cloud to the edge and run and monitor microservices from any infrastructure. It caters to both developers and operations users to uniformly manage hardware and software.In November 2023, Edgeworx, <a href="https://sp-edge.com/companies/728459">launched Edgeworx Cloud</a>, an enterprise-grade edge computing platform, on the Google Cloud Marketplace. The platform enables enterprises to deploy and manage containerized edge applications from any network without needing to operate their own Kubernetes clusters. It provides secure data management across edge devices, micro-services, hosts, and clients, as well as a hardware-agnostic agent for synchronizing deployments of heterogeneous fleets.Key customers and partnershipsEdgeworx's technology benefits from a range of partners including Docker, Kubernetes, Microsoft, and Red Hat, among others.

Edgeworx

Crosser offers a real-time analytics platform for enterprise Internet of Things (IoT), primarily for industrial IoT (IIoT).The Crosser Platform enables real-time processing of streaming or batch data, to enable industrial IoT, data transformation, analytics, automation, and integration, all to improve the utilization of industrial assets. The platform moves machine data into the cloud while also enabling edge analytics, hybrid integration, and factory floor integration.Key customers and partnershipsCrosser has a robust portfolio of partnerships with leading technology, AI, and ML providers. Some of its notable partners are AWS, Microsoft, SAP, Agora, Oracle, IFS, Siemens, ZEDEDA, and Intel.Funding and financialsIn March 2021, Crosser raised EUR 3 million (~USD 3.6 million) in Venture funding led by NTT DOCOMO Ventures and Montan-Ventures-Saar, with existing investors Industrifonden, Spintop Ventures, 42 Cap, Almi Invest, and Norrlandsfonden also participating.

Crosser

Zededa was founded in 2016 and came out of stealth in 2018 to offer an open edge ecosystem to provide visibility, control, and security when deploying apps remotely on the edge, regardless of the hardware used. The company commercially launched its remote management software in January 2021. The platform allows developers to avoid vendor lock-in and additionally offers support for industries facing more complex edge applications. Moreover, Zededa allows enterprises to mix old and new technology seamlessly, making it for industries like surveillance. The red company has an office in Pune, India, in addition to its headquarters in San Jose, California.In July 2023, the company released a suite of edge application tools including “Edge Access,” which provides access controls and audit tracing for edge deployments. Users can remotely access edge devices from any location at any time without requiring backend configuration or specialized skills.<a href="https://sp-edge.com/updates/24108">In November 2023,</a> the company announced a new service named ZEDEDA Edge Kubernetes Service, offering a fully managed Kubernetes service for distributed edge.Key customers and partnershipsThe company has a substantial customer base, with numerous Fortune 500 enterprises spanning various industries like manufacturing, renewable energy, telecommunications, and healthcare. Prominent clients include Rockwell Automation, Emerson, Agora, and VMware.Zededa collaborates with leading technology firms through its global ZEDEDA marketplace, granting partners direct entry to edge operations teams. This marketplace facilitates swift scalability for customers across thousands of edge devices with one-click deployments, eliminating the need for extensive professional services. Notable partners encompass Microsoft, Suse, Juniper Networks, AWS, Rafay Systems, Aviatrix, Fortinet, and more.Through Zededa's technology partnerships, customers can procure hardware devices and have them shipped directly to their intended destinations. This adaptable approach reduces solution expenses and empowers technology providers to offer optimal value to their clientele. Noteworthy partners in this initiative comprise Dell, Supermicro, HP Enterprise, Equinix, and others.During 2023, Zededa collaborated with Applied Digital in August, a company specializing in advanced digital infrastructure for High-Performance Computing, to use ZEDEDA's management and orchestration software. In May, it also partnered with Avassa, a container management platform tailored for edge environments, to facilitate comprehensive orchestration across the entire stack, ensuring security and visibility from hardware to edge applications.Zededa is also a part of multiple industry consortiums to use edge computing to address emerging issues faced by the energy industry. These collaborations include the OSDU Forum as well as LF Energy and Project Alvarium, which are part of the Linux Foundation (a non-profit group to standardize and support the adoption of Linux). In December 2022, the company extended its partnership with Emerson to integrate its edge application management and orchestration solution into Emerson’s DeltaV automation system. This would in turn enable Emerson’s customers to extend this automation system into the distributed edge.Funding and financialsIn <a href="https://sp-edge.com/updates/26448">February 2024</a>,it raised USD 72 million in a Series C funding round led by Smith Point Capital, with participation from Hillman Company, LDV Partners, Endeavor Catalyst Fund, Juniper Networks, and others. The funds were directed toward expanding sales and marketing endeavors and speeding up R&amp;D.In January 2023, the company announced that it had grown its annual revenue growth by 300%, and nodes under management by 250% over the previous year.

Zededa

SmartCone Technologies Canadian company specializes in developing Internet of Things (IoT) based safety and monitoring solutions.It mainly offers its services for securing dangerous worksites, controlling bicycle lane traffic, managing vehicle fleets, monitoring traffic incident scenes, crowd control, and site security surveillance, among others. Its devices range from wearables and torches, to constellation positioning systems.In July 2022 SmartCone Technologies announced HeatGuardian, a spin-off company dedicated to providing applications and micro-climate weather stations to calculate localized heat exposure to aid individuals and workers in staying safe during periods of hot weather. This initiative was undertaken in partnership with the Human and Environmental Physiology Research Unit at the University of Ottawa.Key customers and partnershipsThe company mainly caters to customers in the mining, logistics, and energy industries. Some notable customers are Nokia, IBM, DHL, and Exelon.In November 2021, the company partnered with the Centre for Integrated Transportation and Mobility (CITM) to build a database architecture and platform that would capture data from all Smart Mobility Networks, both 4G &amp; 5G elements, Intelligent IoT Nodes, C-V2X device, IoT devices, and other sensors installed on the Smart Mobility Networks.In January 2021, AutoGuardian by SmartCone became one of 37 firms in automotive company AISIN Group’s “open innovation initiatives.” This was in response to AutoGuardian’s successful proof of concept relating to vehicle-to-infrastructure (V2I) technology. AutoGuardian uses a SmartConeTM device, equipped with a camera, AI, radar, and onboard edge computing to offer non-line-of-sight alerts by using data such as vehicle speeds, vehicle and pedestrian count, and behavior estimations.Funding and financialsIn April 2019, Smartcone received CAD 187,500 in Debt Financing backed by FedDev Ontario.

SmartCone Technologies

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

Companies that produce hardware and infrastructure such as routers and servers that are not embedded on devices.

Companies that provide software that facilitates analytics, cyber security, and IoT at the edge.

Companies that produce embeddable hardware, including microchips, that allow devices to transmit and process data.

Companies that provide software used in data centers to carry out operations effectively.

Companies that offer datacenter infrastructure to facilitate edge computing, including micro data centers deployable to more strategic locations.

Some players in the embedded hardware segment offer microprocessors for running GenAI applications at the edge of enterprise networks

Most companies operating in this industry operate under a B2B SaaS model

Includes companies that support AI/ML workloads and offer IoT data management

All companies in this industry offer edge computing solutions

Offers solutions for managing IoT device data on the edge of users' networks

Includes micro processor manufacturers that particularly target AI workloads for the edge

Many service providers partner with telecom services to leverage 5G to reduce edge application latency

Graphcore provides a microprocessor for AI and ML applications (dubbed intelligence processing units [IPU]) that allows developers to build, train, and deploy AI/ML models in the cloud using its Bow Pod hardware systems, which are designed for production deployment in enterprise data centers, private, or public cloud. The Bow IP‍U‍ is also the world’s first AI processor to use Wafer-on-Wafer (WoW) 3D stacking technology, delivering 350 teraFLOPS of AI compute.In addition, the company’s Poplar graph framework software is designed with the IPU and integrates with ML frameworks to port existing models and run AI applications. Graphcore also provides a set of open-source code graph libraries to support ML models and an engine that executes models and streams data through models running on IPUs.As of January 2024, Graphcore operated in the UK, US, Germany, Poland, and China. In February 2024, the company announced that it was exploring a <a href="https://sp-edge.com/updates/26706">potential sale</a> to foreign buyers after struggling to capitalize on the AI boom and dealing with heavy losses.Key customers and partnershipsThe company serves customers in the finance, biotech, research, and consumer internet sectors. Notable customers include Citadel, University of Oxford, Imperial College London, Carmot Capital, and Stanford Medicine. It partnered with Spell, a company specializing in operationalizing AI, to develop IPU-based infrastructure that allows developers to run AI applications quickly and easily at scale. In addition, it collaborated with Aleph Alpha to enable bulk semantic embedding on the latter’s Luminous-Explore model supporting semantic search.Funding and financialsIn December 2020, the company raised USD 222 million in a Series E funding round led by Ontario Teachers' Pension Plan Board at a valuation of USD 2.77 billion. The funds were utilized to accelerate future IPU silicon, systems, and software development, and drive further global expansion. In 2022, the company reported revenue of GBP 2.7 million (USD 3.3 million), 46% lower than the previous year, and its net losses worsened by 18.4% YoY to GBP 198.8 million (USD 245.9 million).

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

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.

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

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>
 
 UK-based Graphcore specializes in developing proprietary processors to accelerate the development of AI applications. The company is best known for its Intelligence Processing Unit (IPU), a specialized chip designed to accelerate the performance of large language models (LLMs).&nbsp;
 
 
 Graphcore's key technological offerings include 1) Bow IPU Processors, 2) Poplar Software, and 3) Bow-2000. Through these technologies, Graphcore offers cloud IPUs and data center IPUs to enable developers to construct, train, and implement AI/ML models in private and public cloud environments.
 
 
 Bow-2000 and the Bow IPU processors make up the Graphcore Bow Pod hardware system, which offers different scales of AI compute needs from exploration to large-scale deployment. The system aids in accelerating and optimizing the training and inference processes for extremely large and resource-intensive machine-learning models.
 
 
 The Bow IPU processors use Wafer-on-Wafer (WoW) 3D stacking technology, delivering up to 350 teraFLOPS of AI compute. This technology improves performance by 40% and power efficiency by up to 16% compared to previous generations.&nbsp;&nbsp;
 
 
 Furthermore, the Poplar SDK is a software stack designed specifically for its IPU, facilitating machine intelligence development. It integrates with popular machine-learning frameworks, allowing straightforward model porting and development.&nbsp;
 
 
 Notably, Graphcore claims that its IPUs offer precise, efficient computing capabilities supported by ample locally distributed SRAM. Users can also transition from their current ML setups with minimal code adjustments.
 
 
 Graphcore has encountered difficulties in securing large-scale corporate clients ever since losing Microsoft as a client in 2020. In the last quarter of 2023, Graphcore laid off its workforce in China and announced its decision to cease product sales in the country. This move was prompted by US export restrictions targeting the sale of advanced AI chips, which aimed to limit China's access to high-end semiconductor technology with components from the US. Hence, as of February 2024, Graphcore was reportedly exploring a sale to foreign buyers.&nbsp;
 
 
 Key customers and partnerships
 
 
 Graphcore's products are tailored for enterprises, serving various industries such as finance, healthcare, scientific research, consumer internet, and telecom. Its key partnerships include collaborations with UbiOps (August 2023) to improve ML and AI workloads and with G-Core Labs (June 2022) to provide Graphcore's IPU technology to G-Core Labs to scale AI integration.&nbsp;
 
 
 Funding and financials
 
 
 In December 2020, Graphcore raised USD 222 million in Series E funding in a round led by the Ontario Teachers&rsquo; Pension Plan, bringing total funding to USD 710 million. The company planned to utilize the funding to expand its global presence and accelerate the development of IPU silicon, systems, and software.
 
 
 In FY2022, Graphcore's revenues declined by 46% to USD 2.7 million from USD 5 million in FY2021, attributing the decrease to challenges in the broader macroeconomic landscape and delays in hardware purchases by important strategic clients, including a major buyer based in China. Pre-tax losses also increased by 11% to USD 204.6 million.
 
 
 
</div>

<div>
 
 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&rsquo; 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 capabilities
 
 
 2. 
 NR1-M&trade; 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 architecture
 
 
 The 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 partnerships
 
 
 In 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.
 
 
 Funding and financials
 
 
 In 
 <a href="https://sp-edge.com/updates/27745">
 March 2024
 </a>
 , NeuReality secured USD 20 million in funding led by The European Innovation Council (EIC) Fund. The funds were intended to accelerate the deployment of NeuReality&rsquo;s NR1AI Inference Solution.
 
 
 In December 2022, it secured USD 35 million in a Series A funding round led by Samsung Ventures, with Cardumen Capital, Varana Capital, OurCrowd, XT Hi-Tech, and others as participants. The funding was used to launch its flagship AI inferencing solution.
 
</div>

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.
 
</div>

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.
 
</div>

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.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.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.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). Key customers and partnershipsAs of July 2023, Databricks served a global customer base of approximately 10,000, including notable customers such as Comcast, DuPont, Honeywell, Rolls-Royce, Shell, and Tata Steel.Notable partnerships include collaboration with NVIDIA to incorporate NVIDIA TensorRT-LLM into its inference service and a partnership with Hevo-Data to automate data integration into the lakehouse for mutual customers (October 2022).Databricks also partnered with Karini AI to accelerate GenAI deployment for enterprises (<a href="https://sp-edge.com/updates/33687">September 2024</a>)Databricks also provides an LLM Mesh partner program; it has partnered with firms such as <a href="https://sp-edge.com/updates/24218">Dataiku </a>where an emphasis is placed on comprehensive data access, enabling tight integration of GenAI applications with enterprise data.

Databricks

<div>
 
 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&rsquo;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 budgets
 
 
 2) 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 partnerships
 
 
 The 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%&ndash;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.
 
 
 Funding and financials
 
 
 In January 2022, the firm raised USD 110 million in Series D funding led by SoftBank's Vision Fund 2. The company planned to utilize the funds to finance company expansion.
 
 
 
</div>

Labelbox

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

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 develop and implement strategies, policies, and practices to ensure the responsible, secure, ethical, and safe use of Generative AI technologies within an organization.

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.

<div>
 UK-based AI chip startup Graphcore has been acquired by SoftBank. The startup created a new processor, an "intelligence processing unit" (IPU), specifically designed for AI workloads. 
 The aim of the acquisition by SoftBank is to boost its AI capabilities and gain access to the increasing demand for AI hardware. Graphcore will continue to operate as a wholly-owned subsidiary of SoftBank while maintaining its name, Bristol-based headquarters, and other offices in the UK, Poland, and Taiwan.
 The IPUs of Graphcore are presented as a more efficient substitute to traditional GPUs such as those manufactured by NVIDIA. These IPUs are designed to facilitate large-scale parallel processing and to run intricate machine-learning models with a close link between the model and data.
</div>

Graphcore

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