Your experts can't scale. Their knowledge can.

Every business has critical expertise locked in two places. In the heads of a handful of key people, and scattered across support tickets, documents, presentations, forums, and internal communications. We pull it all together, build it into AI systems, and make it available to anyone who needs it, 24/7.

The problem

Your best people know things that aren't written down anywhere. The buyer who reads the market by instinct. The DBA who knows exactly which configuration fixes the problem. The engineer who remembers why that system was designed that way ten years ago.

And the knowledge that is written down? It's everywhere. Buried in support tickets. Spread across PowerPoints. Locked in discussion forums, internal emails, documentation that nobody can find. Fragmented, unsearchable, disconnected.

Traditional approaches don't solve either problem. Wikis go stale. Training manuals capture procedures, not judgment. Knowledge management systems become dumping grounds that nobody trusts.

AI can now do something about this. But only if the knowledge is captured properly, from every source, and the retrieval is good enough to be trusted.

The hardest part is the knowledge that isn't written down. That's why we built something specifically for it.

The agentic expert interview platform

This is the engine at the heart of Knowledge AI. An autonomous AI agent that interviews your experts, and does it so well they actually enjoy the process.

The platform conducts in-depth, natural conversations with your specialists. It doesn't follow a rigid script. It listens, follows narrative threads, asks genuinely incisive follow-up questions, and adapts in real time to draw out the knowledge that matters most. Not just what your experts know, but how they think, what signals they watch for, and what experience has taught them that no documentation captures.

Experts participate at their own pace and in their own time. No scheduling conflicts. No rushed sessions. They engage when they're ready, and the depth of conversation reflects it.

The output isn't a raw transcript. The platform packages captured knowledge perfectly for ingestion into our agentic RAG pipeline. Structured, contextualised, and ready to power an expert system.

What experts say about it

"That was cool as crap."

"Almost scary how natural that was."

"That was genuinely enjoyable."

This isn't a form to fill in. It's a conversation that people want to have. And that matters, because engaged experts share deeper, more valuable knowledge.

Knowledge from everywhere

The interview platform captures what isn't written down. But your organisation is also full of knowledge that is written down, just scattered and inaccessible. We ingest that too.

Support tickets. PowerPoints. Technical documentation. Discussion forums. Internal communications. Training materials. Wherever knowledge lives in your organisation, we pull it in, convert it into semantically coherent chunks, and feed it into the same agentic RAG pipeline.

This means your expert system doesn't just know what your specialists shared in interviews. It knows everything your organisation knows, drawn from every source, unified and retrievable.

From knowledge to expert system

The interview platform captures undocumented expertise. The ingestion pipeline captures everything else. Here's how it all becomes an expert system.

Refine

AI cleans, structures, and preserves traceability

Retrieve

Hybrid search finds the most relevant knowledge

Deliver

Expert-level answers through a conversational interface

Refine

All ingested knowledge goes through our AI pipeline. The content is cleaned, structured, and converted into semantically coherent chunks that preserve meaning, context, and traceability back to the original source. Nothing is embellished or invented. Every piece of knowledge traces to the expert or document it came from.

Retrieve

Our hybrid retrieval combines vector search for semantic understanding, lexical search for precise terminology, and structured queries for factual data. A fusion layer combines the results to find the most relevant knowledge for any question. Your expert system handles nuance, understands context, and reasons about what you're actually asking.

Deliver

Deployed as a production AI service. Your team gets expert-level answers through a conversational interface, grounded in real expertise and, when combined with our data platform, live operational data. This isn't a chatbot. It's an expert system that thinks like your best people.

What makes this different

It doesn't stop at documents.

Most RAG systems index documents and hope for the best. We go further. We ingest knowledge from across your entire organisation, support tickets, presentations, forums, internal communications, everything. And then our agentic interview platform captures what none of those documents contain, the judgment, the intuition, the hard-won lessons that live in your experts' heads.

Combined with live data.

Our Knowledge AI infrastructure works alongside our data platform. Your expert system doesn't just know the documentation, it can see your actual operational data. A DBA expert system that knows the manuals AND can see your database performance. A buying expert system that knows the market AND can see live futures prices.

Gets smarter over time.

When your expert system encounters a question it can't answer well, it doesn't just say "I don't know." It identifies the gap and automatically reaches out to the right expert through the interview platform's API, requesting a targeted conversation to fill that specific knowledge gap. The expert engages in their own time, the new knowledge flows back into the system, and the gap closes. New documents and data sources are ingested continuously too. The result is an expert system that actively grows itself.

Where this applies

Let's talk about the expertise you need to scale

Every business has knowledge that's too valuable to leave locked in a few people's heads. Tell us about yours.

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