Greylock Partners invests in entrepreneurs that focus on consumer and enterprise software companies. The firm invests in companies that define new markets, including Airbnb, AppDynamics, Apptio, Arista Networks (NYSE: ANET), Cloudera, Docker, Dropbox, Facebook (Nasdaq: FB), LinkedIn (NYSE: LNKD), Medium, Nextdoor, Palo Alto Networks (NYSE: PANW), Pandora (NYSE: P), Pure Storage, and Workday (NYSE: WDAY). It was founded in 1965 and headquartered in Menlo Park, California.

Greylock

South Park Commons is a community designed to transform the chaos of possibility into the clarity of conviction for the most talented technologists, builders, and domain experts figuring out what's next. South Park Commons fosters an environment that encourages people to take risks and launch their next venture.

South Park Commons

Caffeinated Capital is a technology venture capital firm that partners with founders at the inception stage and invest throughout the life of the company.

Caffeinated Capital

AI Fund is a venture capital firm that strives to move humanity forward by accelerating the adoption of AI. We work intensively with entrepreneurs during their startups’ most critical and risky phase, from 0 to 1.  At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential — this is a reality we well understand. This is the period when decisions on product strategy, market fit, and team are most critical and a time when your company is most under-resourced. Even if you have a sense for the changes you need to make to be attractive to investors, moving fast and fixing parts of your business when you have limited resources is a challenge. We believe we help entrepreneurs best by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making these choices well can often be the difference between success and failure. AI Fund is here to improve these dynamics, at a time when the help matters the most, leading to a significant upgrade in your company’s opportunity, strategy, and fundability.

AI Fund

K5 Global Advisor LLC (“K5”) is a venture capital firm and incubation studio that supports founders across the business lifecycle. The firm was founded in 2018 by Michael Kives and Bryan Baum and has deployed capital of around $1B as of March 31, 2024. K5 invests across multiple stages, from seed through growth stage companies, with a focus on Enterprise SaaS, Vertical SaaS, and FinTech. In 2023, Keenan Rice and Daniel Marcotte, investors from Tokyo Black Capital Advisors, LLC, and both on the founding team of Looker (acquired by Google in 2020 for $2.6B), joined with K5’s early-stage SaaS investing team. K5 seeks to help innovative companies expand their networks and best position them to achieve growth targets.

K5 Global

Spark Capital is an early-stage venture capital firm that invests in exceptional products and the creative individuals behind them. Known for embracing risk and a unique approach, Spark Capital has backed companies like Twitter, Discord, Anthropic, Cruise, Niantic, Oculus, Warby Parker, and Tumblr. Recognizing that there are no set playbooks or formulas for success, the firm supports founders in achieving success on their own terms. Spark Capital invests across all sectors and stages, operating out of San Francisco, Boston, and New York City.

Spark Capital

IVP turns breakout companies into enduring market leaders. With a 40-year record of driving growth and 130+ IPOs, we’ve partnered with over 400 companies including Amplitude, Brex, Coinbase, Crowdstrike, Datadog, Discord, Klarna, Slack, Snap, and Twitter. As trusted allies, IVP helps founders and CEOs meet the challenge of leading a rapidly growing company. Its proven system bolsters functions including those that are sometimes overlooked and partners serve as trusted allies to companies seeking to realize their full potential.

basecase capital is an early-stage venture capital firm for builders, by builders

basecase capital

Baseten

Baseten is a serverless backend that offers a fast way to build machine-learning-powered applications with auto-scaling, GPU access, CRON jobs, and serverless functions. Data science and machine learning teams can use Baseten to build applications without prior knowledge of backend, frontend, or MLOps, allowing for faster, smarter decision-making at their organizations. Baseten is on a mission to make machine learning available to all organizations.

Baseten Labs provides a platform that enables companies to deploy and serve ML models efficiently and scalably in third-party cloud environments or on their own. The platform automates and manages tasks in production environments, such as version management and observability. Companies can deploy their own ML models with Truss, its open-source model packaging framework, or by selecting open-source ML models from its library.

The toolkit to build machine learning applications at scale

Machine Learning Infrastructure

Baseten Launches Chains: The Framework Built for Compound AI Systems

Baseten Labs provides a platform that enables companies to deploy and serve ML models efficiently and scalably in third-party cloud environments or on their own. The platform automates and manages tasks in production environments, such as version management and observability. Companies can deploy their own ML models with Truss, its open-source model packaging framework, or by selecting open-source ML models from its library.It offers its services via a usage-based subscription model based on the number of compute used.Key customers and partnershipsIts notable customers include Robust Intelligence, Gamma, PicnicHealth, Descript, and Rime.Funding and financialsIn March 2024, Baseten raised USD 40 million in <a href="https://sp-edge.com/updates/27249">Series B</a> funding, co-led by IVP and Spark Capital. It was to use the fresh funds to double its 25-member sales team in order to expand its customer base and for product development initiatives.

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>
 
 Artificial Intelligence (AI) and Machine Learning (ML) model deployment infrastructure provider, Baseten Labs, has secured USD 40 million in a Series B funding round. The round was led by IVP and Spark Capital, along with contributions from existing investors including Greylock, South Park Commons, Lachy Groom, and Base Case. This brings the company's total funding to USD 60 million.
 These funds will be directed towards doubling its 25-member sales team to widen its customer reach and invest in product development initiatives.
 Established in 2019, Baseten Labs offers a platform that assists companies in deploying and serving ML models effectively and scalably in the cloud. It simplifies and oversees tasks in production AI settings, such as version management and observability. Companies like Robust Intelligence, Gamma, PicnicHealth, Descript, and Rime are among Baseten Labs' clients.
 
</div>

Baseten

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