3KVC is a New York-based venture fund focused on early-stage investments. The company intends to invest in the software and financial services industries.

Third Kind Venture Capital

Neo is a mentorship community and VC fund that brings together a diverse group of tech veterans to accelerate tomorrow's leaders.

BoxGroup is an early-stage investment fund that invests in technology companies. The fund aims to invest in the consumer, enterprise, fintech, healthcare, life science, and marketplaces industries at the earliest stage, as early as pre-seed round and as late as Series A. It supports companies based on a conviction in the team and seeks entrepreneurs working at the beginning of movements in existing markets or new markets yet to be created and with visions to create the next generation of category-defining businesses. Their typical investment ranges from $200,000 to $500,000. Adam Rothenberg and David Tisch founded BoxGroup in 2009 in New York, New York.

BoxGroup

Ozmen Ventures is a seed and early-stage venture capital fund that supports innovative solutions to traditional problems in the Northern Nevada region and beyond. They are a team of innovators with deep experience across a broad range of sectors. By employing a hands-on strategy with operational expertise, they help propel companies through seed and early stage challenges and opportunities.

Ozmen Ventures

10100 is an investment fund that focuses on real estate, e-commerce, and emerging tech companies in China and India. The fund, created by Uber's co-founder and former CEO, Travis Kalanick, also supports non-profit work with focus on education.

10100 fund

Class 5 Global is a venture fund investing in the next generation of emerging market entrepreneurs.

Class 5 Global

Gigafund makes long-term concentrated investments in founders who are capable of growing with their companies and impact over a period of decades.In order to keep housing affordable, we need millions of new homes. The cover is preparing to mass manufacture high-end, well-designed homes at a fraction of the cost of traditional housing. Last energy is creating clean, low-cost nuclear power to meet the growing energy demands and reverse the effects of climate change.

Gigafund

Backed by several multi-billion dollar family offices, 8090 Partners is a private partnership of industry-leading families and entrepreneurs focused on direct investments and other opportunistic transactions. 8090's flexible mandate and long-term horizon amplify and complement our partners' single family office investments.

8090 Partners

Horsley Bridge Partners is a global private equity fund of funds.  The firm invests primarily with early-stage venture capital teams and smaller growth buyout partnerships.  Based in San Francisco, HBP also has offices in London and Beijing.

Horsley Bridge Partners

Alumni Ventures Group provides high-quality, diversified venture portfolios to individual investors who previously haven't had access to VC. It helps accredited alums from top entrepreneurial schools invest together in the ventures of fellow alums. The firm backs companies with an alumni connection and an institutional lead investor with expertise in the space. AVG also offers focused funds that allow any accredited investor access to a venture portfolio, diversified by type, sector, stage, and geography. Beth Obermiller, Michael Madden, and Mike Collins co-founded the firm in Manchester, New Hampshire in 2013.

Alumni Ventures

Founded in 2019, Parkway operates at the intersection of vision and execution with a focus on cutting-edge technologies and business models. The firm is largely focused on the trend of digital transformation of businesses, products and systems with software and hardware technologies in data science, artificial intelligence (AI), simulation, automation, spatial computing, internet of things (IOT), augmented reality (AR), generative design and optimization technologies.  Parkway primarily targets investments in the Climate Tech, Construction Tech (Contech), Property Tech (Proptech), Generative Design, Business Intelligence, Health Tech, Metaverse and Direct-to-Consumer sectors. Companies in which Parkway investments typically have a software as a service, unique technology, valuable patents and intellectual property that make them highly competitive in the market, valuable to potential strategic acquirers and/or display the potential for high growth annual recurring revenue.

Parkway Venture Capital

MVP Ventures was founded in 2020 with the realization that a rethought model for venture investing could unlock significantly greater returns. With the help of its proprietary data-driven sourcing engine and value-add focus, the firm invests as the 2nd-largest check into early-stage deep tech teams building differentiated and defensible technology across software and hardware — with no ownership restrictions.

MVP Ventures

Strawberry Creek Ventures is a UC Berkeley alumni venture fund that invests in companies led by UC Berkeley alumni. The company is for-profit and not affiliated with UC Berkeley.

Strawberry Creek Ventures

Luminous Computing

Luminous Computing develops photonics chips to handle workloads required by the artificial intelligence industry. The company's product is an AI training and inference chip that fits the computing power of supercomputers into a single chip, allowing businesses to avoid major bottlenecks that traditional processors face. The company was founded in 2018 and is headquartered in Mountain View, California.

Luminous Computing develops photonics chips for AI workloads that use light channels to send signals—instead of electricity—that conventional processors use, which in turn leads to higher performance due to the former being better in terms of energy, speed, and compute density. This allows the company to feed data into processing chips across a larger memory space and scale AI algorithms across more processors, enabling users to train models that are 100–1,000x larger at high speeds with a simple programming model. Key customers and partnerships

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

Semiconductor startup, Enosemi, launches with a committed commercial license to key silicon photonics design IP created by Luminous Computing

Luminous Computing develops photonics chips for AI workloads that use light channels to send signals—instead of electricity—that conventional processors use, which in turn leads to higher performance due to the former being better in terms of energy, speed, and compute density. This allows the company to feed data into processing chips across a larger memory space and scale AI algorithms across more processors, enabling users to train models that are 100–1,000x larger at high speeds with a simple programming model. Key customers and partnershipsThe company partnered with Aware, an AI data platform for contextual intelligence, to power Aware's data platform to support GenAI adoption across enterprises.Funding and financialsIn March 2022, the company raised USD 105 million in a Series A funding round. The funds were utilized to build its custom chips and software, double its engineering headcount, and accelerate its commercial-scale production.

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

Luminous Computing

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