Infrastructure for structured AI reasoning.
Intelligible builds tools that help AI systems work more effectively with structured data. Our platform enables datasets, models, and applications to interact through reusable semantic representations rather than raw data alone.
The goal is simple: make it easier for AI systems and humans to reason about data together.
Most AI systems today operate directly on raw inputs such as:
- CSV files
- database tables
- logs
- documents
This often forces each system to repeatedly reinterpret the same data.
Intelligible develops infrastructure that allows data understanding to be captured, reused, and shared across applications.
This enables more reliable and efficient AI-driven workflows.
Summand is Intelligible’s platform for building and managing reusable data understanding.
It helps teams connect structured data to AI systems while maintaining transparency, reproducibility, and collaboration.
For help setting your team up, contact solutions@intelligible.ai
We believe the next generation of AI systems will rely on:
- reusable knowledge derived from data
- interpretable reasoning structures
- collaboration between humans and AI systems
Intelligible is building the infrastructure that supports these capabilities.
Please contact: security@intelligible.ai
Security issues should not be reported through GitHub issues.