Y Combinator is a startup accelerator that invests in a large number of startups twice a year. It created a new model for funding startups. Twice a year, the company invests a small amount of money ($150k) in a large number of startups. The startup accelerator works intensively with the companies for three months, to get them into the best possible shape and refine their pitch to investors. Each cycle culminates in Demo Day when the startups present their companies to a carefully selected, invite-only audience.

Y Combinator

Liquid2 Ventures provides technology startups with seed-stage investments and is based in San Francisco, California. The firm was founded in 2015 by Joe Montana, Mike Miller, and Michael Ma.

Liquid 2 Ventures

Quiet Capital is a technology investment firm.

Quiet Capital

Soma Capital is a fund built by founders for founders that focuses on software. It has invested seed in startups now worth over $60 billion combined including Cruise, Rappi, Ironclad, Human Interest, Razorpay, Rippling, and Lambda School among others (20 unicorns) It was founded in 2015 and is headquartered in San Francisco, California.

Soma Capital

Picus Capital is an early-stage technology investment firm with a long-term investment philosophy. We work together with daring technology companies to build successful, global companies challenging the status quo and shaping tomorrow. We want to become the closest partner of our portfolio companies by working together on key strategic decisions and operative challenges. As a privately financed venture capital investor with long-term and flexible capital we are looking for exceptional founders who are committed to building category leaders throughout the next 5-10+ years. We invest in early-stage technology ventures with a focus on financial services, HR, energy & climate, healthcare, logistics & mobility, real estate & construction, crypto & web3, deeptech and e-commerce. Picus makes initial investments in pre-seed, seed and series A ventures thereby starting to work together with entrepreneurs in various stages of their companies ranging from ideation phase to initial traction. We follow a very long-term investment approach investing significant amounts throughout the lifecycle of the companies. We have invested in over 50 companies to date. At Picus we work in a culture combining the discipline of a financial investor with the creativity and pragmatism of an entrepreneur. We follow a comprehensive and well-structured investment approach in order to identify the most attractive and ambitious investment opportunities in our target industries and geographies. Within our core investment team every member has a distinctive industry competence and a functional or geographic focus. We are working closely together with our portfolio companies to develop large and successful market leaders. This comprises in particular leveraging our marketing & sales expertise and our global market perspective to provide strategic advice, providing HR management to grant access to top talent, connecting our portfolio companies with our broad B2B & investor network as well as supporting the fundraising process.

Picus Capital

Hack VC is an early-stage venture capital firm that invests in the cryptocurrency, fintech, and marketplaces sectors. The company was founded in 2017 and is headquartered in San Francisco, California, United States.

Hack VC

Ground Up Ventures is an early stage venture capital firm investing in pre-seed and seed stage startups in the United States and Israel.

Ground Up Ventures

Mantis is an early-stage fund that invests in consumer tech, media/entertainment, and fintech companies. Mantis VC is a partnership between The Chainsmokers and experienced Venture Capital professionals and entrepreneurs Milan Koch and Jeffrey Evans that focuses on consumer technologies in the areas of Media and Entertainment, Fintech, and Health and Wellness. Founded in 2019, Mantis VC is based in Los Angeles, California.

MANTIS Venture Capital

Openlayer

Openlayer is helping ML teams build the future of reliable, performant, and ethical machine learning.

Openlayer offers an ML validation and testing platform that allows developers to detect, diagnose, and correct model failures, including LLMs, before they are deployed into production. It also helps verify the integrity of training and validation datasets, bringing ML observability to every stage of development.

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

AI, Machine Learning: Openlayer Finalizes $4.8M Seed Round

Openlayer offers an ML validation and testing platform that allows developers to detect, diagnose, and correct model failures, including LLMs, before they are deployed into production. It also helps verify the integrity of training and validation datasets, bringing ML observability to every stage of development.Companies can upload models and datasets directly from their training notebooks/pipelines to the platform using APIs or host the platform in their own virtual private cloud. This guarantees that models and data remain within the client's infrastructure, ensuring privacy and security. However, the platform only supports models that work with tabular or textual data.Key customers and partnershipsThe platform is used by startups as well as Fortune 500 companies, including eBay, Hurb, Jericho Security, and Virtu Financial.Funding and financialsThe company raised <a href="https://sp-edge.com/updates/18220">USD 4.8 million in seed funding </a>in May 2023 led by Quiet Capital. It had planned to use the funds for recruitment and developing the platform’s capabilities to handle additional workloads.

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

Openlayer

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