Enterprise reasoning,
grounded.
AI agents fail on enterprise data because they don't understand it. Intelligible solves this.
Intelligible connects
your data to AI.
Intelligible learns the structure and meaning in your data and makes it persistent, auditable, and reusable. So every AI system that touches your data reasons from the same foundation.
See how it worksIntelligible helps organizations connect their data to frontier AI.
Organizations already have a deep understanding of their data, including thresholds, relationships, and patterns that guide decisions. But this knowledge is rarely accessible to AI systems, which instead rely on raw tables or prompts. Intelligible captures this understanding directly from data and represents it in a form that both humans and AI can use. The result is AI that reflects how your organization actually operates, rather than starting from scratch on every query.
Create a shared understanding of data across teams and systems
Different teams often interpret the same data differently, leading to conflicting analyses and inconsistent decisions. AI systems add another layer of inconsistency when they derive their own interpretations from raw data. Intelligible establishes a shared representation of how data behaves by capturing relationships, patterns, and definitions in a consistent format. This creates alignment across analysts, engineers, and AI systems so everyone is working from the same understanding.
Turn analyses into reusable building blocks
Most analyses are one-off efforts. Even when they produce valuable insights, those results are not preserved in a form that can be reused. Intelligible turns analyses into persistent components, such as segment definitions, thresholds, and model effects, that can be composed into new workflows. Instead of repeating the same work, teams build on prior results. Analysis accumulates over time.
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