A layer that resolves entities, uncovers relationships and delivers operational context — for fraud, compliance and intelligence teams. Not another lookup platform. It's the infrastructure that was missing.
Who controls entity #4471?
Effective controller resolved across 3 layers. Context returned.
An email captured on a social network. Alone, it says nothing. Entity expands that fragment into real identity, verifiable attributes and the subject's inner circle — all reconnected across sources that never spoke to each other.
You don't ask. The layer already assembled the scenario, waiting to be consumed.
Fraud, corporate control, actor attribution — domains that don't speak to each other, except through the problem: the information exists, but it's scattered. Entity solves all three the same way.
“Are these seemingly unrelated accounts actually the same operation?”
Taken in isolation, every account passes any check. Entity looks at the space between them — shared attributes, recurring devices, patterns that only exist when viewed together.
“Who is actually in command of this structure?”
The formal answer lives in public records. The real one is distributed: cross-holdings, intermediaries, ties that only show up once consolidated. The layer collapses masks into an effective controller.
“Do these isolated events belong to the same actor?”
Each event, on its own, is noise. The layer crosses artifacts, reuse patterns and historical ties — many archived, waiting — and makes the events recognize each other.
Isolated records rarely explain a scenario.
Context does.
State changes of information. Entity is the layer where scattered data becomes entities, relationships and context — before any query happens.
Multiple sources stop being islands. Everything converges into a single layer.
Distributed records begin to recognize each other — attributes, entities, links.
Fragmented data turns into operational understanding — structured and readable.
Context flows to where the operation happens — UI, API, or agent via MCP.
The same infrastructure, three surfaces designed for different roles — those who investigate, those who integrate, those who orchestrate.
Visual exploration of consolidated entities, relationships and signals. Each entity opens the entire scenario — no need to ask what to ask.
Context integrated into pipelines, risk systems and internal platforms via REST. You send a partial identifier, the layer returns the resolved scenario.
// fragment → resolved scenario { "input": "m.almeida_92@social.io", "resolved": { "entity": "Marcelo R. Almeida", "confidence": 0.94, "sources": 11, "relations": 14, "network": ["sister", "father", "spouse"] } }
Agents and automations consume context with no adapter layer — just point at the infrastructure via MCP. The scenario is already assembled.
Resolve the email m.almeida_92@social.io and give me the inner circle.
Entity Marcelo R. Almeida resolved with confidence 94%. 3 direct ties returned — sister, father, spouse. 14 total relationships in the graph.
Entity is the infrastructure where scattered data becomes entities, relationships and signals — before your operation needs the answer.