Human.Readable
Human.Readable provides an engine that turns opaque AI outputs into reviewable, cited, and defensible decisions for regulated teams in insurance, healthcare, and government. The system runs every document through a six-step loop—upload, automatic cosine-similarity matching, extraction, analysis, human review, and audit logging—while measuring its own uncertainty to flag moments requiring human oversight. It integrates as a layer under existing systems, avoiding rip-and-replace projects.
- Regulatory & Compliance Technology
- Artificial Intelligence
- Insurance Technology
- Data & Analytics
- Healthcare Technology
- Enterprise Software
- Software Only
- AI Agents
- Government Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Regulated teams in industries like insurance, healthcare, and government face a compliance dilemma: AI can accelerate routine document processing, but its outputs are often opaque and cannot withstand auditor, regulator, or court scrutiny. Without a complete evidence trail and human oversight, organizations cannot safely deploy AI on consequential judgments without risking legal and reputational exposure.
Solution
Human.Readable provides an engine that sits underneath an organization's existing systems picture, turning opaque AI outputs into reviewable, cited, and defensible decisions without requiring a rip-and-replace integration. Every document—whether a claim, clinical record, or permit application—runs through a standardized six-step loop: upload, automatic document-type matching via cosine-similarity, extraction, analysis, human review, and audit logging. The system explicitly measures its own uncertainty and flags those precise moments for human review, ensuring that a person is never removed from a consequential judgment. The resulting record is an evidence-backed audit trail that can be presented directly to auditors, regulators, or courts, proving both what the AI concluded and why, and that a human was accountable at each step.
Target Audience
Primary customers are compliance-heavy organizations in insurance, healthcare, and government sectors that process high volumes of documents and need to maintain human accountability, auditability, and regulatory defensibility when deploying AI.
Features
- Automatic document-type recognition using cosine-similarity comparison against previously seen document types, eliminating manual pre-selection
- Built-in uncertainty quantification that identifies and flags low-confidence outputs for mandatory human review
- Complete audit trail production for every step, enabling defensible records for auditors, regulators, and courts
- A layer architecture that integrates with existing workflow systems without requiring replacement projects or multi-year procurement cycles
- One engine adaptable across regulated verticals, including claims adjudication, clinical data verification, and permit review