We are an R&D team building a platform for large-scale, high-resolution and autonomous monitoring of 3D space. Our mission is to provide unparalleled situational awareness.
To achieve this mission, we have structured our work across three main research intents:
Intent #1 - Building digital twins for attack simulations
- Building digital twins based on real data (geography, critical infrastructure, military bases etc.)
- Attack simulations to understand not only border protection, but also defense in depth scenarios (for example in the context of critical infrastructure)
- Blind/weak spot detection. These detections could be also used in offense capabilities, not just defense
- Hackathon goal: We plan to take our current universal simulation platform and enrich it with real Czech Republic geography and attack simulation based on Shahed drones
Intent #2 - Plugging-in real time existing data streams
- Plugging-in data from existing platforms (radars; civilian traffic etc.) to provide holistic monitoring of thousands of targets, improve prediction models and provide for longer reaction time
- Continuous improvement of the digital twin by creating a feedback loop provided by real data
- Using fusion of real and simulated data to train and fine-tune trajectory prediction models and target intent prediction models
Intent #3 - Addressing the gaps with new hardware
- Satellites, drones (including the tethered ones), helicopters and other existing platforms have their gaps. We want to address them by building autonomous airship clusters and possible other hardware solutions (e.g. sensory towers)
- Autonomous self-healing provided by repositioning and re-deployment of the monitoring systems to provide continuous monitoring with 99,99% SLA
Further details provided in the attached BeamLabs.pdf