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The inference and post-training platform powering the AI-native era
HQ: San Francisco, CA, United States | Founded: 2019 | Employees: ~250 (2026, est.) | Stage: Late Stage VC (Series F) | Website: https://www.baseten.co
Baseten was founded in 2019 in San Francisco by Tuhin Srivastava (CEO), Amir Haghighat (CTO), Philip Howes (Chief Scientist), and Pankaj Gupta, all of whom had previously worked at companies like Uber and built ML systems at scale. Their founding insight: deploying and serving machine-learning models in production was still painfully hard — and as models grew, the serving layer would become the critical bottleneck for every AI product.\n\nBaseten built a serverless-style inference platform where companies deploy, scale, monitor, and now post-train models with minimal ops burden. The company rode the LLM wave with exceptional timing: as open-weight models (Llama, Mistral, DeepSeek, Qwen) became strong enough to rival closed APIs, enterprises and AI startups turned to Baseten to serve and cu
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