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Select companies in the slots below to reveal a useful side-by-side view. You can compare up to four companies and change any selection later.
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| Description | ||||
| Summary | AI-native cloud for training, fine-tuning, inference, and GPU clusters for open-source and custom models. | |||
| Description | 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 | |||
| Funding stage | Series B | |||
| Company type | Private | |||
| Pricing model | usage based | |||
| Last updated | Jun 21, 2026 | |||
| 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 | |||
| 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 | |||
| Segments & Industries | ||||
| Segments | AI Workflows, AI Agents, LLM Fine-tuning, AI Developer Tools, Knowledge & RAG, LLM Deployment, AI Quality & Observability, Traditional ML, AI Governance & Risk, STT/TTS Infrastructure | |||
