RadioIntel AI

Automated Radio Intelligence Analysis Powered by AI

Institutional memory for SIGINT operators. Process 50 messages in 15-30 minutes with 90-95% accuracy. Fully offline, tested in combat conditions.

The Critical Problem

Radio intelligence operators face a severe institutional memory crisis

🔄

Operator Rotation

3 shifts working day-on, two-days-off. Each shift has its own context. Verbal briefings can't transfer the full scope of discovered patterns, code words, and tactical insights.

⏱️

Slow Processing

Minimum 1 hour to manually analyze 50 messages. Operator fatigue reduces accuracy to 70-80%. Critical intelligence opportunities are missed.

🔍

No Institutional Memory

Impossible to manually compare code words with thousands of previous messages. Connections between events across shifts are lost. Each shift starts "from scratch".

Result: Critical intelligence is lost, response time slows down

RadioIntel AI — Institutional Memory

AI-powered system that preserves and accelerates radio intelligence analysis

📥

Automatic Loading

Intercepted communications via Signal. Automatic PDF processing. No manual data entry required.

🤖

AI Analysis

Local language model extracts structured data: call signs, coordinates, frequencies, units, targets, routes.

💾

Vector Database

All messages with context. Full history for every shift. Instant search through thousands of previous intercepts.

📊

Analytics

Search, relationship analysis, activity tracking. Visualize patterns and connections automatically.

Automatically Extracted:

Call signsCoordinatesFrequenciesMilitary unitsTargetsRoutesEquipmentOperational details

Proven Effectiveness

Tested in combat conditions with verified results

3-5×
FASTER

15-30 minutes for 50 messages vs several hours manual analysis

90-95%
ACCURACY

Compared to 70-80% for manual processing of large volumes

100%
OFFLINE

Complete autonomy, guaranteed data security, field-ready hardware

🔒

Security

100% autonomous operation with no external connections

🧠

Institutional Memory

Search thousands of messages in seconds, across all shifts

Technology Stack

Built for reliability, security, and complete autonomy

🤖

Artificial Intelligence

Ollama + Gemma2:9b

Local language model, full autonomy

💾

Data Storage

ChromaDB + SQLite

Vector DB for contextual search

🖥️

Interface

Streamlit + Signal-CLI

Web interface and auto-loading

⚙️

Hardware

AMD Ryzen 7735H, 64GB RAM

Compact mini-PC for field conditions

🔧

Infrastructure

Linux + systemd

Resource management, 24/7 monitoring

100% Offline

Data security guaranteed

Our Team

Combining e-commerce expertise with advanced AI development

Dmytro

Dmytro Cheremnov

Project Lead

  • 4 years of IT experience
  • Specialization: Shopify development, LLM integration in e-commerce
  • Expertise: Custom AI applications, customer engagement
Maksym

Maksym Cheremnov

Technical Lead

  • BSc Computer Science, Czech University of Life Sciences (Prague)
  • 5 years full-stack development, last year focused on LLM integration
  • Expertise: Scalable AI solutions, cutting-edge tech with business needs

Our team combines deep e-commerce systems expertise with advanced AI development to create production-grade solutions for high-stakes environments.

Ready to Scale

The system is operational. We're seeking accelerator support and strategic partnerships.

Every minute matters. Every detail saved can save lives.

We're looking for $35,000-40,000 in funding, mentorship from military/SIGINT experts, and network access to scale deployment to 10-15+ positions.

Dmytro Cheremnov — Project Lead