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Domino Data Lab

https://domino.ai/ Research Team Data
Active

Enterprise AI platform for regulated teams to build, scale, deploy, monitor, and govern models, AI applications, and agents.

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 (201-500)
Funding stage
Bootstrapped
Company type
Private (Private)
Pricing model
Subscription (Enterprise SaaS / platform subscription)
Last updated
Jun 21, 2026

Revenue estimate

Unknown / not publicly disclosed

Valuation estimate

~$450M post-money valuation in 2020 (dated)

Investments

~$228M total funding; $100M Series F in 2021

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 segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Primary focus
  • AI Automation / Business Process Automation Secondary feature
  • AI Fine-tuning / Custom Model Training Secondary feature
  • Agent Builder / Agent Configuration Secondary feature
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Secondary feature
  • Retrieval-Augmented Generation Secondary feature
  • AI / LLM Data Pipeline Secondary feature
  • Document AI / Document Processing Secondary feature
  • Model Deployment / Inference Infrastructure Primary focus
  • Traditional Machine Learning Primary focus
  • AI Quality Assurance / LLM Evaluation Secondary feature
  • AI Observability / Monitoring Primary focus
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Primary focus
  • AI Risk / Compliance Primary focus
  • AI Asset Inventory / Model Registry Primary focus
  • Human-in-the-Loop Review / Feedback Secondary feature
  • Analytics / BI / Decision Intelligence Secondary feature
  • Enterprise App / Internal Tool Builder Secondary feature
Show all 32 attributes
  • AI Workflows Primary focus
  • AI Automation / Business Process Automation Secondary feature
  • AI Fine-tuning / Custom Model Training Secondary feature
  • Agent Builder / Agent Configuration Secondary feature
  • Multi-agent Orchestration / Runtime Secondary feature
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Secondary feature
  • 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 Secondary feature
  • Model Deployment / Inference Infrastructure Primary focus
  • Traditional Machine Learning Primary focus
  • AI Quality Assurance / LLM Evaluation Secondary feature
  • AI Observability / Monitoring Primary focus
  • AI Security / Guardrails Secondary feature
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Primary focus
  • AI Risk / Compliance Primary focus
  • AI Asset Inventory / Model Registry Primary focus
  • Human-in-the-Loop Review / Feedback Secondary feature
  • 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 Not emphasized
  • AI for Customer Experience / Support Automation Not emphasized
  • Sales / Revenue Intelligence Not emphasized
  • Analytics / BI / Decision Intelligence Secondary feature
  • Enterprise App / Internal Tool Builder Secondary feature
  • Vertical-Specific AI Not emphasized