Your GenAI-Ready Knowledge Warehouse
Automate and scale unstructured data processing to transform raw information into GenAI-ready knowledge.
Reimagining
Collective Intelligence
For centuries, our richest knowledge has lived in unstructured data - documents, diagrams, and conversations—full of nuance and tacit insight that are difficult to share at scale. LLMs can read it, but to make it reliable, shareable, and auditable for agentic automation we still need a clear framework grounded in business logic and context.
Structure is the vital bridge between human nuance and AI automation. More than just clarity, it lays the groundwork for transparent, aligned, and trusted collaboration between human and AI agents. But how do we capture expert reasoning and behavior and translate it into structured data, so that AI agents can operate with the same rigor and accountability as humans?
Humans don’t think in one format. We move fluidly between semantics for nuance, structure for clarity, and graphs for context. Our vision is to give AI agents that same fluency—to help them reason, retrieve, and act across formats like we do.
What we now believe
Structuring
requires iterations
Turning unstructured information into structured knowledge—tailored to each use case and context—requires an ongoing cycle of extraction, modeling, and retrieval. This cycle must be tested, measured, compared, and improved over time.
Experts
Lead the Loop
Structuring data isn't just a technical task. It's about capturing how experts interpret and apply information in real workflows. Much of this logic is implicit. That's why subject-matter experts must move from the sidelines to the center — actively shaping and validating how LLMs behave just as they would train a new team member.
Bridge
Experts and Builders
This demands a shared environment where experts, developers, and AI agents collaborate in real time—testing, refining, and aligning until automation reliably mirrors expert behavior.
We call it the
Knowledge Warehouse
Design. Test. Build. Knowledge.
A cloud‑native warehouse for teams to build, test, and measure how unstructured information is modeled and structured for retrieval.
Flexible. Yet grounded
A warehouse built to evolve — static schemas and rigid pipelines can’t keep up with living knowledge.
Versioned. Auditable. Trustworthy.
Nothing gets lost in translation. Every insight is traceable, every output accountable. That's how we build trust.
We're not chasing AGI.
We're building a new foundation where humans and agents learn from each other and scale collective intelligence with the power of AI.
Let's unleash collective intelligence — together.
Mat, LPK, Max
What We’re Building
Unified Data Model
A single representation where structure brings precision, semantics add meaning, and links power reasoning.
Vizualization
You can’t debug what you can’t see. Follow data as it flows across formats—documents, tables, graphs, vectors.
Consistency
You still want a warehouse—easy to read and write, update, govern, and scale across formats with simplicity
Retrieval
You reason with structure, semantics, and context. Your queries should too—through one unified API.
Why come to us ?
Beyond Naive RAG
You want more than naive RAG. You want to power your genAI with structure, context, and connexions.
Fast Iteration Loop
You're building blind. You want to explore and debug across data types—without spinning up infra.
One Warehouse, Not Three
You're juggling SQL, graphs, and vectors—struggling to scale, test, and trust your retrieval logic.
Capture Expert Insight
You're mapping workflows, ontologies, and tribal knowledge stuck in heads and docs.
Ready to unlock
your collective intelligence?
Try Clarifeye
and see what
your knowledge
can do.
• Structure the unstructured.
• Surface tacit knowledge.
• Empower your organization.