Domino Data Lab

Research Team Data Published Compare

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
Funding stage
Company type
Private
Pricing model
Subscription (Enterprise SaaS / platform subscription)
Last updated

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

Classification (raw research text)

Core focus
Enterprise AI development, MLOps and governance
Core industry
Enterprise AI Development
Core category
MLOps / AI platform

Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.

Segments, Industries & Certifications

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