AI that reasons over your data
AI systems struggle with structured data.
Sending raw tables to models is expensive and inefficient. Writing custom pipelines is brittle. Embedding data loses structure. As a result, most AI systems generate answers without actually understanding the data.
Intelligible introduces a new layer:
Datasets → Components → AI reasoning
By reasoning over components instead of raw Datasets, AI systems that use Intelligible are grounded and give reliable, accurate answers.
Sending raw tables to models is expensive and inefficient. Writing custom pipelines is brittle. Embedding data loses structure. As a result, most AI systems generate answers without actually understanding the data.
Intelligible introduces a new layer:
Datasets → Components → AI reasoning
By reasoning over components instead of raw Datasets, AI systems that use Intelligible are grounded and give reliable, accurate answers.
Why it matters
An AI system you can trust, from raw data to real decisions.
Traditional approaches force a tradeoff:
No context → fast but meaningless
Raw data → accurate but expensive
Intelligible gives the better option of component-based reasoning. Components retain the meaning of raw data while dramatically reducing token usage. This enables AI systems to reason with structure, not just text.
Transparency you can trust
Built on an open foundation.
Intelligible is built on OpenDataComponents, an open standard for representing structured facts and relationships derived from data.AI systems are typically forced to operate on raw tables or unstructured text. OpenDataComponents introduces a new alternative: a structured representation of the patterns in a dataset that models can reason over directly.This work builds on earlier efforts like InterpretML, which made machine learning models more interpretable. OpenDataComponents extends that idea by structuring the data itself, not just explaining model behavior.Summand turns this foundation into a working system. It generates components from real datasets and makes them immediately usable in AI workflows.
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Get started
Go from data to grounded AI in minutes.
01
Connect your data. Use Intelligible Summand's visual interface to easily pull in your data -- no matter if it lives as messy CSVs or XLSX exports, or clean hyperscalar resources.
02
Intelligible automatically generates components that make your data interpretable, explainable, and ready for AI. You can now use an AI interface that understands your data.
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