# Clarifeye

> Clarifeye is AI-native infrastructure for process & knowledge. It turns the undocumented into context — using an AI interview agent (Clara) to capture the tacit knowledge of an organization's best people and structure it into a governed knowledge layer that AI tools and agents can reason over. SOC2 Type II compliant, with zero data training.

## Pages

- [Product](https://www.clarifeye.ai/): What Clarifeye does — capture the unwritten knowledge of your experts through AI-led interviews.
- [Technology](https://www.clarifeye.ai/technology): How the platform works under the hood.
- [Pricing](https://www.clarifeye.ai/pricing): Plans and pricing.
- [Contact us](https://www.clarifeye.ai/contact-us): Get in touch with the team.

## Blog

- [Skill-First AI Is a Local Max: The Goal Is the Global Max](https://www.clarifeye.ai/blog/2026-07-23-skill-first-local-maximum): A knowledge store is a strategy. You build AI skills from it, not the other way around. Skip the knowledge store, and every skill optimizes against its own local peak, with no way to know if it's helping the real strategy or working against it.
- [Skill Island: The Knowledge That Never Leaves the Harness](https://www.clarifeye.ai/blog/2026-07-22-harnessed): OpenAI just adopted the same open Skills standard Anthropic built. That doesn't mean a skill behaves the same in a new harness, only that the file does.
- [The Experts Are Retiring, and Nobody Captured What They Know](https://www.clarifeye.ai/blog/2026-07-20-experts-retiring-nobody-captured-what-they-know): Senior experts are retiring faster than companies can replace their judgment. Treating this as HR's problem instead of an AI-context gap is why AI keeps failing on exactly the exceptions those experts used to catch.
- [Why Knowledge Capture Fails, and How We Rebuilt Our Agent to Fix It](https://www.clarifeye.ai/blog/2026-06-10-why-knowledge-capture-fails): Forms capture what people do, not why. General-purpose agents rarely know what to ask next. So we rebuilt Clara to interview experts like a consultant, and to make knowledge capture a continuous team process.
- [The Rework Problem Your MES Was Never Built to Solve](https://www.clarifeye.ai/blog/2026-03-06-the-rework-problem-your-mes-was-never-built-to-solve): In complex assembly environments, rework resolution often takes 60 to 90 minutes because answers are buried across disconnected documents and tacit expertise.
- [From Data as Oil to Logic as Gold: The Next Enterprise Asset](https://www.clarifeye.ai/blog/2026-02-20-from-data-as-oil-to-logic-as-gold): In the agentic era, enterprise advantage comes from operationalizing expert judgment as a living, governable system of work rather than relying on document retrieval alone.
- [Clarifeye Is Now Available on AWS Marketplace](https://www.clarifeye.ai/blog/2025-12-21-clarifeye-now-available-on-aws-marketplace): We're thrilled to announce that Clarifeye is now available on the AWS Marketplace.
- [Why Legal AI Needs Your Reasoning, Not Just Your Documents](https://www.clarifeye.ai/blog/2025-12-18-why-legal-ai-needs-your-reasoning): Generic legal AI retrieves text based on semantic similarity. Clarifeye retrieves your reasoning. We benchmarked our approach against LegalBench-RAG and achieved 2-3x better precision while needing a fraction of the retrieval volume.
- [The Missing Layer in Enterprise AI: Reasoning](https://www.clarifeye.ai/blog/2025-12-04-missing-layer-enterprise-ai-reasoning): Every organization today is experimenting with AI. Yet for most professionals, these systems still feel strangely hollow. They respond quickly but rarely correctly. The reason is simple: today's enterprise AI can read your documents, but it doesn't know how you think.
- [From Regulatory Expertise to Virtual Teammate: How Healthcare Specialists Encode Their Reasoning in AI](https://www.clarifeye.ai/blog/2025-12-04-regulatory-expertise-to-virtual-teammate): When regulations multiply faster than teams can interpret them, compliance becomes a reasoning challenge. Discover how healthcare specialists build virtual teammates that capture their decision-making logic and apply it on demand.
- [We just closed €4M for Clarifeye with EQT Ventures!](https://www.clarifeye.ai/blog/2025-10-01-we-just-closed-4m): We all had that first ChatGPT moment — the glimpse of what the future could be. Workers everywhere are already using GenAI for small tasks, and companies rushed to pilot larger deployments. But reality hit: a recent MIT study found that 95% of enterprise GenAI pilots failed to reach production.