Defense-Grade Intelligence Platform

See the Threat
Before It Materializes

Ajna Chakra fuses multi-source intelligence into a unified knowledge graph, applies AI-driven analysis across all domains, and delivers actionable threat assessments in real time.

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5
Intel Connectors
80+
API Endpoints
18
Analysis Modules
60s
OODA Cycle
<1s
Graph Latency

Closed-Loop Intelligence Cycle

Data flows from ingestion through analysis to action — insights from simulations feed back, creating a self-reinforcing system.

Phase 01

Ingest

Pluggable connectors pull from ADIZ, AIS, OSINT, CTI, and satellite sources.

Redis StreamsAPScheduler
Phase 02

Enrich

LLM entity extraction, severity classification, dedup via fingerprint + spatial + fuzzy matching.

Claude / OllamaPostGIS
Phase 03

Analyze

Knowledge graph traversal, pattern detection, threat scoring, and ABI analysis.

Apache AGETimescaleDB
Phase 04

Decide

OODA loop evaluates threats, triggers alerts, generates briefings, validates plans.

OODA LoopWebSocket
Phase 05

Simulate

Wargame and info-war simulations extract insights fed back into the knowledge graph.

Monte CarloMulti-Agent

Wargame the Future Before It Arrives

Monte Carlo combat simulation, information warfare modeling, and narrative dominance prediction — all running in parallel.

WARGAME ENGINE — MONTE CARLO × 1,000 ITERATIONS
Force Attrition Curve
Narrative Dominance — Info Warfare Simulation
Defender Neutral Adversary
68%
Blue Win
24%
Red Win
48h
Duration
95%
CI

Production-Grade Stack

Battle-tested open source. No vendor lock-in, no proprietary protocols.

Compute

  • Python 3.12+ async
  • FastAPI
  • SQLAlchemy 2.0 async
  • Docker

Data

  • PostgreSQL 16 + Apache AGE
  • PostGIS
  • TimescaleDB
  • Redis 7 Streams

Intelligence

  • Claude API
  • Ollama (air-gap)
  • Qwen 2.5 14B
  • LLaMA 3.1 8B

Frontend

  • React 18 + TypeScript
  • MapLibre GL JS
  • WebSocket real-time
  • Vite

Security

  • JWT (HS256)
  • 4-tier RBAC
  • Data classification
  • Full audit log

Quality

  • 303 automated tests
  • Test-driven development
  • Async-native
  • Structured logging

Engineered for Sovereign Deployment

Built for environments where cloud dependencies are unacceptable and operational security is non-negotiable.

Single-Database Architecture

PostgreSQL + 3 extensions replaces 4 separate databases. Relational, graph, geospatial, time-series — transactionally consistent.

1Database
4Capabilities

Air-Gap Ready

Zero cloud dependencies. LLM runs locally via Ollama. All analysis works completely offline behind classified networks.

0SaaS Deps
2Local LLMs

Self-Extending Ontology

AI discovers new entity types from documents. Analysts approve, pipeline adapts automatically. Zero developer changes needed.

0Dev Changes
Extensibility

Auditable AI

Every AI conclusion traces to evidence. ReACT briefings log every tool call. No black-box outputs.

100%Traceable
JSONLAudit Format