OurCrowd is a venture investing platform that enables institutions and individuals to invest and engage in emerging companies. OurCrowd was started in 2013, driven by the idea that the business of building startups grows bigger and better when the global 'crowd' gains access to VC-level investment opportunities.

OurCrowd

Maniv Mobility is helping to expedite the new age of advanced transportation technology, including safety, business model innovation, and vehicle autonomy (''driverless cars''). They believe that in the 21st century, the public should not have to endure the daily tragedy of automotive fatalities, the frustration and productivity loss of traffic congestion, and the polluted air and public space that slow-moving and parked cars bring to their urban centers. In the last 20 years technology has made information and communication ubiquitous and close to free. In the next 20 it will do the same for mobility. They work with start-up companies, entrepreneurs, financiers and others to overcome the hurdles that will herald a grand new age.

Maniv Mobility

Glory Ventures is a cross-border venture capital fund established by a new generation of investors with a global perspective. Already achieving excellent performance, the investment team has plentiful experience in both China and Israel's high-tech and venture capital industries.  The unique advantages by which Glory Ventures distinguishes itself from other domestic venture capitalists lie in the fact that it is a research-driven VC that realizes the value of an entire industrial value chain. They integrate industrial resources from the private equity markets and public-listed companies to build strategic synergy. They deliberate exits by both M&A and IPO, taking into consideration both opportunities. Thus, they strive to build an ecosystem across various industries through investment in specific value-chains and providing value-added services that lead to synergetic exits.  With a  clear multi-industrial positioning backed by their professional and outstanding investment team, Glory Ventures has been highly recognized by Chinese first-class investors and has won the strategic investments of famous organization such as Banyan Capital, major shareholders from various A-share listed companies, founding team of Dianping.com, and many others, making it a top-tier investment ecosystem combining early-stage venture capital investment and the integration of high-end entrepreneurs and industrial resources.  Currently, Glory Ventures invests actively in Israel and China, but their global vision encompasses much more. In Israel, Glory Ventures invests in customer-proved, disruptive innovative companies which are synergistic with China’s enormous consumer market, including companies in the field of intelligent hardware, IoT, AI, computer vision. In China, Glory Ventures invests in subsectors such as B2B enterprise service, consumption upgrade, and IoT. Their portfolio includes 20+ stellar companies in the fields of AI, IoT, Fintech and consumption upgrade, over half of which have won the follow-up investment from the industrial capital and famous funds like HTC, Quanta Computer, Alibaba, Shanda Networks, Wind, Crystal Optoelectronics, Join-In Group, and Fortune Capital.

Glory Ventures

Next Gear Ventures venture capital firm specializing in early stage. The firm typically invests in the Israel. Next Gear Ventures venture is based in Israel.

Next Gear Ventures

NEC Corporation is a leader in the integration of IT and network technologies that benefit businesses and people around the world.

NEC Corporation

ABB Ventures, the business-led venture capital investment framework of ABB, looks for breakthrough technology companies aligned with ABB’s goal to write the future of industrial electrification and automation. Since its formation in 2009, ABB Ventures, formerly known as ABB Technology Ventures (ATV), has deployed around $500 million into startups spanning a range of sectors including robotics, industrial IoT, AI/machine learning, energy transition, cybersecurity, electric mobility, smart buildings, and distributed energy. For more information, visit www.abb.com/ventures Feel free to reach out to our business-led venture capital teams: • ABB Robotics & Automation Ventures (ABB RA Ventures) • ABB Electrification Ventures (ABB EL Ventures) • ABB Motion Ventures (ABB MO Ventures)

ABB Ventures

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

Salus Ventures is a venture capital firm.

Salus Ventures

Poalim Capital Markets Ltd. is a boutique investment banking firm that offers financial advisory services. The firm provides mergers and acquisitions, corporate divestiture, corporate recapitalizations and restructurings, leveraged buyouts, valuations and fairness opinions, private placements, and initial public offerings advisory services. Additionally, it offers feasibility study, private placement memorandum and investor presentation preparation, client road-show organization, and term sheet negotiation and closing services. The firm caters to corporations, institutional investors, and high net-worth individuals. It has strategic alliances with William Blair & Company, YES BANK, and Poalim Asia Direct. The firm was founded in 1990 and is based in Tel Aviv, Israel. Poalim Capital Markets Ltd. operates as a subsidiary of Bank Hapoalim B.M.

Poalim Equity

One of Israel's most prominent holing groups.

Shlomo Group

Talcar Corp. operates as an importer of Kia vehicles.

Talcar Corp.

Comasco specializes in marketing and selling machines for building, construction, quarries, agriculture, and industrial applications.

Comasco

Automotive Equipment (AEV) is one of the early pioneers of the Israeli motor vehicle market. From its establishment in 1949 to this day, AEV has been recognized for its quality, unrelenting professionalism, and fairness. Throughout its years of operation, AEV’s vision and leadership have provided strong support for top international brands to achieve success in Israel.

Automotive Equipment (AEV)

Changer Club is Europe’s premier angel investors community. We unite 150 high-profile businessmen from Scandinavia, the Baltics, Italy, UK, Russia, and South-East Asia curious about future technologies. Together we learn from the world's best venture capitalists, invest with small checks in pre-IPO deals and load ourselves with wisdom from peer members. Offline in Riga, Zurich, Barcelona, Tel Aviv, and other world capitals or online globally but always with great wines, cigars, and jazz. We turned the venture into an adventure.

Changer Club

Carasso Motors is an automotive facility that retails and repairs different types of vehicles of several brands. The company offers wholesale distribution of new and used trucks, trailers, passenger vehicles, and other motor vehicles of brands like Nissan, Renault, and Infiniti. Additionally, the company also offers repair services for vehicles.

Carasso Motors

Astarc Ventures is an early stage investment fund which aims to partner with new age startups to help them grow into market leaders of tomorrow.

Astarc Ventures

Delek Motors operates from an innovative complex where all the company's divisions are concentrated the management headquarters, the service center, The technical training center, the central garage, the distribution center for spare parts as well as the car supply center.

Delek Motors

Vasuki is a holding company that specializes in electrical engineering procurement and energy conservation services.

Vasuki

DCLBA

Hailo

Hailo, an AI-focused chipmaker, is developing specialized AI processors that enable data center-class performance on edge devices. Hailo’s processors are the product of a rethinking of traditional computer architecture, enabling smart devices to perform sophisticated deep learning tasks such as object detection, image enhancement, and content creation in real-time, with minimal power consumption, size, and cost. The processors are designed to fit into a multitude of smart machines and devices, impacting a variety of sectors including security, automotive, personal computers, industrial automation, and others.

Hailo is an Israeli technology company specializing in the development of high-performance AI processors for edge devices.

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

Edge Computing

Hailo builds AI processors for edge devices to compute and interpret data in real time. The processor enables smart devices to perform deep learning tasks such as object detection and segmentation in real time. The company’s Hailo-8 processors are AI accelerators that use neural network architectures to enable edge devices to run deep learning applications. In addition, its Hailo-15 is a series of AI vision processors for smart cameras. The Hailo-15 System-on-a-Chip (SoC) combines Hailo’s patented and field-proven AI inferencing capabilities with advanced computer vision engines, generating premium image quality and advanced video analytics.

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

Hailo is an Israel-based AI chipmaker founded in 2017 that develops edge AI processors and software solutions. The company's flagship product is the Hailo-8 AI accelerator, which allows edge devices to run deep learning applications efficiently. Hailo's processor architecture is designed to take advantage of the core properties of neural networks, enabling high performance AI inference on edge devices while consuming low power. The company offers its AI accelerators in various form factors including M.2 and mini PCIe modules.

StartupHub.ai

Israeli AI Chipmaker Passes $340M Funding With Series C Round

Leading AI Chipmaker Hailo Partners with AITg of WPG Holdings to Support Growing Customer Base in Asia Pacific

The World’s Top Performing Edge AI Processor For Edge Devices

Israel's Hailo secures $120m funding for AI

NVIDIA rival from Israel: Hailo raises $120M for faster and efficient GenAI

Chipmaker Hailo Raises $120 Million Riding on AI Boom

The Leading AI Chip Company For Edge Devices

Leading Edge AI Chipmaker Hailo Introduces Hailo

A new generation of building blocks for emerging tech

Next-gen Semiconductors

Hailo is an Israeli AI chipmaker that designs specialized processors to run AI workloads on Edge devices. The company's flagship product, the Hailo-8 AI accelerator, delivers up to 26 tera-operations-per-second (TOPS) performance while consuming minimal power, making it suitable for compact, offline, and battery-powered devices such as cars, smart cameras, and robotics. Hailo's chips execute AI tasks with lower memory usage and power consumption than typical processors, enabling Edge devices to run deep learning applications more efficiently and effectively.&nbsp;

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

AAEON to Host Hailo for Webinar on Accelerating AI Deployment on Intel Platforms

Cohere

Cohere partners with Amazon to incorporate Command R+ and Command R to Amazon Bedrock

Foundation Models

Foundation models that can handle a range of natural language processing (NLP) use cases. Typical tasks include generating summaries, translating, answering questions, and classifying text. These models typically use text inputs and generate text outputs.

Schneider Electric

To integrate Hailo’s advanced processors within Schneider Electric solutions.

Hailo is an Israeli technology company specializing in the development of high-performance AI processors for edge devices.Hailo builds AI processors for edge devices to compute and interpret data in real time. The processor enables smart devices to perform deep learning tasks such as object detection and segmentation in real time. The company’s Hailo-8 processors are AI accelerators that use neural network architectures to enable edge devices to run deep learning applications. In addition, its Hailo-15 is a series of AI vision processors for smart cameras. The Hailo-15 System-on-a-Chip (SoC) combines Hailo’s patented and field-proven AI inferencing capabilities with advanced computer vision engines, generating premium image quality and advanced video analytics.Hailo also offers a dataflow compiler that provides offline compilation and optimization of user’s models for edge devices, while its runtime software provides real-time inferencing in production platforms with edge devices. The company also provides pre-trained AI applications and task templates that include a production-grade pipeline and pre-trained models in TensorFlow and ONNX.Key customers and partnershipsThe company serves customers in the automotive, intelligent transportation systems, industry 4.0, smart city, smart retail, and smart home sectors. Hailo’s customers include Intelligent Ultrasound, IDEN Inc, Wisesight Technologies, Blue White Robotics, and Q Technnology.Hailo’s technology partners are NXP, Renesas, and Socionext. The company has hardware partnerships with leading manufacturers, including Foxconn, Supermicro, Nexcom, Dell, and Lanner.Funding and financialsIn its latest funding round in <a href="https://sp-edge.com/updates/28101">April 2024</a>, Hailo raised USD 120 million in Series C funding at a valuation of USD 1.2 billion. This round was backed by new and existing investors, including the Zisapel family, Gil Agmon, and Delek Motors, among others. The funds were earmarked for accelerating the growth of the company and the execution of its roadmap.

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

Hailo builds AI processors for edge devices to compute and interpret data in real time. The processor enables smart devices to perform deep learning tasks such as object detection and segmentation in real time. The company’s Hailo-8 processors are AI accelerators that use neural network architectures to enable edge devices to run deep learning applications. In addition, its Hailo-15 is a series of AI vision processors for smart cameras. The Hailo-15 System-on-a-Chip (SoC) combines Hailo’s patented and field-proven AI inferencing capabilities with advanced computer vision engines, generating premium image quality and advanced video analytics.Hailo also offers a dataflow compiler that provides offline compilation and optimization of user’s models for edge devices, while its runtime software provides real-time inferencing in production platforms with edge devices. The company also provides pre-trained AI applications and task templates that include a production-grade pipeline and pre-trained models in TensorFlow and ONNX.As of January 2024, Hailo operated in the US, Israel, Germany, Japan, Taiwan, China, and South Korea.Key customers and partnershipsThe company serves customers in the automotive, intelligent transportation systems, industry 4.0, smart city, smart retail, and smart home sectors. As of October 2021, Hailo had more than 100 customers, including notable companies such as Foxconn, Socionext, NEC, Macnica, and ABB Technology. In June 2021, it partnered with Vecow to develop the latter’s next-gen AI solution, Vecow’s ABP-3000 AI computing system. It also partnered with Advantech in May 2023 to develop a ready-to-use reference platform that enables scalable high-performance AI capabilities at the edge.Funding and financialsIts latest funding round was in April 2024, when Hailo raised USD 120 million in <a href="https://sp-edge.com/updates/28101">Series C</a> funding at a valuation of USD 1.2 billion. This round was backed by new and existing investors, including the Zisapel family, Gil Agmon, and Delek Motors, among others. The funds were earmarked for accelerating the growth of the company and the execution of its roadmap.

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 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

Hailo is an Israel-based AI chipmaker founded in 2017 that develops edge AI processors and software solutions. The company's flagship product is the Hailo-8 AI accelerator, which allows edge devices to run deep learning applications efficiently. Hailo's processor architecture is designed to take advantage of the core properties of neural networks, enabling high performance AI inference on edge devices while consuming low power. The company offers its AI accelerators in various form factors including M.2 and mini PCIe modules.
In March 2023, Hailo introduced the Hailo-15 family of AI vision processors, designed to bring advanced AI capabilities directly to smart cameras. The Hailo-15 combines AI inferencing with computer vision engines to enable unprecedented video processing and analytics at the edge. In April 2024, Hailo launched the Hailo-10, a high-performance generative AI accelerator aimed at bringing GenAI capabilities to edge devices like personal computers and automotive systems. The Hailo-10 allows users to run generative AI applications locally without relying on cloud services.
Hailo's products target applications across industries including automotive, smart cities, smart retail, Industry 4.0, and security. The company's AI processors aim to bridge the gap between existing and future AI technologies by providing the necessary compute capacity for advanced edge AI applications. Hailo's novel dataflow architecture and software toolchain are designed to enable efficient deployment of neural networks on its specialized hardware.

SiFive is a fabless semiconductor company founded in 2015 that specializes in designing processor cores and chips based on the open-source RISC-V instruction set architecture. The company provides commercial RISC-V-based platforms and custom silicon solutions, offering a range of processor core IP, development boards, and SoCs. SiFive's technology enables system designers to quickly and easily build custom chips for various applications including data centers, networking, storage, and edge computing. The company's cores offer 30-40% better power efficiency and a smaller size compared to alternatives, allowing for more cores on a chip. SiFive's online platform simplifies the process of designing and testing chips and core IP, even for those new to silicon development. In September 2020, SiFive appointed Patrick Little as President and CEO to accelerate adoption of its technology for next-generation computing solutions. As of March 2022, SiFive had a post-money valuation between USD 1-10 billion.
Key customers and partnerships
SiFive has collaborated with several high-profile organizations. In 2022, NASA announced that SiFive's RISC-V-compatible CPU cores would power its new High-Performance Spaceflight Computer, expected to deliver a 100-fold improvement in performance over its predecessor. SiFive has also worked with the Barcelona Supercomputing Center to create an open-source API for popular compilers, enabling applications to use the RISC-V Vector Extension for high-performance computing, artificial intelligence, and computer vision. The company has partnerships with major technology firms, as evidenced by its involvement in initiatives supporting RISC-V International.

SiFive

Alif Semiconductor is a supplier of 32-bit AI/ML-enabled microcontrollers (MCUs) and fusion processors. Founded in 2019, the company's flagship product line is the Ensemble family, which ranges from single-core microcontrollers to multi-core fusion processors. The Ensemble devices combine Arm Cortex-M55 MCU cores, Cortex-A32 microprocessor cores, and Ethos-U55 microNPUs for AI/ML acceleration. Alif's processors are designed to be energy efficient, utilizing the company's Autonomous Intelligent Power Management (aiPM) technology that powers on only what's needed, when needed. This allows for extended battery life in applications like wearables, security cameras, and IoT devices.
The Ensemble family includes the E1, E3, and E7 series, with the E1C serving as an entry-level option. These processors offer high AI performance combined with ultra-low power consumption. For instance, the Balletto family, announced in April 2024, is claimed to be the world's first Bluetooth Low Energy wireless microcontroller featuring hardware optimization for AI/ML workloads. It can perform up to 46 GOPS (Giga Operations Per Second) and is designed for applications such as true wireless stereo earbuds and lifestyle wristbands.
Alif's processors incorporate advanced security features, including a Secure Enclave with its own resources and a configurable secure firewall structure. The company's security architecture aims to counter and resist malicious attacks in deployed edge products. Alif Semiconductor's products are designed to enable seamless integration of technology for everyday life by focusing on low-power techniques, functional integration, accelerated AI and ML edge processing, high security, wireless connectivity, and operating system diversity.
Key customers and partnerships
Alif Semiconductor has collaborated with several companies in the semiconductor and technology sectors. In November 2022, Alif partnered with onsemi to create a camera reference design for low-power applications using machine vision. This collaboration aimed to address challenges in implementing imaging products with long battery life and localized AI/ML capabilities.
In January 2024, Alif Semiconductor and Telit Cinterion unveiled the Vision AppKit, described as the world's smartest and most efficient connected camera reference design. This kit combines Telit Cinterion's wireless technology with Alif's Ensemble E3 series MCU for on-device AI use cases like face and object detection and image classification.
Alif has also worked with Plumerai, a creator of edge AI solutions, to deploy what they claim is the world's most precise person detection on the Ensemble platform. This collaboration demonstrated the potential for accurate computer vision AI in a small form factor that can run on battery power for extended periods.

Alif Semiconductor

Atmosic Technologies is a fabless semiconductor company specializing in ultra-low-power wireless platforms for the internet of Things (IoT). The company's core focus is on developing energy-efficient solutions that reduce or eliminate battery dependency in connected devices. Atmosic's product portfolio includes system-on-chips (SoCs) based on Bluetooth Low Energy (BLE) technology, enhanced with proprietary features for improved power efficiency and energy harvesting capabilities.
Atmosic's flagship products include the ATM3 and ATM33 series of Bluetooth 5.3 SoCs, which incorporate the company's Lowest Power Radio and On-demand Wake-Up technologies. These innovations enable Atmosic's chips to achieve significantly lower power consumption compared to standard Bluetooth solutions. The company's latest offering, the ATM34/e series announced in January 2024, expands its capabilities to support Matter-over-Thread protocol, providing additional flexibility for smart home applications.
The company's technology has found applications in various IoT devices, including asset trackers, beacons, remote controls, keyboards, mice, and wearables. One notable implementation is in Samsung's Galaxy SmartTag2, which utilizes Atmosic's ATM3325 SoC to achieve a 43% reduction in power consumption compared to its predecessor.
Atmosic's business model revolves around selling its SoCs to device manufacturers and providing development platforms to support integration into various IoT products. The company aims to address the growing demand for sustainable and low-maintenance IoT solutions across multiple sectors, including consumer, enterprise, healthcare, and industrial applications.
Key customers and partnerships
Atmosic has established partnerships with several companies in the IoT ecosystem. Samsung Electronics incorporated Atmosic's ATM3325 SoC into its Galaxy SmartTag2, showcasing the technology's ability to extend battery life in consumer products. In March 2023, Atmosic collaborated with Dracula Technologies to create a battery-free remote control reference design, combining Atmosic's ATM33 SoC with Dracula's organic photovoltaic technology.
The company has also partnered with Exeger, a Swedish manufacturer of solar cell technology, to develop energy harvesting solutions for IoT devices. In July 2024, Atmosic announced a partnership with blukii, a brand of hard&softWERK, to power a new Bluetooth beacon with extended battery life.
Atmosic's customer base has expanded significantly, with the company reporting a 500% increase in its customer base and a tenfold increase in shipments in January 2022. The company has also formed a partnership with Universal Electronics Inc., a global leader in universal control solutions for home entertainment and smart home devices.
In the distribution space, Atmosic partnered with Mouser Electronics in December 2023 to make its products more accessible to IoT developers worldwide. This partnership aims to accelerate the growth of sustainable IoT devices by providing immediate access to Atmosic's low-power wireless portfolio.

Atmosic

TenaFe, Inc. is a solid-state drive (SSD) controller startup that develops innovative storage technologies for data centers, edge computing, and client OEM applications. The company specializes in creating PCIe NVMe SSD controllers with advanced features. TenaFe's product lineup includes PCIe Gen 4 NVMe SSD controllers designed with DRAMless architecture, such as the TC2200, which achieves transfer rates of 4.8GB/s, and the TC2201, which can reach speeds up to 7.4GB/s. For data center applications, TenaFe offers the TC2310, a PCIe Gen 5 NVMe controller that prioritizes performance, power efficiency, and low latency, with a maximum active power average of less than 20W. This controller is compatible with various form factors including E1.S, E1.L, U.2, and E3.S. TenaFe also produces the TB2200, a PCIe Gen 4 NVMe BGA SSD designed for emerging applications such as autonomous vehicles, AR/VR products, and gaming phones. This small form factor SSD is soldered down to provide vibration resistance and shock-proof capabilities. In addition to hardware, TenaFe has developed TenaFe Insight, an SSD development platform that streamlines the process from architecture design to mass production, allowing for on-site or cloud-based development and collaboration with partners. The company's technology incorporates a patented LDPC engine to improve Quality of Service, leading-edge compression algorithms to enhance endurance and capacity, and designs optimized for minimal power consumption.

TenaFe

Menlo Micro is a company that specializes in developing and manufacturing innovative microelectromechanical systems (MEMS) switches, known as the Ideal Switch technology. The company's core product offering is a range of high-performance MEMS switches that combine the benefits of mechanical relays and solid-state switches. Menlo Micro's Ideal Switch technology enables switches that are significantly smaller, faster, and more reliable than traditional electromechanical relays while providing lower power consumption and better efficiency than solid-state alternatives.
The company's product portfolio includes various switch configurations such as single-pole/single-throw (SPST), single-pole/four-throw (SP4T), and double-pole/double-throw (DPDT) switches. These switches are designed for applications across multiple industries, including industrial automation, smart building controls, energy management systems, telecommunications, aerospace and defense, medical devices, and consumer electronics.
One of Menlo Micro's flagship products is the MM9200, introduced in December 2022. This device is capable of handling 10A of current in a miniature 5mm x 5mm surface-mount package, with an ultra-low contact resistance of 0.010 ohms. The MM9200 offers fast switching speeds of 10 microseconds, a voltage standoff of ±300V, and a mechanical endurance of over 1 billion switching cycles. In March 2023, the company released the MM1200, a six-channel SPST switch designed for power and signal switching applications in both DC and AC circuits.
To support its Ideal Switch products, Menlo Micro also develops complementary technologies such as the MM101, an 8-channel low-voltage to high-voltage driver with an integrated charge pump, released in January 2023. This driver solution aims to simplify the integration of Menlo Micro's switches into various applications.
In July 2023, Menlo Micro announced plans to establish its first domestic production facility, called the Ideal Fab, in Tompkins County, New York. The company committed to investing USD 50 million in this facility over three years, with the potential for additional investments up to USD 150 million as part of a multi-year growth strategy.

Menlo Micro

Companies that develop low-power, high-performance semiconductors for sensors, wearables, and other connected devices.

Companies that develop semiconductors that can support high-bandwidth and low-latency requirements of 5G networks and other wireless communication technologies.

Companies that develop semiconductors that focus on automotive applications such as advanced driver assistance systems (ADAS) and autonomous driving as well as in-car entertainment and communication systems.

Companies that develop semiconductors to improve the performance of data center infrastructure.

Companies developing semiconductors for other emerging tech applications, including quantum and edge computing.

Companies in the IoT applications segment develop semiconductors for sensors, wearables, and other connected devices

Develop semiconductor materials and technologies to advance technologies such as IoT, 5G, and AutoTech

RF applications segment companies develop semiconductors for 5G networks and other wireless communication technologies

Hailo is an Israeli AI chipmaker that designs specialized processors to run AI workloads on Edge devices. The company's flagship product, the Hailo-8 AI accelerator, delivers up to 26 tera-operations-per-second (TOPS) performance while consuming minimal power, making it suitable for compact, offline, and battery-powered devices such as cars, smart cameras, and robotics. Hailo's chips execute AI tasks with lower memory usage and power consumption than typical processors, enabling Edge devices to run deep learning applications more efficiently and effectively.&nbsp;In March 2023, Hailo introduced the Hailo-15 family of high-performance vision processors designed for integration directly into intelligent cameras. The Hailo-15 processors, ranging from seven to 20 TOPS, combine Hailo's AI inferencing capabilities with advanced computer vision engines to enable unprecedented video processing and analytics at the edge.In April 2024, Hailo launched the Hailo-10, a new AI accelerator specifically designed to bring GenAI capabilities to Edge devices. The Hailo-10 allows users to run applications like chatbots, copilots, and content generation tools locally on their devices without relying on cloud-based services.&nbsp;The company claims that this set of high-performance vision processors provide best-in-class power efficiency by consuming less than 3.5 W. It is also claimed to deliver high cost-efficiency compared to existing solutions. Tests have shown it can deliver 10 TOPS in Llama2-7B and five-second image generation in Stable Diffusion 2.1.Hailo's technology has found applications across various industries, including automotive, security, retail, industrial automation, medical devices, and defense. The company's processors are used for tasks such as object detection, semantic segmentation, AI-powered image and video enhancement, and running LLMs on Edge devices.&nbsp;Key customers and partnershipsAs of April 2024, Hailo claimed to have more than 300 customers worldwide and&nbsp; serves customers in the automotive, intelligent transportation systems, smart retail, and smart home sectors.

<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 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.

Facial recognition delivers incredible convenience to consumers, as well as serious risks.

Facial Recognition

PROMINENT_CATEGORY

<div>
 
 Paravision, a facial recognition software provider, is collaborating with Hailo, an Edge AI processors provider. The partnership is intended to integrate Paravision's facial recognition into Hailo's AI processors. This collaboration will aim to enhance Paravision's facial recognition technology for Edge, thereby benefiting Hailo OEMs with improved biometric performance. It also claims to offer advantages such as increased speed, optimized power, and better privacy protection in system architectures.
 
</div>

Hailo

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