TSVC, formerly TEEC Angel Fund, is a deep technology-focused venture capital firm. The company prides itself on its empathy for strategic investments and partnerships. Part of what fulfills us about raising great companies is experiencing growing pains together and understanding the ups and downs of everyday startup life.  ‍ The company believes that today's visionaries will make tomorrow's reality. The company believes when companies choose to work with TSCV, they choose a team of veteran entrepreneurs with deep technology backgrounds and investment experience. TSCV believes that globalization will be more important in an interconnected world than ever, and it stands at the forefront of that transformation. TSCV turns dream ventures into reality and thrives as it works toward the common goal of making the world a better place through technology.

TSVC

AMINO Capital is a global venture capital firm based in Palo Alto, with investment theme of data moat and network effect.  With over $1 billion in capital under management, Amino has funded hundreds of companies in seed-to-growth stages across Consumer, PLG SaaS, Frontier Tech, and Web3, including 35 successful exits, around 20 unicorns and over 35 companies which are valued over $100M, such as Chime, Webflow, Rippling, Grail, Weee, Replit, Turing, Dfinity, OmiseGo, Oasis Labs, Instawork, Wetravel, AIFI.io, Wyze, Writesonic, D-Matrix and Beacons.ai.

Amino Capital

Foothill Ventures is a technology-focused venture fund that invests in seed-to-A-round startups in the United States. It is a successor fund to the TEEC Angel Fund. Foothill Ventures was founded in 2017 and is headquartered in Los Altos, California.

Foothill Ventures

Doorga Capital is an investment firm that offers mid-stage investment opportunities to companies entering AsiaPac and LatAm markets.

Doorga Capital

SK Hynix is the global leader in producing semiconductor, such as DRAM and NAND flash and System IC including CMOS Image Sensors. Since pilot production of Korea’s first 16Kb SRAM in 1984, SK Hynix consistently led the industry with smaller, faster and lower power semiconductor.

SK Hynix

Playground Global is an early-stage venture capital firm backing technical and scientific founders with deep engineering expertise, a collaborative environment, and a first-hand understanding of the intricacies of deep tech. Established in 2015 and headquartered in Palo Alto, CA, Playground’s mission is to transform ambitious ideas into impactful businesses that benefit humanity and the planet.  We invest in areas that span across next gen compute automation, energy transition and engineered biology. Playground has been an early – and frequently first investor – in companies that include PsiQuantum, Relativity Space, Ultima Genomics, MosaicML (acq. by Databricks), d-Matrix, and Strand Therapeutics.

Playground Global

M12 - Microsoft’s venture fund, invests in early-stage enterprise software companies with a focus on AI, cloud infrastructure, cybersecurity, developer tools, vertical SaaS, and Web3/Gaming. Since 2016, M12 has invested in over 100 companies, helping startups accelerate growth with unparalleled access to Microsoft.

M12 - Microsoft's Venture Fund

Nautilus Venture Partners is an early-stage venture capital firm focused on helping startups partners with large technology corporations.  The firm was founded in 2015 and is based in Palo Alto, California.

Nautilus Venture Partners

Marvell Semiconductor manufactures and offers integrated circuit solutions using communications mixed-signal processing and digital signal processing technologies. The company provides a broad, innovative portfolio of data infrastructure semiconductor solutions spanning compute, networking, security, and storage. Its leading-edge solutions are the essential building blocks of the infrastructure technology of the future. Marvell’s compute, security, and networking platform solutions offer a unique combination of programmability, scalability, and performance that enable carriers to innovate in this frontier. The company's technology, relating to improving hard disk data read accuracy at high speeds. Marvell was founded in 1995 and is headquartered in Santa Clara, California, USA.

Marvell

Entrada Ventures is a late seed stage fund that builds companies that succeed in Series Seed, A, and beyond. They work personally and intensely with a few companies each year helping them develop from a startup with product-market fit to a strong business ready for its first round of institutional financing. Investing in and working with strong founders who’ve demonstrated some traction, can significantly improve those companies’ ability to understand, manage, and scale their business and raise a tier-one Series A on great terms. Entrada Ventures is based in Santa Barbara, California, and invests across a broad range of innovative technologies.

Entrada Ventures

Temasek Holdings is a lender provider. The company offers debt financing and focuses on transforming economies, increasing middle-income populations, developing comparative advantages, and emerging champions. Financial services, transportation, industrial, consumer, real estate, telecommunications, media, technology, and life sciences are among the industries served by the firm.

Temasek Holdings

Founded in 2000, Industry Ventures is an investment firm that focuses on making venture capital investments. The firm makes investments through secondary opportunities, primary fund investments and direct co-investments in venture-backed companies. The firm has $3.5B in AUM and is headquartered in San Francisco, California.

Industry Ventures

Palo Alto Networks is a cybersecurity company that offers cybersecurity solutions for organizations.

Palo Alto Networks

The primary responsibilities of the group are to source, qualify, and invest in technology related companies. Our major investment areas include semiconductors, materials, mobile service, internet, software, security, enterprise solutions, bio engineering & medical, while potential investment subjects range from early-stage startups to pre-IPO companies. Currently, the group has over $1.8B under management and invests $250M annually.  Samsung Ventures was founded on October 8, 1999, and is based in Seoul, South Korea.

Samsung Ventures

Mirae Asset Global Investments is a global asset manager providing innovative investment solutions to clients worldwide. The company originally established in Asia in 1997 has since expanded its presence in 12 countries from Australia to Hong Kong to the United States. Their goal is to provide their clients with insightful financial strategies for all of their investing and financial needs. Their scope of services includes traditional equity & fixed income products, ETFs, and other alternative strategies like hedge funds. They strive to maintain a diversified platform that will benefit their clients and allow us to offer an insightful and research-driven approach to managing their assets.

Mirae Asset

Ericsson Ventures is a venture capital and private equity firm that invests in innovative companies. It specializes in the fields of finance, financial services, and venture capital It was founded in 1876 and headquartered in Santa Clara, California.

Ericsson Ventures

Lam Capital invests in innovative companies that are addressing some of today’s most challenging, high-impact problems. From the industrialization of life sciences to the advancement of industrial automation, they support important technologies that are disrupting their respective industries. Their expertise in advanced nanoscale systems engineering and technology innovation guide their portfolio companies to create new realities for an ever-changing world.

Lam Capital

Cortes Capital is a investment arm of Love's private equity.

Cortes capital

Archerman Capital™ is a global venture capital and private equity investor that deploy capital across multiple stages in TMT and deep tech. The firm is headquartered in Boston and has offices in Hong Kong and Bangalore. We back world-class entrepreneurs and fund managers.  The firm was founded in 2018 by Harry Archerman, a Harvard PhD graduate in Applied Physics, and managed by a team of investment professionals with global capital market experience who share the same investment philosophies. We believe in first principles and it's also the driving force of our long-term success. By applying first principles thinking in the global economy, we have been relentlessly pursuing the deepest possible understanding of how the economy works and how the world works, which turned into great investments.  ​We are as practical as idealistic, as bold as thoughtful, and as wise as smart. Be with us and change the world.

Archerman Capital

TGC Square is an investment entity created in collaboration with Shinhan Financial Group and LIG Nex1 Co.

TGC Square

Marlan Holding

d-Matrix

D-Matrix is a computing platform that targets artificial intelligence inferencing workloads in the datacenter. Its mission is to build and deploy the world’s first brain-inspired AI compute engine for a broad class of inferencing workloads in the multi-billion dollar cloud and infrastructure edge markets.

d-Matrix specializes in the development of computing platforms tailored for managing GenAI inferencing workloads within data centers. It aims to overcome memory limitations prevalent in AI computing by advancing high-efficiency digital-in memory compute (DIMC) chips.

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

<div>d-Matrix is a chip design company specializing in the creation of chips optimized for GenAI applications. The company's core innovation lies in its ability to develop chips that significantly reduce energy consumption while managing the substantial computational demands of AI processing.</div>

Empowering Tomorrow's Innovations with Generative AI Infrastructure

Generative AI Infrastructure

d-Matrix on LinkedIn: It was a great day at the TSMC Symposium last week! We showcased the…

d-Matrix specializes in the development of computing platforms tailored for managing GenAI inferencing workloads within data centers. It aims to overcome memory limitations prevalent in AI computing by advancing high-efficiency digital-in memory compute (DIMC) chips.Its flagship product Corsair, scheduled for commercial release in 2024, serves as an in-memory compute engine engineered to accommodate the entire AI model within the memory, giving developers the flexibility to deploy AI models. Corsair will have 2048 DIMC cores with around 2,400–9,600 TeraFLOPS of AI compute.Funding and financialsIn September 2023, the company raised USD 110 million in a <a href="https://sp-edge.com/updates/21619">Series B</a> funding round led by Temasek. It aimed to use the fresh funds to commercialize its inference compute platform, Corsair. As of the same month, the company expected revenue of USD 10 million in 2023.

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

<div>
 
 d-Matrix is a chip design company specializing in the creation of chips optimized for GenAI applications. The company's core innovation lies in its ability to develop chips that significantly reduce energy consumption while managing the substantial computational demands of AI processing.
 
 
 d-Matrix&rsquo;s first generation of AI hardware products includes the Nighthawk, Jayhawk-I, and Jayhawk II chiplets. These were succeeded by the Corsair C8 compute card, introduced in September 2023. d-Matrix claims the Corsair C8 compute card outperforms NVIDIA&rsquo;s H100 GPU by a factor of nine in GenAI tasks. This AI accelerator utilizes d-Matrix's proprietary digital-in-memory computer (DIMC) technology, providing ample memory capacity for AI models. d-Matrix claims that a cluster of Corsair C8 cards can deliver 20x better power efficiency, 20x lower latency, and up to 30x lower costs compared to similar NVIDIA solutions.
 
 
 In November 2022, d-Matrix partnered with Microsoft to utilize Microsoft's Project Bonsai, a low-code reinforcement learning (RL) platform, to develop an AI-trained compiler for d-Matrix's DIMC products.
 
 
 Funding and financials
 
 
 In 
 <a href="https://sp-edge.com/updates/21619">
 September 2023
 </a>
 , d-Matrix raised USD 110 million in Series B funding. The company planned to utilize the funds to bring its DIMC chiplet-based inference compute platform, named &quot;Corsair,&quot; to the commercial market, with plans for its release in 2024.
 
</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.

California-based company d-Matrix has raised $110 million in a Series B funding round led by Temasek, bringing its total funds raised to $154 million. The funding will be used to support the commercialization of the company's Digital-In Memory Compute (DIMC) chiplet-based inference compute platform, called "Corsair," which is set to launch in 2024. The platform aims to address the memory bottleneck in AI computing and offer a more cost-effective alternative to GPU-based solutions. d-Matrix also plans to hire more staff to help with the launch and commercialization of its product.

d-Matrix

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