Dataiku
Dataiku, founded in 2013 by Florian Douetteau, Marc Batty, Thomas Cabrol, and Clément Stenac, began as a collaborative data science platform in Paris and has evolved into an enterprise AI orchestration system.
Profile
Enterprise platform for building, deploying, and governing AI agents and machine learning models at scale with unified governance.
Dataiku, founded in 2013 by Florian Douetteau, Marc Batty, Thomas Cabrol, and Clément Stenac, began as a collaborative data science platform in Paris and has evolved into an enterprise AI orchestration system. Now headquartered in New York with over 1,250 employees across 13 offices, the company serves 750+ organizations, including one in four Forbes Global 2000 companies. The platform helps enterprises move from experimental AI pilots to operationalized, governed systems at scale.
Dataiku reached $350 million in annual recurring revenue in October 2025, growing from $300 million in 2024, driven by rising demand for AI governance and agent management capabilities. Recent product milestones include the March 2026 launch of Agent Management, Cobuild (AI-assisted agent building), and Reasoning Systems for industry-specific decision intelligence. The company has raised $846.6 million to date, including a $400 million Series G in October 2025 at a $3.7 billion valuation.
In October 2025, Reuters reported that Dataiku engaged Morgan Stanley and Citigroup to prepare for a potential U.S. IPO in the first half of 2026. Competitively, Dataiku has maintained fourth consecutive year as a Gartner Magic Quadrant Leader for data science and machine learning platforms and was named to the 2025 Forbes Cloud 100. However, recent employee feedback on platforms like Glassdoor and Blind has surfaced concerns about layoffs in 2025, organizational restructuring, and leadership changes that may indicate execution risks ahead of a public debut.
Who buys this
- Financial services firms needing governed agentic AI and regulatory compliance
- Life sciences and pharmaceutical companies scaling predictive models for drug discovery and manufacturing
- Manufacturing enterprises optimizing supply chain and production with AI and ML
- Retail and consumer goods companies modernizing analytics and personalization
- Technology and SaaS vendors embedding AI agents into products
Publicly disclosed clients
- Johnson & Johnson
- Toyota
- Michelin
- Roche
- Novartis
- SoftBank
- GE
- Regeneron
- Prologis
Strengths and what to watch
Strengths
- Strong revenue growth (67% YoY from $300M to $350M ARR in 2024-2025) with fourth consecutive Gartner Magic Quadrant leadership position
- Governance-first platform for agent management and control, addressing enterprise concerns about sprawl and audit trails in agentic AI deployments
- Integrated LLM Mesh supporting 15+ cloud and AI providers (OpenAI, Anthropic, Mistral, Llama, AWS Bedrock, Azure, Google Gemini) with no vendor lock-in
Watch for
- Internal leadership instability: 2025 layoffs and Customer Success reorganization triggered staff departures; Glassdoor reports of CTO-driven R&D exodus from French office and rapid hiring of inexperienced leadership hires
- IPO execution risk: October 2025 engagement of Morgan Stanley and Citigroup for H1 2026 IPO plans; enterprise AI market volatility and slowing growth in mature segments could pressure valuation
- Competitive consolidation pressure: Databricks, Palantir, and cloud-native incumbents (Snowflake, AWS, Azure) are layering agent and governance capabilities; Dataiku's market position depends on retaining enterprise customers through platform stickiness
Recent moves
- 3w ago Dataiku launches Cobuild on Snowflake for AI-assisted agent and workflow generation
- 3mo ago Dataiku unveils Platform for AI Success with Agent Management, Cobuild, and Reasoning Systems
- 8mo ago Dataiku raises $400M in Series G at $3.7B valuation led by Tiger Global and ICONIQ Growth
- 8mo ago Dataiku surpasses $350M ARR; hires Mark Abramowitz (ServiceNow, Salesforce) as Chief Marketing Officer
- 9mo ago Dataiku named to Forbes Cloud 100 2025, ranking among top 100 private cloud and AI companies
Key Information
- Industry
- Machine Learning & Artificial Intelligence
- Founded
- 2013
- Headquarters
- United States
Frequently Asked Questions
What is Dataiku?
Dataiku is an enterprise AI orchestration platform for building, deploying, and governing machine learning models and AI agents at scale. Founded in 2013, the platform combines data science, agent management, and governance capabilities in a unified system serving 750+ organizations.
What companies use Dataiku?
Dataiku serves 750+ enterprises globally, including one in four Forbes Global 2000 companies. Notable customers include Johnson & Johnson, Toyota, Roche, Novartis, Michelin, SoftBank, GE, Regeneron, and Prologis. The platform is used across financial services, life sciences, manufacturing, retail, and technology.
What is Dataiku's revenue and funding?
Dataiku reached $350 million in annual recurring revenue in October 2025, up from $300 million in 2024 (67% year-over-year growth). The company has raised $846.6 million total, including a $400 million Series G at a $3.7 billion valuation in October 2025.
What are Dataiku's main features?
Dataiku combines AI agent management, LLM governance, and machine learning orchestration in a single platform. Key capabilities include Cobuild for AI-assisted agent building, Reasoning Systems for decision intelligence, and an integrated LLM Mesh supporting 15+ cloud providers without vendor lock-in.
How does Dataiku manage and govern AI agents?
Dataiku's Agent Management platform governs agentic AI deployments with built-in audit trails and control mechanisms addressing enterprise compliance concerns. The platform prevents sprawl through centralized governance while Cobuild automates agent creation. Multi-provider LLM Mesh lets enterprises avoid lock-in to single AI vendors.
Is Dataiku a leader in AI platforms?
Dataiku holds Gartner Magic Quadrant Leader status for the fourth consecutive year in data science and machine learning platforms. The company is named to the 2025 Forbes Cloud 100. However, 2025 organizational restructuring and leadership changes present execution risks ahead of the planned 2026 IPO.
How Dataiku compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Dataiku
- Positioning
- Enterprise platform for building, deploying, and governing AI agents and machine learning models at scale with unified governance.
- Customer segments
- Financial services firms needing governed agentic AI and regulatory compliance
- Strengths
- Strong revenue growth (67% YoY from $300M to $350M ARR in 2024-2025) with fourth consecutive Gartner Magic Quadrant leadership position
- Watch for
- Internal leadership instability: 2025 layoffs and Customer Success reorganization triggered staff departures; Glassdoor reports of CTO-driven R&D exodus from French office and rapid hiring of inexperienced leadership hires
- Recent moves
- Dataiku launches Cobuild on Snowflake for AI-assisted agent and workflow generation
Databricks
- Positioning
- Unified data and AI platform for enterprises moving ML workloads from experimentation to production at scale.
- Customer segments
- Data engineering and ML teams at Fortune 500 firms in finance, retail, and life sciences.
- Strengths
- Unity Catalog provides unified governance across data, models, and AI agents in a single lineage layer.
- Watch for
- Cost unpredictability from compute pricing fluctuations and cluster over-provisioning for steady BI workloads.
- Recent moves
- Accenture partnership to scale enterprise AI adoption announced March 2026.
DataRobot
- Positioning
- Automated MLOps and agentic AI platform targeting Fortune 50 operationalization of predictive and generative models.
- Customer segments
- Data science and analytics teams in financial services, healthcare, manufacturing, and energy sectors.
- Strengths
- End-to-end automated model lifecycle with bias detection, explainability, and EU AI Act governance controls built in.
- Watch for
- Negative NPS of minus 13, recurring layoffs, and rapid leadership turnover across CEO and sales roles since 2021.
- Recent moves
- Agent Workforce Platform launched with NVIDIA integration July 2025.
H2O.ai
- Positioning
- Sovereign AI platform for regulated industries combining predictive and generative AI with on-premises deployment options.
- Customer segments
- Data science teams in financial services, healthcare, insurance, and U.S. federal government agencies.
- Strengths
- Air-gapped and on-premises deployment with FedRAMP High certification, targeting strict data sovereignty requirements.
- Watch for
- December 2024 breach exposed employee Social Security numbers and internal records, triggering law firm investigations.
- Recent moves
- FedRAMP In Process designation at High Impact Level achieved May 2025.
Sources
- www.dataiku.com — Core product positioning, customer base (Novartis, Johnson & Johnson, Toyota, Michelin, Roche, SoftBank), Gartner Magic Quadrant leader status, platform architecture (People, Orchestration, Governance)
- techcrunch.com — Historical funding milestones: Series E $400M (Aug 2021), Series F $200M at reduced valuation (Dec 2022); founders and founding context
- ca.finance.yahoo.com — October 2025 IPO preparation: Morgan Stanley and Citigroup engagement for potential H1 2026 U.S. IPO; target valuation $6-9B
- finance.yahoo.com — October 2025 $350M ARR milestone, 750+ customer count including 1 in 4 Forbes Global 2000, 1,250+ employees, Mark Abramowitz CMO hire, Snowflake partnership recognition
- getlatka.com — Revenue growth trajectory: $300M ARR (Dec 2024) to $350M ARR (Oct 2025); Series G funding details; total funding $846.6M
- www.globenewswire.com — April 2025 AI Agents announcement; LLM Mesh integration with 15+ providers; governance capabilities for enterprise AI agent deployments
- www.glassdoor.com — Employee feedback on 2025 layoffs, Customer Success reorganization concerns, and leadership changes