Rankings/Baseten
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Baseten

NativePrivateUpdated November 3, 2026

AI model-inference/deployment infrastructure

CEO
Tuhin Srivastava
Founded
2019
HQ
San Francisco, United States
Total Funding
$2.1B
Employees
201-500
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AI Infrastructure
58.9Bluescore
Momentum—
Market MapLocked
Rank change (7d)-26

Products & Offerings

Baseten Inference Platform (Dedicated Deployments)

Runs custom, fine-tuned and open-source models on dedicated, autoscaling GPUs using the Baseten Inference Stack, deployable in Baseten's cloud, the customer's cloud, or both.

PlatformEnterpriseFlagship

Baseten Model APIs

Production-grade, OpenAI-compatible APIs for frontier open models such as DeepSeek, Llama and Qwen, billed per token.

APIDeveloperHigh Growth2025

Baseten Training

Infrastructure and tooling for training and post-training models on customer data before serving them on Baseten.

InfrastructureEnterpriseEmerging2025

Truss

Open-source framework for packaging models into deployable, auto-scaling HTTPS endpoints on Baseten.

Developer ToolDeveloperLive

Agent sandboxes (via Blaxel acquisition)

Secure, persistent execution environments for AI agents' code execution, tool use and sessions, being folded into Baseten's inference platform.

InfrastructureDeveloperEmerging2026

Executive Summary

What they do

  • Runs production inference for open-source, custom and fine-tuned AI models at scale
  • Offers dedicated GPU deployments and OpenAI-compatible Model APIs for open models
  • Expanding into training, post-training and secure sandboxes for AI agents

Why it matters

  • Raised a $1.5B Series F in June 2026 at a valuation of up to $13B
  • Powers inference for Cursor, Notion, Abridge, Clay, Decagon and other leading AI apps
  • Nvidia invested $150M; strategic agreements with AWS and Google Cloud broaden capacity

Best fit

  • AI product teams serving latency-sensitive LLM, speech or image workloads in production
  • Enterprises moving from closed-model APIs to their own open or fine-tuned models
  • Regulated buyers needing self-hosted, hybrid or data-residency-controlled inference deployments

Watch-outs

  • Hypergrowth and recent acquisitions may strain support, reliability and roadmap focus
  • Faces pricing pressure from Together AI, Fireworks AI and hyperscaler inference services
  • Training and agent sandbox offerings are newer and less proven than inference

Latest News

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Analyst VerdictShortlist

Baseten is one of the leading independent inference platforms. It has heavy funding, Nvidia backing and production customers such as Cursor, Notion and Abridge, so any team running open or custom models in production should consider it now. Benchmark latency, cost per token and SLAs against Together AI, Fireworks AI and your hyperscaler's native option, and get capacity and support commitments in writing given how fast Baseten is growing.

Signal Provenance

Latest observation date and source for each signal category

Signal CategoryLast UpdatedSource
Funding Signals
Last funding round, Funding stage
Nov 2, 2026Montclare research agents
Hiring Velocity
Headcount, Headcount growth
Nov 3, 2026Montclare research agents
Technical Output
Research papers, GitHub activity
Nov 3, 2026Montclare research agents
News Sentiment
News mentions, News sentiment
Nov 3, 2026Montclare research agents
Partnership Signals
Enterprise partnerships, Distribution partners
Nov 3, 2026Montclare research agents
Revenue Indicators
ARR estimate, Revenue growth
Nov 3, 2026Montclare research agents
Leadership Signals
CEO tenure, Founder-led
Nov 3, 2026Montclare research agents
Competitive Position
Category rank, Market share
Nov 3, 2026Montclare research agents

Why this Bluescore?

6 dimensions, each scored 0–10 against all — companies. Each adds its weight × score to the Bluescore — see methodology

D1 · Business Model & Revenue (21%)
3.8
+8.0 of 21 pts · 22th pct
D2 · Product Depth (21%)
7.6
+15.9 of 21 pts · Top 9%
D3 · Data & Model Moat (19%)
4.8
+9.2 of 19 pts · 68th pct
D4 · Talent & Research (16%)
7.4
+11.8 of 16 pts · Top 22%
D5 · Customer Adoption (13%)
5.3
+6.9 of 13 pts · 34th pct
D6 · Investment Momentum (10%)
7.1
+7.1 of 10 pts · Top 12%

Risks

Rapid scaling and back-to-back acquisitions could disrupt service quality and support
Medium
Depends on scarce GPU supply from Nvidia and cloud partners for capacity
Medium
Inference price competition from Together, Fireworks and hyperscalers may squeeze margins
Medium
Customer base leans toward AI-native startups whose demand can be volatile
Low
Training and agent sandbox products are newer, so enterprise maturity is unproven
Low
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