The infrastructure that turns conversations and documents into AI-ready context.

ChatGPT, Claude, and Copilot are powerful AI models, and increasingly, they're the engine inside agent harnesses: automated workflows, virtual assistants, and AI co-workers that run real business processes. But a harness is only as good as the knowledge it runs on. Without an accurate, up-to-date picture of how work actually gets done, agents hallucinate, miss context, or behave inconsistently across teams.

Clarifeye is the knowledge layer that makes harnesses reliable. By capturing how your people really work, through Clara's interviews and document reading, and keeping that knowledge current through a continuous feedback loop, Clarifeye gives every harness the domain grounding it needs to perform. One governed knowledge store. Every model, every agent, every tool.

RAG indexes what already exists in your documents. Clarifeye also captures what isn't written down, the implicit knowledge in your people's heads, through Clara's guided interviews. The resulting structure tells the pipeline how to parse, chunk, tag, and retrieve, so AI navigates your sources the way a domain expert would, not the way a generic embedding pipeline guesses.

Clara is an advanced AI agent, purpose-built for interviewing people on complex topics. She reads uploaded documents, asks follow-up questions, and surfaces gaps within a document or across multiple experts. She comes with specialist tools, document skills, and a continuous discovery loop. We invest continuously in her capabilities. Interview content is never used for model training, and the knowledge stays entirely yours.

Yes. Clara can interview multiple subject-matter experts, incorporate conversations across teams, and reconcile different points of view into a shared, versioned knowledge layer. Everyone contributes. Every change is tracked.

Yes. The same governed knowledge store can be connected to Claude, ChatGPT, Copilot, Gemini, Databricks, and any MCP-compatible client. You build once, distribute everywhere, no rebuilding the same knowledge in each tool. Artifacts already produced can also be reused for other knowledge stores.

Your knowledge lives in open formats: Markdown, JSON, and standard schemas. Briefs, playbooks, corpus, mental maps, all readable without Clarifeye. Explicit and implicit knowledge are versioned and linked. You can leave at any time and take everything with you.

Yes. Every change is tracked. Knowledge data, skills, and tools are fully versioned. Teams can roll back at any time, and choose between auto-evolution for fast-moving use cases or manual approval gates for critical ones. Every change is validated against prior interactions before promotion, so regressions are caught before users see them.

Yes: images, flowcharts, diagrams, tabular content. PDF, PPT, .md, .docx, scanned or not. We continuously improve parsing capabilities and use specialist enrichment techniques to contextualize data reading based on knowledge already captured by Clara.

EU and US data localisation. SOC 2 Type II. Zero training on customer data. PII detection and redaction available at the ingestion layer. A full list of subprocessors is available in our DPA (available upon request). For sensitive workloads, the Custom plan includes VPC deployment.

VPC deployment is available on the Custom plan, with Clarifeye running inside your AWS or GCP environment, fully managed by us. On-premise deployment can be discussed and comes with dedicated maintenance support (priced additionally).

Clarifeye is compatible with all major providers: Anthropic (Claude), OpenAI (GPT), Google (Gemini), and Mistral. Logic is portable, swap models without rebuilding. BYOK options are available from the Scale plan.