IPable is building patent intelligence at the level of individual claim limitations rather than at the level of whole patents.

Patent claims are made of features. Steps, components, conditions, the things the claim actually covers. Most of the analytical work patent professionals do is really feature-level work. Novelty searches. Freedom-to-operate analysis. Infringement assessment. Portfolio benchmarking. But the tools available today mostly operate at the patent level. The feature-level decomposition gets done by hand, by individual practitioners, every single time.

The IPable corpus extracts those features once and indexes them across millions of patents. The result is exposed through an API and an MCP-native interface. The same underlying infrastructure supports prior art search at limitation level, portfolio overlap analysis, rarity scoring, and other queries that are difficult to run efficiently against per-patent representations.

Based in Heilbronn, Germany

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