Core Intelligence Engine

Every insight is traceable back to the source evidence that produced it

LLM Extraction with Evidence Grounding

Large language models extract entities, relationships, and intent from unstructured evidence. Every extraction is grounded — linked back to the exact source passage, page, or record it came from. No hallucinated connections. Investigators can verify any finding against the original material.

Graph-Based Correlation

Extracted entities are mapped into a knowledge graph that reveals hidden relationships across evidence types. Temporal matching links communications to transactions. Community detection algorithms surface organizational structures, key players, and coordination patterns that linear review cannot find.

Semantic Search Across Case Data

Search by meaning, not just keywords. Ask questions in natural language and retrieve relevant passages across CDRs, transcripts, financial records, and documents simultaneously. The search engine understands investigative context — "who received money after the call" returns results across evidence types.

Format-Agnostic Ingestion

Upload any evidence format — CDRs, bank statements, social media takeouts, device extractions, scanned documents, photos, chat exports, audio transcripts. The platform auto-detects structure, normalizes data, and extracts entities without manual configuration or format-specific setup.

Intelligence Capabilities

From raw evidence to actionable investigative picture

Conversational Case Intelligence

Chat with your case data in natural language. Ask questions, explore connections, and receive context-aware answers drawn from correlations across all ingested evidence. Set Case Directives to tell the AI what matters — suspect names, transaction patterns, specific leads — and every analysis is shaped by those priorities.

Multi-Language & Slang Detection

Extraction models are trained on real-world criminal communications patterns including coded language, street slang, and obfuscation techniques. Supports multiple languages with automatic detection — no pre-configuration required.

Temporal Pattern Discovery

Automatically discovers meaningful time relationships between events across data sources — linking communications to financial actions, detecting coordinated patterns, and revealing cause-and-effect sequences investigators would otherwise miss.

Entity Resolution Across Sources

The same person appears differently across phone records, bank statements, and chat exports. SentraLink resolves entities across formats — matching phone numbers, names, aliases, and account identifiers into unified profiles automatically.

Financial Flow Mapping

Track money movement across banking systems and cryptocurrency ledgers. Follow funds through layering operations, identify beneficial owners behind shell companies, and flag mule accounts — all correlated with communications data.

Court-Ready Evidence Packaging

Findings are correlated to source data with full traceability. Chain of custody protection, cryptographic audit logs, and exhibit authenticity certification ensure judicial-grade reports meet evidentiary standards.

Built for Law Enforcement Infrastructure

Secure, compliant, and integrated with existing systems

On-Premise & Air-Gapped

Runs entirely within your infrastructure. No cloud dependencies. All AI models run locally — no external API calls. Compatible with air-gapped and classified environments.

Enterprise Integration

Single sign-on with existing authentication. Active Directory support. Direct file system access. Works with your current case management systems.

GPU-Accelerated Processing

NVIDIA GPU support for LLM inference and graph processing. Process large datasets faster. Real-time entity extraction from communications and documents at scale.

The SentraLink Engine