Guardal
Guardal provides Olympus, a browser-based, platform-agnostic sensor fusion platform that unifies radar, camera, and other sensor feeds into a single operational picture. The system runs on existing rugged field computers, preserves sensor provenance and confidence levels, and maintains a coherent picture even when network links degrade. Its Holdfast module enables distributed coordination, allowing each node to make decisions locally within delegated authority.
- Defense Tech
- Government Technology
- Internet of Things
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Military and security organizations often operate with radar, camera, and other sensor systems that report on separate networks, forcing operators to mentally correlate data from multiple displays. This fragmented approach slows decision-making and creates gaps in situational awareness, especially in degraded or contested environments where connectivity is unreliable.
Solution
Guardal provides Olympus, a browser-based, platform-agnostic fusion platform that reads multiple sensor feeds as one unified picture of the operating environment. The system runs on the rugged field computers an organization already carries, eliminating the need for specialized hardware. Olympus preserves each track's originating sensor data and confidence levels while fusing tracks from air, surface, and subsurface sensors into a coherent view. When network links degrade, the platform keeps the last verified picture readable and marks expired tracks as stale, ensuring operators always have actionable information. The Holdfast module enables distributed coordination, allowing each node to continue making decisions based on its local sensor picture within delegated authority. A human retains release authority on every engagement, with the system carrying only the sensing-only operator picture.
Target Audience
Primary customers are defense and security organizations operating in contested or degraded environments, including military units and government agencies that need unified multi-sensor situational awareness on existing field hardware.
Features
- Multi-source fusion engine that combines tracks from distributed air, surface, and subsurface sensors into one current operational picture
- Browser-based architecture that runs on existing rugged field computers without proprietary hardware requirements
- Sensor provenance preservation, keeping each track linked to the sensor that produced it along with its confidence level and model digest
- Degraded-link resilience that maintains the last verified picture and marks expired tracks as stale
- Distributed coordination via Holdfast that maintains coherence across the network while allowing node-level decision-making
- CI-checked authority contracts that express sensing alone, ensuring the system reports and a human acts
- Software-defined detectors and classifiers that can be updated via release rather than new installation
- Performance metrics including 180 ms p95 decision latency, 650 ms p95 end-to-end latency, and 5,000 sustained tracks