Artificial Intelligence and Data Exploitation (AI)
Deploying AI-driven assistants to analyse live combat debriefs and instantly identify capability gaps.
The Operational Challenge
Modern warfare is an overwhelmingly data-heavy environment. With terabytes of data generated daily by drone optics, sensors, and intercepted communications, military headquarters are frequently buried under raw intelligence. Human analysts alone cannot process this flow fast enough to provide timely operational awareness. The military requires AI solutions that are stable, reliable, and practically accessible in the trenches.
Building the Capability
Boryviter's Laboratory of Intelligent Technologies develops and integrates autonomous AI tools directly into the operational cycles of the Defence Forces. We focus on applied artificial intelligence—automating the passive collection of data, structuring massive information flows, and deploying AI assistants strictly within closed, secure IT infrastructures to maintain absolute Operational Security (OPSEC).
Core Domains of Expertise
Implementation across multidomain environments
Automated Open-Source Intelligence
Deploying neural networks to passively collect, filter, and structure adversarial intelligence from open sources.
AI-Driven Combat Debriefs
Developing AI assistants capable of processing complex military dialects to structure formal capability gaps during live After-Action Reviews.
Secure Data Processing
Executing automated audio transcription and data structuring exclusively within closed military networks.
Impact
Automated OSINT for the Lessons Learned System
Boryviter has developed the “ODCR Assistant” – an AI-enabled tool for the automated collection, filtering, and structuring of data from hostile open sources.
The solution is currently being tested in real operational conditions with a view to its further integration into the Lessons Learned system. Using a multi-stage filtering logic, the tool identifies relevant military information from adversary social media and technical resources and formats it according to the ODCR framework – Observation, Discussion, Conclusion, Recommendation – with minimal human intervention.
* Much of the work carried out within this line of effort is not disclosed publicly due to operational security requirements.
For further details, please contact us directly.