Together AI
Research Team Data
Published
Full-stack AI cloud for inference, fine-tuning, and training
Company profile
Overview
AI-native cloud for training, fine-tuning, inference, and GPU clusters for open-source and custom models.
Provides inference APIs, fine-tuning, custom model training, GPU clusters, and infrastructure for building with open-source and customized foundation models.
At a glance
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2022
- Employee range
- 201-500
- Funding stage
- Series B
- Company type
- Private
- Last updated
- Pricing model
- Usage BasedUsage-based API and GPU/inference/fine-tuning pricing plus enterprise contracts
Business context
Financials
- Revenue estimate
- $1B annualized revenue estimate (Sacra, Feb 2026); company revenue not officially disclosed
- Valuation estimate
- $3.3B Series B valuation; later reports/estimates suggest higher secondary/current valuation
- Investments
- $305M Series B announced Feb 2025; $533.5M total per CB Insights AI 100 2025
Market context
Relationships
- Target customers
- AI developers, research teams, startups, enterprises building GenAI applications
- Key competitors
- Fireworks AI, Baseten, Replicate, Lambda, CoreWeave, OpenAI, Anthropic, Databricks
- Known customers
- 450,000+ developers/users; enterprise customers not comprehensively disclosed
Source context
Classification (raw research text)
- Core focus
- AI model infrastructure
- Core industry
- AI Infrastructure
- Core category
- AI cloud / model training and inference platform
Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.
Market taxonomy
Segments, Industries & Certifications
Segments
AI WorkflowsAI AgentsLLM Fine-tuningAI Developer ToolsKnowledge & RAGLLM DeploymentAI Quality & ObservabilityTraditional MLAI Governance & RiskSTT/TTS Infrastructure