# BaseTen Labs

Startup profile on Capital Atlas: https://capitalatlas.ai/startups/baseten-labs

- Industry: Software
- Headquarters: San Francisco, US
- Website: www.baseten.co/
- Total disclosed funding: $1.7B
- Latest round: Series F (Jun 22, 2026)
- Investors on record: 22

## About

Founded in 2019 and based in California, US, BaseTen Labs, Inc., is a software providing firm founded by Tuhin Srivastava (CEO), Amir Haghighat, Pankaj Gupta and Phil Howes that simplifies back-ends, front ends, and machine learning operations. The company provides a platform that offers various applications including data labeling, image generation, hugging face model, scikit-learn model, content moderation, sentiment analysis, photo restoration, keras model, and others. These applications are based on machine learning technology offering assistance to businesses and enterprises in streamlining their workflow processes. In June 2026, BaseTen Labs, Inc. raised USD 1.1 billion in series F funding co-led by Wellington Management, Sands Capital Alternatives, Altimeter Capital, Spark Capital and Conviction. Blackbird also participated in the round. The venture funding values BaseTen Labs, Inc. at USD 13 billion post-money. 

BaseTen Labs, Inc. provides an AI inference infrastructure platform that enables enterprises and developers to deploy, manage, and scale machine learning models in production environments. The platform supports model serving through APIs, GPU orchestration, autoscaling, and multi-cloud deployment. It also offers capabilities for model monitoring, optimization, and observability, allowing users to efficiently run both custom and pre-trained models. The company focuses on enabling reliable, cost-efficient, and scalable inference for real-time and large-scale AI applications.

Baseten generates revenue primarily through usage-based pricing tied to AI inference workloads, including compute consumption, GPU utilization, and model serving at scale. Additional streams include enterprise contracts for platform access, deployment and management of custom and post-trained models, and multi-cloud orchestration services. The company may also derive revenue from value-added features such as observability, optimization tooling, and infrastructure management capabilities required for large-scale production AI deployments.

The company is expected to expand global infrastructure capacity to support increasing inference workloads while improving efficiency across multi-cloud environments. It will scale engineering and research teams to enhance platform performance, model optimization, and reliability. Growth will also focus on enterprise adoption through expanded go-to-market functions, targeting large-scale production deployments and supporting customers building custom and post-trained models across diverse use cases.

## Funding rounds

- Series F, Jun 22, 2026, $1.1B — Battery Ventures, Institutional Venture Partners, Greylock Partners, Spark Capital, Wellington Management, D. E. Shaw & Co, Altimeter Capital, Blackbird, Sands Capital Alternatives, Durable Capital Partners, 01A, Conviction, Verified Capital
- Series E, Jan 20, 2026, $300M — Institutional Venture Partners, Greylock Partners, Spark Capital, NVIDIA Corporation, CapitalG, Bond
- Series D, Sep 5, 2025, $150M — Institutional Venture Partners, Greylock Partners, Spark Capital, Premji Invest, BoxGroup, CapitalG, Bond, 01A, Scribble Ventures, Conviction
- Series C, Feb 19, 2025, $75M — Institutional Venture Partners, Greylock Partners, Spark Capital, South Park Commons, 01A, Conviction
- Series B, Mar 4, 2024, $40M — Greylock Partners, Spark Capital, IVP Capital, South Park Commons, Base Case Capital
- Series A, Apr 26, 2022, $12M — Greylock Partners, South Park Commons

## Investors

- Greylock Partners (https://capitalatlas.ai/funds/greylock-partners) — Series A, Series B, Series C, Series D, Series E, Series F
- South Park Commons (https://capitalatlas.ai/funds/south-park-commons) — Series A, Series B, Series C
- Spark Capital — Series B, Series C, Series D, Series E, Series F
- IVP Capital — Series B
- Base Case Capital (https://capitalatlas.ai/funds/base-case-capital) — Series B
- Institutional Venture Partners (https://capitalatlas.ai/funds/institutional-venture-partners) — Series C, Series D, Series E, Series F
- 01A (https://capitalatlas.ai/funds/01a) — Series C, Series D, Series F
- Conviction (https://capitalatlas.ai/funds/conviction) — Series C, Series D, Series F
- Premji Invest — Series D
- BoxGroup (https://capitalatlas.ai/funds/boxgroup) — Series D
- CapitalG (https://capitalatlas.ai/funds/capitalg) — Series D, Series E
- Bond (https://capitalatlas.ai/funds/bond) — Series D, Series E
- Scribble Ventures (https://capitalatlas.ai/funds/scribble-ventures) — Series D
- NVIDIA Corporation — Series E
- Battery Ventures (https://capitalatlas.ai/funds/battery-ventures) — Series F
- Wellington Management (https://capitalatlas.ai/funds/wellington-management) — Series F
- D. E. Shaw & Co (https://capitalatlas.ai/funds/d-e-shaw-co) — Series F
- Altimeter Capital (https://capitalatlas.ai/funds/altimeter-capital) — Series F
- Blackbird (https://capitalatlas.ai/funds/blackbird) — Series F
- Sands Capital Alternatives (https://capitalatlas.ai/funds/sands-capital-alternatives) — Series F
- Durable Capital Partners — Series F
- Verified Capital (https://capitalatlas.ai/funds/verified-capital) — Series F
