The Infrastructure
for Intelligible AI

Intelligible introduces a new layer in the AI stack:
‍Data → Components → AI systems

The data layer contains raw structured datasets.
The component layer extracts and stores reusable structure.
The AI layer consumes components during reasoning.

This decouples data decisions from AI system decisions.

Connect

Bring in your data from files, databases, or warehouses.

Components

Intelligible automatically extracts structured facts and relationships from your data and institutional knowledge.

AI Reasoning

Use components to ground and improve AI system outputs.

The Benefitsof component-based reasoning

01

Model inter-operability: Components are model-agnostic, so you can easily switch between LLM vendors.

02

Efficiency: Components reduce the amount of tokens used by AI systems, cutting your costs.

03

Production usage: components can be reused across workflows, and updated as data changes.

04

Transparency: All components are human-interpretable, so AI decisions are auditable.

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