Calibrating the right asset to a mission means weighing weather, terrain, operator performance, and mission profile all at once. Hard for a single asset — impossible by hand across a fleet. Mantis does it continuously, fleet-wide.
Hover a segment for provenance · hover FMC for the readiness projection
Platforms, figures, and insights shown are synthetic — illustrative sample data for demonstration only and not derived from any real fleet.
AI-native sustainment for heterogeneous UxS fleets, regardless of OEM.
Per-flight & fleet-wide
Scored per component
Anticipates demand & sourcing risk
Agent-drafted · full audit trail
Fleet sustainment starts with deeply understanding vehicle telemetry.
Every signal off the vehicle flows through the same loop, so a shift in how a platform is flown becomes a change in what wears, what ships, and what gets staged before it's needed. Mantis closes that loop automatically, turning raw telemetry into fleet readiness.
Five capabilities that turn a mixed-OEM fleet into a single, decision-ready system.
One normalized fleet view across every OEM and platform — air, ground, and sea. The telemetry pipeline reconciles vendor-specific log formats into a common schema, so commanders, maintainers, and analysts all see the same picture.
Every flight is auto-evaluated against manufacturer envelopes — altitude, speed, temperature, voltage — with each component carrying a remaining-useful-life score. Fleet-wide pattern recognition aggregates motor, GPS, thermal, and battery signals to surface systemic issues before they ground assets. And because that evidence is captured per component, it closes a warfighter-to-manufacturer feedback loop that never existed before: how parts truly perform downrange flows back to the OEMs who build them — a signal that historically never made it off the flightline.
Agents draft work orders, BOM suggestions, and root-cause analyses. Operators approve. Every state change is audited.
Demand signals from work orders flow through BOM reservations, multi-supplier sourcing, and an animated material-flow view from supplier → inventory → fleet → retired. AI-assisted BOM build and component sourcing close the loop on procurement.
A 12-week asset readiness twin projects fully- and partially-mission-capable status by team. MantisML tracks model confidence as fleet composition changes — when drift exceeds a threshold, operators review the signal trail and propose retraining.
From planning the mission to sustaining the fleet.
Plan AOIs, drop zones, and corridors on a live drawing surface. Place sensors, effectors, and threats with range-ring visualization and per-placement paths.
Categorized diagnostic patterns across motor, GPS, thermal, and battery signals — aggregated fleet-wide to surface systemic issues before they ground assets.
Per-flight reconciliation of jamming and interference against a daily hotspot map, plus GPS dead-zone clusters linked back to the originating flight logs.
Every flight auto-evaluated against manufacturer envelopes, with battery health, event annotations, and confidence-scored contributing factors.
A 12-week asset readiness twin projecting fully- and partially-mission-capable status by team, so commanders can see readiness before it slips.
Tokenized, no-install field-tech links capture photo, video, and audio across motors, battery, airframe, and payloads — reconciled to flight logs.
Every decision you can stand behind.
Capability is table stakes. In regulated and contested environments, what matters is whether you can explain — and defend — every decision.
Contributing factors are drawn from a fixed, reviewable vocabulary — not free-form model output.
Every ranked factor and agent suggestion carries a confidence score you can weigh.
Agents draft; operators decide. No autonomous state changes — graduated autonomy by design.
Every transition, comment, and approval is append-only and attributable.
One platform. Three operating realities.
Maximize uptime across mixed-OEM commercial fleets with per-component RUL, automated maintenance, and closed-loop parts supply.
We ingest and standardize telemetry from every OEM in your fleet — then close the loop, from a unified real-time view to agent-drafted maintenance and the parts to keep it flying.
