Together AI
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.
Positioning
Full-stack AI cloud for inference, fine-tuning, and training
Key facts
- HQ location
- San Francisco, CA, USA
- Founded
- 2022
- Employee range
- 201-500 (201-500)
- Funding stage
- Series B
- Company type
- Private (Private)
- Pricing model
- Usage Based (Usage-based API and GPU/inference/fine-tuning pricing plus enterprise contracts)
- Last updated
- Jun 21, 2026
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
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
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 segment/industry tags from this text is a future phase.
Attribute breakdown
- AI Workflows Secondary feature
- AI Fine-tuning / Custom Model Training Primary focus
- Agent Builder / Agent Configuration Secondary feature
- Multi-agent Orchestration / Runtime Secondary feature
- System / API Integration Secondary feature
- Retrieval-Augmented Generation Secondary feature
- AI / LLM Data Pipeline Secondary feature
- Model Deployment / Inference Infrastructure Primary focus
- Traditional Machine Learning Secondary feature
- AI Quality Assurance / LLM Evaluation Secondary feature
- AI Observability / Monitoring Secondary feature
- AI Security / Guardrails Secondary feature
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Secondary feature
- Voice Infrastructure / STT / TTS Secondary feature
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Not emphasized
- AI Fine-tuning / Custom Model Training Primary focus
- Agent Builder / Agent Configuration Secondary feature
- Multi-agent Orchestration / Runtime Secondary feature
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Not emphasized
- Retrieval-Augmented Generation Secondary feature
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Not emphasized
- AI / LLM Data Pipeline Secondary feature
- Document AI / Document Processing Not emphasized
- Model Deployment / Inference Infrastructure Primary focus
- Traditional Machine Learning Secondary feature
- AI Quality Assurance / LLM Evaluation Secondary feature
- AI Observability / Monitoring Secondary feature
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Not emphasized
- AI Governance / Policy Management Secondary feature
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Secondary feature
- Human-in-the-Loop Review / Feedback Not emphasized
- Call Transcription / Speech-to-Text Data Capture Not emphasized
- Conversation Intelligence / Speech Analytics Not emphasized
- Text Chatbots / Conversational Assistants Not emphasized
- Voice AI Agents Not emphasized
- Voice Infrastructure / STT / TTS Secondary feature
- AI for Customer Experience / Support Automation Not emphasized
- Sales / Revenue Intelligence Not emphasized
- Analytics / BI / Decision Intelligence Not emphasized
- Enterprise App / Internal Tool Builder Not emphasized
- Vertical-Specific AI Not emphasized