Dataiku
NativePrivateUpdated November 3, 2026Data science/ML/GenAI platform for enterprises
- Website
- www.dataiku.com
- CEO
- Florian Douetteau
- Founded
- 2013
- HQ
- New York, United States
- Total Funding
- $1.0B
- Employees
- 1001-5000
Products & Offerings
Dataiku Platform (DSS)
End-to-end enterprise platform for data preparation, analytics, machine learning, MLOps and GenAI application development with visual and code interfaces.
Dataiku LLM Mesh
Governed gateway layer that connects enterprise applications and agents to multiple LLM providers with cost tracking, guardrails and auditability.
Dataiku Agent Management
Standalone product that discovers AI agents across AWS, Databricks, Google, Microsoft, Salesforce, Snowflake and more, measuring value and flagging risk.
Dataiku Cobuild
AI building agent that turns a business objective into a governed, production-ready AI project for any enterprise team.
Dataiku Govern
Governance module for tracking, approving and auditing AI models, GenAI applications and agents across the organization.
Executive Summary
What they do
- Unified platform for data prep, machine learning, GenAI and AI agent development
- LLM Mesh gives governed, provider-agnostic access to commercial and open-weight models
- New Agent Management product inventories and risk-tiers agents across cloud platforms
Why it matters
- Surpassed $350M ARR in October 2025, signaling broad enterprise adoption
- Governance-first design suits regulated firms scaling GenAI and agents responsibly
- Named Snowflake's 2026 AI Platform Product Partner of the Year, strengthening data-cloud integration
Best fit
- Large enterprises standardizing analytics, ML and GenAI on one governed platform
- Mixed teams of analysts, data scientists and business users collaborating
- Multi-cloud organizations needing oversight of agents built on many platforms
Watch-outs
- Premium enterprise pricing can be hard to justify for smaller teams
- Overlaps with Databricks, Snowflake and hyperscaler-native AI tooling buyers may already own
- Agent Management and Cobuild are 2026 launches with limited production track record
Latest News
HPCwire · 6 days ago
PositiveTechTarget · 7 days ago
PositiveHPCwire · 7 days ago
PositiveTelecompaper · 28 days ago
PositiveArabian Business · 1 month ago
PositiveUnlock Full Intelligence
Pro members get the complete briefing
- Complete analyst verdict
- Risk assessment
- All 6 Bluescore dimension scores
- Traction signals
- Bluescore history & momentum tracking
- Unlimited company access
Dataiku is one of the most established independent enterprise AI platforms. It has more than $350M ARR, large-enterprise customers such as Air Canada, Aviva and Trane Technologies, and strong governance tooling for GenAI and agents. Enterprises that want a vendor-neutral layer over Snowflake, Databricks and hyperscaler models should shortlist it. Before buying, check total cost and how much it overlaps with the native AI features of your existing data platform. Pilot the newer Agent Management and Cobuild products before relying on them in production.
Signal Provenance
Latest observation date and source for each signal category
| Signal Category | Last Updated | Source |
|---|---|---|
Funding Signals Last funding round, Funding stage | Oct 31, 2026 | Montclare research agents |
Hiring Velocity Headcount, Headcount growth | Nov 3, 2026 | Montclare research agents |
Technical Output Research papers, GitHub activity | Nov 3, 2026 | Montclare research agents |
News Sentiment News mentions, News sentiment | Nov 1, 2026 | Montclare research agents |
Partnership Signals Enterprise partnerships, Distribution partners | Never | Montclare research agents |
Revenue Indicators ARR estimate, Revenue growth | Nov 3, 2026 | Montclare research agents |
Leadership Signals CEO tenure, Founder-led | Nov 3, 2026 | Montclare research agents |
Competitive Position Category rank, Market share | Nov 3, 2026 | Montclare research agents |
Why this Bluescore?
6 dimensions, each scored 0–10 against all — companies. Each adds its weight × score to the Bluescore — see methodology