About
SemanticGaps
SemanticGaps builds CAINC, a complex epistemic system for turning institutional document bodies into living Semantic Terrains. These terrains make priorities, risk, entities, boundaries, and change visible as navigable structure.
SemanticGaps builds and maintains CAINC, a complex epistemic system for taking topological readings of large institutional document corpora. Those readings are rendered as Semantic Terrains: computed, navigable maps that reveal the structural shape of how federal agencies, regulatory bodies, courts, and other institutions communicate.
We commercialize Semantic Terrain through named terrain subscriptions, custom terrain builds, and scoped analytical deep dives. Our first public terrain covers the DOJ corpus and is free to explore.
We serve government analysts, investigative journalists, white-collar defense attorneys, compliance officers, institutional investors, and M&A due diligence teams. Our focus is on domains where the stakes are high and the document bodies are large: government, law, news, finance, medicine, and defense.
The category opportunity is recurring corpus intelligence: every high-value institutional corpus can become a maintained terrain with ongoing movement, lineage, and evidence-backed interpretation.
Founded in Austin, TX. Operating worldwide.
What we do
We build topological pipelines that ingest institutional corpora and compute their structural geography. Topics cluster into peaks. Boundaries between them form contours. Entities are located precisely within the terrain. The output is a living reading that updates as the corpus grows.
Access comes through Terrain Subscriptions: continuous access to a named institutional corpus, updated on a defined cadence. We also build Custom Terrains for organizations that need a specific body of documents mapped, and offer Deep Dives for scoped analytical engagements using terrain data.
Each terrain we build compounds in value over time. The corpus grows. The terrain captures its movement. The longer it runs, the richer the structural record becomes. This is not a report that goes stale. It is a reading that gets sharper as the corpus deepens.
The defensibility is structural. The topology pipeline is proprietary, not a wrapper on commodity embeddings. Every terrain update makes the corpus more valuable. And once a subscriber navigates their domain through terrain, switching cost is structural, not contractual.
Every institutional corpus is a potential terrain. Government, law, medicine, finance, defense, news. The methodology is corpus-agnostic. The value compounds with time. One terrain proves the category. Many terrains define it.
Approach
Topology
We compute topological structure over high-dimensional embedding spaces to identify the stable features of how institutional language organizes. Peaks, passes, and contours emerge from the mathematics, not from analyst intuition or manual tagging.
Semantics
Domain corpora are encoded geometrically. Regulatory language becomes a manifold. Enforcement patterns become terrain features. The meaning of the corpus is preserved in its structure, not reduced to keywords or summaries.
Production systems
Semantic Terrains run as production pipelines. Continuous ingestion, automated topological computation, and terrain updates on a defined cadence. Each terrain compounds in value as the live corpus grows.