
Dataiku
The Platform for AI Success
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Quick Answer
Dataiku is an enterprise AI platform for building, deploying, and governing AI, machine learning, and analytics solutions. It integrates with major cloud providers like AWS, Azure, and Google Cloud, and is used by enterprises including Novartis, Johnson & Johnson, Toyota, and Michelin. Best for large enterprises seeking to operationalize AI with robust governance and collaboration.
Dataiku is an enterprise AI platform that unifies analytics, machine learning, and AI agents in a single governed system. It enables business and technical teams to collaborate on data projects, from data preparation to model deployment, with built-in orchestration and governance. Dataiku is designed for large organizations to operationalize AI while managing cost and risk at scale.
Dataiku provides a unified platform that connects data, ML, LLMs, and agents across any infrastructure, enforcing governance from day one. It allows enterprises to build and deploy AI agents grounded in their own data and pipelines, offering centralized routing, quotas, monitoring, and safety controls for LLM providers.
Decision Intelligence
Best For
Type
Dimension Scores
· 5.7 avgHow good it is, across universal quality axes
Task Scores
· 6.9 avgWhat it can do, per category it works in · showing 10 of 10 tasks scoring 5+
Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →
Complexity
Company Size
Target Team Size
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Privacy & data handling
Compliance audit trail
1 event- GDPR
Privacy Policy last revised
1yr ago · 2025-08-18 · source
The Model(s) Behind It
Model details — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

Stop building workflows. Start hiring agents.

Experimental framework for a self-building autonomous agent

AI voice agent platform for phone call centers

The spreadsheet for AI analysis and data science
Auto-updated
Trust Score
Excellent
Based on 12 data signals
Confidence: High
Reflects publicly available data, not an independent audit
No published data
Not yet checked
Some details are AI-generated estimates — verify with the vendor.
AI-generated estimate: What Makes Unique
How we source dataAI Governance & Regulatory Disclosures
Legally-sensitive fields — extracted from public vendor sources by our pipeline (AI extraction plus a source check) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.
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Who It's For3 rolesData ScientistsComputer Systems AnalystsManagement Analysts
Platform, Content & Languages3 content types1 languagesTextDocumentSpreadsheetEnglish+8 more
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Frequently Asked Questions
What can Dataiku do?
Dataiku can: Enterprise AI orchestration, AI agent building and deployment, Unified AI governance and oversight, Machine learning operations (MLOps). Best for: Enterprise data science teams scaling AI across diverse departments.
How much does Dataiku cost?
Dataiku uses enterprise pricing. Contact their sales team for a custom quote.
Is Dataiku free?
No, Dataiku is a paid tool. Pricing is custom — contact their sales team for a quote.
What makes Dataiku unique?
Dataiku provides a unified platform that connects data, ML, LLMs, and agents across any infrastructure, enforcing governance from day one. It allows enterprises to build and deploy AI agents grounded in their own data and pipelines, offering centralized routing, quotas, monitoring, and safety controls for LLM providers.
Does Dataiku have an API?
Yes, Dataiku offers a public API for developers to integrate its capabilities into custom applications and workflows.
What platforms does Dataiku support?
Dataiku is available on web and API.
What languages does Dataiku support?
Dataiku supports English.
Who is Dataiku for?
Dataiku is designed for Enterprise data science teams scaling AI across diverse departments; Large organizations needing unified governance for multi-vendor AI environments; Analytics teams moving analysts off spreadsheets and legacy desktops.




