Mantis Technologies
Mantis Technologies provides a data fusion and analytics platform that aggregates telemetry from any unmanned platform—air, ground, or sea—regardless of OEM, to deliver fleet-wide readiness and predictive maintenance. The platform computes component-level remaining useful life scores, auto-evaluates each flight against manufacturer envelopes, and routes performance evidence back to OEMs to close the design feedback loop.
- Defense Tech
- Drones & Uncrewed Systems
- Data & Analytics
- Internet of Things
- Government Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Unmanned defense fleets generate vast telemetry, but existing sustainment infrastructure is fragmented across OEM-specific formats and disconnected from operational feedback. Maintenance decisions are made asset-by-asset without a fleet-wide view, and field performance data never reaches manufacturers who could improve design and supply chain readiness.
Solution
Mantis delivers a data fusion and analytics platform that aggregates telemetry across any unmanned platform—air, ground, or sea—regardless of OEM. The platform reconciles vendor-specific log formats into a common schema and computes component-level remaining useful life scores, fleet-wide pattern recognition, and readiness projections. Every flight is auto-evaluated against manufacturer envelopes, and the evidence is captured per component with a full audit trail. This same data automatically flows back to OEMs, enabling design changes and supply chain staging in days rather than quarters, closing the loop between field performance and platform iteration.
Target Audience
Defense organizations and system integrators operating unmanned fleets—including military branches, prime contractors, and OEMs—who need predictive maintenance, readiness reporting, and closed-loop design feedback.
Features
- Cross-vendor data fusion: normalizes telemetry from mixed-OEM fleets into a single decision-ready view across air, ground, and sea domains
- Remaining useful life scoring: per-component scores based on manufacturer envelopes for altitude, speed, temperature, and voltage
- Fleet-wide pattern recognition: aggregates motor, GPS, thermal, and battery signals to surface systemic issues before they ground assets
- Warfighter-to-OEM feedback loop: automatically routes downrange performance evidence back to manufacturers, shortening the distance from field failure to design change
- Agentic maintenance workflows: agent-drafted maintenance actions with full audit trails and provenance tracking
- Supply chain intelligence: anticipates demand and sourcing risk based on fleet usage patterns