Capabilities
Stratir builds the operating layer between buyer requirements, data, agents, analysts, and decisions. The result is faster intelligence work with source context still attached.
An abstract intelligence texture: fragmented signals, softened edges, and analyst-readable structure emerging from noise.
Capability stack
01
Unify selectors, registries, business records, open-source traces, identity signals, and dark-web context into one structured investigation surface.
Feynman workflows, CPF/CNPJ pivots, KYB registry paths, AML research, selector lookup.
02
Represent people, companies, selectors, documents, regions, and evidence as connected objects rather than flat search results.
Entity resolution, relationship mapping, case memory, source history.
03
Design investigations around geography, jurisdiction, language, and source availability, especially where data is fragmented or operationally uneven.
LATAM, Singapore, Hong Kong, trade finance, registry-aware workflows.
04
Support lower-noise research where controlled pivots, source handling, and sensitive workflows matter as much as speed.
Quiet-mode research, OPSEC posture, controlled collection discipline.
05
Use agents as an execution layer for research, engineering, enrichment, QA, and synthesis without losing human control.
Codex, Cursor, Hermes, Pi.dev, security review, local verification loops.
06
Turn intelligence methodology into structured education for analysts, investigators, and teams that need repeatable tradecraft.
OSINT, CTI, DarkNet, OPSEC, multilingual learning paths.
Intelligence cycle placement
Define the mission question, decision owner, sensitivity level, and acceptable evidence standard.
Acquire relevant public, registry, regional, and source-contextual data without indiscriminate scraping.
Normalize selectors, entities, dates, jurisdictions, documents, and source metadata into a usable model.
Correlate evidence, test hypotheses, preserve uncertainty, and keep the analyst in control.
Deliver briefs, evidence packages, graphs, and leads that another professional can inspect.
Mission fit
Financial crime, KYB, and entity research.
AML investigations and counterparty due diligence.
Threat intelligence and darknet monitoring.
Corporate security and vendor risk.
OPSEC-aware clandestine research.
AI-assisted security engineering.
Discuss a workflow