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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 | Enterprise AI platform for regulated teams to build, scale, deploy, monitor, and govern models, AI applications, and agents. | |||
| Description | Domino provides collaborative model development, compute orchestration, MLOps, governance, deployment, registry, monitoring, and application lifecycle capabilities for regulated enterprises building AI-powered applications with hosted or external models/agents. | |||
| Positioning | Accelerate and scale enterprise AI | |||
| Key facts | ||||
| HQ location | San Francisco, CA, USA | |||
| Founded | 2013 | |||
| Employee range | 201-500 | |||
| Company type | Private | |||
| Pricing model | subscription | |||
| Last updated | Jun 21, 2026 | |||
| Financials | ||||
| Revenue estimate | Unknown / not publicly disclosed | |||
| Valuation estimate | ~$450M post-money valuation in 2020 (dated) | |||
| Investments | ~$228M total funding; $100M Series F in 2021 | |||
| Relationships | ||||
| Target customers | Data science, ML engineering and regulated enterprise AI teams | |||
| Key competitors | Databricks, DataRobot, H2O.ai, SageMaker, Vertex AI | |||
| Known customers | 20%+ of Fortune 500 claimed; leading enterprises in pharma, finance and manufacturing | |||
| Segments & Industries | ||||
| Segments | AI Workflows, AI Agents, LLM Fine-tuning, AI Developer Tools, Knowledge & RAG, Document AI, LLM Deployment, AI Quality & Observability, Traditional ML, AI Governance & Risk, Analytics & BI | |||
