Automated data science, built on durable understanding.
Give downstream AI durable understanding of your data.
Enterprise data lives in tables—cohorts, distributions, joins, and assumptions—but most AI systems reason over it ephemerally at query time. Dataset-level structure is repeatedly rediscovered, inconsistently handled, or silently lost. The result is brittle reasoning, poor auditability, and systems that don’t reliably improve as data, models, or workflows change.
Intelligible captures dataset-level semantics such as:
- cohorts and population slices
- distributions, trends, and contrasts
- model effects, expectations, and constraints
These Intelligible components are persistent, auditable, and reusable.
With durable understanding, audits become reproducible, data drift is detected automatically, and model behavior is explainable. The outcome is an AI system that improves as data accumulate and clearly displays what it finds.

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We bridge the gap between
your data and AI.
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An AI system you can trust, from raw data to real decisions
Structured-data AI, ready
to deploy
into interpretable AI agents — securely
and on-prem if needed.
Insight engines that
explain themselves
black boxes, no fine-tuning.
and on-prem if needed.
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Integration with AI
systems
Intelligible Connect can stand alone
to connect your data to your AI.
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Real results, fast
use SurpriseFinder and ReAdmit
Insights to uncover ways to
improve patient outcomes.
Stay in the loop.
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