Dataiku is The Universal AI Platform™, offering a comprehensive solution to build, deploy, and manage data, analytics, and AI projects for organizations of all sizes. The platform enables businesses to operationalize the concept of 'Everyday AI' by providing control over their AI talent, processes, and technologies, supporting a wide range of users from business analysts to expert data scientists.
What Does Dataiku Offer?
Dataiku's platform is designed to be technology-agnostic, integrating seamlessly with all major clouds, data platforms, AI services, and legacy systems. It supports no-code, low-code, and full-code workflows, allowing teams to collaborate and innovate regardless of their technical proficiency.
Key capabilities of the Dataiku platform include:
- GenAI & Agents: Tools for building enterprise-grade AI agents and generative AI (GenAI) use cases at scale, including a secure LLM gateway and resources for development, evaluation, and governance.
- Machine Learning: Streamlined model building and evaluation with AutoML, support for advanced ML techniques, and the flexibility for full-code customizations.
- Analytics & Insights: Enhanced BI and self-service analytics through visualizations, dashboards, and GenAI-powered storytelling.
- Data Preparation for AI: Accelerated data connection, cleansing, and preparation, enabling teams to ready data for AI ten times faster.
- AI Governance & Engineering Operations: Comprehensive features to manage risk, ensure compliance, and oversee operational aspects of AI initiatives.
- Broad AI Ecosystem: Integration with leading AI partners and platforms to ensure flexibility and scalability.
Who Uses Dataiku?
Dataiku serves a diverse array of industries, powering AI initiatives for some of the world's largest organizations. Notable customers include Johnson & Johnson, LVMH, Michelin, BMO, Novartis, Unilever, Accenture, AWS, Databricks, Deloitte, Snowflake, SLB, Pinecone, Anthropic, Hugging Face, Mistral, NVIDIA, OpenAI, Regeneron, Sephora, GE, NHS, BNP Paribas, Toyota, Standard Chartered, Zurich, Moderna, NXP, Ameritas, ENGIE, Roche, Akamai, System1, Frende Forsikring, Rabobank, ENEOS Materials, AFL, Flybuys, Transurban, GEODIS, LG Chem, Ørsted, and Heraeus, among others. These organizations use Dataiku to accelerate AI adoption, streamline analytics, and deliver business value at scale.
How Did Dataiku Start and Who Leads the Company?
Dataiku was co-founded by Florian Douetteau (Chief Executive Officer), Clément Sténac (Chief Technology Officer), and Marc Batty. The leadership team also includes Lynne Oldham (Chief People Officer), Adam Towns (Chief Financial Officer), Phil Coady (Chief Revenue Officer), Carole Offredo (Chief Marketing Officer), and Daniel Brennan (Chief Legal Officer). The board features experienced industry leaders from companies like Tableau and Mimecast, as well as venture partners from FirstMark Capital and Battery Ventures. Dataiku's leadership brings deep expertise in AI, data engineering, and enterprise software, which shapes the company's focus on practical, scalable AI solutions.
What Makes Dataiku Different?
A key differentiator for Dataiku is its aggressively agnostic architecture, ensuring organizations retain technology optionality and avoid vendor lock-in. The platform's flexibility allows teams to work with their preferred tools and environments, supporting both business and technical users across the AI lifecycle. By bridging the gap between no-code, low-code, and full-code users, Dataiku facilitates collaboration at scale and accelerates the delivery of real AI systems.
Recent News and Impact
Dataiku continues to drive substantial ROI and time-to-value for enterprise clients. Recent announcements highlight cases such as Novartis reducing GenAI insight delivery time by 90%, Johnson & Johnson deploying GenAI and LLM prototypes in under two days, and Frende Forsikring saving over 110 hours per month through GenAI-powered automation. More details are available in their latest news.
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