Our Vision

We're creating a new category in data infrastructure: the Knowledge Warehouse. Just as datawarehouse is the backbone of value generation from structured data with Analytics and ML, we're building the equivalent foundation for unstructutured data to power AI and agentic workflow.

What We’re Building

To enable every data team to build their own Knowledge Warehouse, we’re delivering a powerful, flexible platform with best-in-class components:

• AI-Ready Storage: Represent unstructured data in a mix of graph, vector, and structured databases—optimized for flexibility.
• LLM-Scale Pipelines: Run large-scale, LLM-driven workflows withwith support for distributed execution, asynchronous tasks, fine grained data versioning and efficient update .
• Declarative Unstructured Data Processing: Use state-of-the-art tools for parsing, labeling, chunking, and extraction to build agents able to transform business goals into dedicated data model and pipeline.
• End-to-End Trust: Build confidence with human-in-the-loop workflows that combine automated evaluation with expert feedback.

Our Culture

We’re building more than a product—we’re building a team grounded in shared values:

• Team: We succeed together. No egos, no silos—everyone steps in where needed, when needed, and we back each other fully.
• Integrity: We face facts. We value intellectual honesty and bold responsibility— but stay united especially when things get tough.
• Consistency: Greatness is sustained. We aim for predictable, long-term performance—not just one-off wins.
• Speed: We move quickly to learn from the real world—then improve even faster.
• Intensity: We operate at our best, push our limits, and improve constantly—delivering high value at high speed.

Meet the Team

Mat, CEO — PhD in physics turned serial Life Science DeepTech entrepreneur. Worked as a researcher, an analyst and consultant in regulated industries, providing deep expertise in complex document intelligence and document-business processes.

Louis-Philippe, COO — Nearly 20 years in data science, with a PhD in graph and operational research, scaling Dataiku’s professional services, customer success, and field engineering teams across the U.S. (from 0 to 100s) and Europe.

Max, CTO — Co-built Dataiku Cloud with Louis-Philippe as head of engineering, growing it 100+ customers and leading engineering and infrastructure teams. Previously occupied software and data scientist positions at early stage startups.