BASILISK
AI-NATIVE INTELLIGENCE PLATFORM
Intelligence is bifurcated.
At the top end: enterprise platforms with eight-figure contracts and six-month deployments. Armies of integration engineers. Bespoke for each client. Powerful, but inaccessible to anyone outside the Fortune 500.
At the bottom end: browser tabs. An analyst copy-pasting between corporate registries, sanctions lists, blockchain explorers, and search engines. Manual correlation. Manual verification. Manual everything.
““Every analyst knows the feeling. Forty-seven browser tabs. Manual. Fragile. Doesn't scale.”
The consequences are real. Danske Bank. Wirecard. FTX. Billions lost not because the information wasn't available, but because no tool could connect it fast enough. The data existed across dozens of sources - public registries, filings, sanctions databases, blockchain records - but no system could autonomously assemble the picture.
Intelligence doesn't need more data. It needs autonomous reasoning - the ability to investigate, hypothesize, and follow leads across every available source. That requires a fundamentally different architecture.
Autonomous investigation on a temporal knowledge graph.
Temporal Knowledge Graph
Every fact is versioned. Every relationship carries its history. Query any point in time - not just what is true now, but what was true then, and when you learned it. The graph remembers what changed, who reported it, and how confident you should be.
Autonomous Investigation
AI that reasons like an analyst. Scopes problems. Forms competing hypotheses. Gathers evidence across public and private sources. Evaluates source reliability. Follows the strongest leads. Knows when to stop. Generates analyst-grade dossiers with full evidence chains.
Open Intelligence + Private Data
Public sources - corporate registries, sanctions lists, court records, news, blockchain - form the foundation. Your proprietary data layers on top: encrypted, isolated, entity-resolved against the open graph. Provenance scopes never mix.
Investigation is a loop, not a pipeline.
Not a database you query. An intelligence analyst that investigates. Each pass through the loop deepens understanding, tests hypotheses, and follows the strongest leads.
Scope
Define boundaries. Target entity, depth, jurisdictions, time range.
Map
Survey existing knowledge. What does the graph already know?
Identify Gaps
What should we know but don't? Missing directors, temporal holes, jurisdictional blind spots.
Hypothesize
Generate testable theories. Shell company cluster? Ownership obfuscation? Sanctions evasion?
Seek Evidence
Query across sources. Entity resolution. Graph enrichment. Cross-reference.
Evaluate
Score evidence against hypotheses. Weigh source reliability. Update confidence.
Follow Leads
New entities and connections. Score, prioritize, and follow the strongest leads.
Report
Structured dossier. Network diagram, timeline, risk assessment, evidence chain.
““The loop continues until confidence is reached or diminishing returns set in.”
The intelligence market has a structural gap. Enterprise incumbents are powerful but inaccessible. Point solutions solve one problem. AI search tools produce ephemeral reports, not persistent knowledge.
Four layers. Each independently valuable. Together, compound intelligence.
Data Ingestion
Connectors to public registries, sanctions lists, court records, news sources, blockchain explorers, and more. Private data plugs in through file upload and database connections. A unified extraction pipeline normalizes everything into structured entities and relationships.
Knowledge Graph
A temporal, entity-resolved graph where every fact carries provenance. Not just what is true - when it became true, when you learned it, and how confident you are. Cross-source entity resolution ensures the same real-world entity isn't fragmented across the graph.
Reasoning Engine
Hypothesis generation, evidence evaluation, pattern detection, and narrative generation. The engine forms competing theories, gathers evidence for and against each, and follows the strongest leads. It produces structured dossiers with full evidence chains.
Interfaces
A REST API for programmatic access. Natural language queries for ad-hoc investigation. A visual graph explorer for navigating entity networks. Every interface is a window into the same underlying intelligence.
Research & Architecture
- Comprehensive documentation suite - 15 architecture docs
- Technology evaluation and proof-of-concepts
- Entity resolution pipeline design
- Investigation engine cognitive loop specification
Core Platform
- Investigation engine - the full cognitive loop
- Temporal knowledge graph with provenance tracking
- Initial public data connectors - registries, sanctions, web
- REST API and natural language query interface
Scale
- Expanded data sources - blockchain, court records, news
- Team workspaces and collaboration features
- Cloud deployment with managed infrastructure
- Visual graph explorer and timeline navigation
Enterprise
- Compliance workflow integration
- Advanced pattern detection and anomaly analysis
- Enterprise security and access controls
- Private data connectors - databases, CRM, internal systems
Defense & Beyond
- Sovereign deployment - run in your own environment
- Advanced investigation capabilities
- Cross-platform intelligence integration
- Next-generation reasoning and analysis