
Location
Headquarters: San Francisco, California, United States, North America
Region: California
Country: US
Continent: North America
About
Baseten provides a high-performance inference platform for deploying and serving AI models at scale. It supports open-source, custom, and fine-tuned models with multi-cloud and self-hosted deployment options, emphasizing fast runtimes, reliability, and a streamlined developer experience. Based on the Baseten Inference Stack, it targets engineering and ML teams looking to run production-grade AI workloads across cloud environments. The company appears to operate globally with services spanning dedicated deployments, model APIs, and training workflows.
Baseten provides an inference platform for deploying and serving AI models at scale. It supports open-source, custom, and fine-tuned models with multi-cloud and self-hosted deployment options. The company targets engineering and ML teams seeking production-grade AI workloads.
BaseTen Labs, Inc.
2019
for_profit
active
Industries
Primary Industry: Media & Internet
Categories
Funding & Financials
Series D
64800000
1m-10m
private
Investors
Founders
Amir Haghighat
Pankaj Gupta
Philip Howes
Tuhin Srivastava
Leadership
Technology Stack
Products
Baseten Inference Stack: An infrastructure platform for deploying and serving AI models with scalable, high-availability runtimes across multiple clouds.
Model APIs: APIs that provide instant access to pre-optimized AI models for prototyping, testing, and production workloads.
Baseten Training: An inference-optimized infrastructure service for training AI models without hardware or orchestration overhead.
Baseten Embeddings Inference (BEI): A service for high-throughput, low-latency embeddings inference with performance improvements over other solutions.
Baseten Chains: A platform enabling compound AI systems with granular hardware control and autoscaling to optimize GPU usage and reduce latency.
Dedicated Deployments: Provisioned infrastructure for serving AI models with scalable compute resources and performance optimizations.
Funding rounds
Series E · $300M · (2026-01-20) · Lead: CapitalG,IVP
Series D · $150M · (2025-09-05) · Lead: Bond
Series C · $75M · (2025-02-19) · Lead: IVP,Spark Capital
