In late 2023, we began transforming Enigma’s data and machine learning infrastructure to capture the complexity of the U.S. business landscape in far greater detail. Today, we’re proud to introduce the new version of Enigma, graph-model-1, an evolved entity resolution framework and data model powering Enigma that maps brands, legal entities, operating locations, and the people who power them—all woven together in a 2.4B-node knowledge graph.
Here, a “business” isn’t just a single branch or registration record; it’s the sum of everything we know: from its brand identity and legal frameworks to the physical footprints where it operates, the individuals who hold key roles or ownership stakes, and so much more.
graph-model-1 is the most comprehensive, accurate, and expressive business data set
- Enhanced entity linking & accuracy: graph-model-1 drastically reduces inaccurate entity resolution (false positives and negatives)—even in complex entity relationship scenarios where traditional systems often fail.
- Expanded data coverage: now covering 49.8M brands and operating locations, 98M registered entities, and linking $7.1T in annual card revenues, we capture newly formed or fast-evolving businesses and operational changes in near real-time.
- Brand entity embeddings for semantic filtering: identify and group businesses based on nuanced brand relationships, enabling more intuitive queries and segmentation across franchise networks or complex corporate structures.
what you can do with graph-model-1
- Target franchise networks: Pinpoint franchisor–franchisee relationships by focusing on a parent brand, then discover affiliated locations or legal entities.
- Discover emerging businesses: surface newly established companies using minimal input—such as a partial brand name or approximate location—and follow their trajectory as they evolve.
- Monitor operational footprints: combine location intelligence with card revenue data to detect expansions, closures, or operational shifts—ideal for market analysis and financial forecasting.
- Segment by behavioral insights: filter entities based on semantic understanding of their online presence, transaction patterns, customer feedback, or other key indicators—without relying on rigid, predefined search parameters.
research preview
We’re currently onboarding close partners and technical collaborators to validate graph-model-1’s capabilities. Over the coming weeks, we’ll share more about the additional features we’re rolling out—and demonstrate how we can unlock new levels of insight for the hungry algorithms that drive decisions off of Enigma. If you’re interested in applying graph-model-1 to your business, our waitlist is now open and invites will be rolling out soon.
