Criminal networks,
decoded by agents.
Intel-Forge ingests CCTV, FIRs, CDRs and financial logs — fuses them into a live knowledge graph, and answers investigator questions with evidence-backed, cited leads. Every claim carries its receipt.
The Evidence Desk.
Drop a CCTV still, footage, or a scanned FIR — the Visual, NLP and Validation agents pick it up, extract what matters, and stamp every claim with a deterministic citation. All processing here is simulated for the prototype.
Drop evidence here
or click to browse — images get object detection, documents get OCR + NER, videos get frame scanning.
Watch the agent network think.
A query enters the Orchestrator, gets decomposed, and fans out to specialist agents. Each one self-verifies before the Citation agent lets an answer through.
Orchestrator
Telecom
Financial
Visual
Text & NLP
Graph Sci.
Citation
Weeks of cross-referencing,
compressed to minutes.
Investigators drown in siloed evidence. Intel-Forge fuses it into one graph and reasons across all of it — with humans in the loop at every threshold.
GraphRAG reasoning
Multi-hop traversal over Neo4j + Qdrant — answers come from the fused graph, not guesswork.
Zero-trust citations
Every claim carries a Neo4j node ID, FIR line or CCTV timestamp. Unverified claims are blocked before they reach the officer.
Human-in-the-loop
Merges and edges under 85% confidence land in a quarantine queue — an officer approves before anything touches the master graph.
What-If overlays
"Assume this number belongs to Suspect X." Hypotheticals run on ephemeral graph branches — the master DB is never touched.
Cross-lingual NER
Hindi, regional scripts and degraded scans resolve into one unified English entity graph — aliases included.
Immutable audit trail
Every agent action is hash-chained. Tamper with one entry and the whole chain screams — built for court admissibility.