Use cases

Verifiable knowledge, for every kind of knowledge.

The same infrastructure — from one person's library to an organization's memory. What changes is what you connect.

individual

Personal knowledge

Papers, books, highlights, notes, videos, ideas — a life archive that your AI can actually use. Ask your own library anything.

files · notes · web · audio → Verifiable Knowledge → your AI
research

Research knowledge

Sources, citations and evidence that changes. Reviews that distinguish what is supported from what is repeated — and notice when the literature moves.

papers · datasets · feeds → Verifiable Knowledge → analysis
professional

Professional knowledge

Clients, projects, meetings, documents, decisions — expertise that compounds instead of scattering across folders.

documents · email · notes → Verifiable Knowledge → answers with sources
team

Team knowledge

Shared knowledge, policies, onboarding, institutional memory that survives turnover. Everyone asks the same knowledge base.

shared sources → Verifiable Knowledge → whole team + agents
developer

Developer knowledge

Code, docs, issues, APIs, operational knowledge — persistent context for agents and copilots, served over API (MCP planned).

repos · docs · tickets → Verifiable Knowledge → agents & apps
enterprise

Enterprise knowledge

Organization-wide sources, permissions, governance and audit. Agents that can tell what is current, authoritative or conflicting. Advanced controls planned.

systems · databases · policies → Verifiable Knowledge → governed AI
Industries

Where provable knowledge matters most.

FinancialLegalHealthcareInsuranceManufacturingGovernmentResearchMediaEducation

Regulated and evidence-heavy domains are where “where did this come from?” is not rhetorical. Talk to us about a pilot →

Build AI systems that know where every answer came from.

Free sandbox — real API, sample corpus, verify a real certificate. Buy credits when it earns it.