Platform
The mission operating layer for local AI and disconnected teams.
EdgeLance brings models, mesh, sensors, devices, decisions, and evidence into one controlled system. It is designed for teams that need modern AI without surrendering mission continuity to perfect connectivity.
Product System
Four product surfaces, one mission record.
Buyers can evaluate EdgeLance as a full suite or as focused modules. The differentiator is how the modules reinforce each other during a real mission.
EdgeLance Mission
Plan, execute, and review operations from a shared mission workspace with role-specific views for operators, medics, command, analysts, and systems teams.
EdgeLance Mesh
Move events, alerts, clips, telemetry, and model context across mixed links with store-and-forward, priority routing, and degraded-link content shaping.
EdgeLance Fleet
Enroll nodes, verify posture, stage signed packages, manage model loadouts, monitor readiness, and roll back software when mission risk changes.
EdgeLance AI
Run local models first, route to base GPU or approved cloud when policy allows, and keep every answer tied to the evidence that produced it.
Operating Loop
Built around what happens before, during, and after a mission.
Build
Create the mission workspace, assign roles, select model/RAG loadouts, register devices, and define data-handling policy.
Stage
Package software, models, reference libraries, camera profiles, and connector settings into signed bundles for online or courier delivery.
Operate
Fuse cameras, sensors, radios, and human updates into a live picture while AI runs locally and mesh keeps data moving through DDIL conditions.
Review
Replay the mission timeline, inspect source evidence, export AAR material, capture lessons learned, and update knowledge libraries for the next loadout.
Deployment Paths
Designed for field nodes, base compute, and enterprise handoff.
Tactical edge
MacBooks, iPhones, tablets, cameras, drones, watches, relays, and sensors operating as managed mission nodes with local inference and store-forward sync.
Base or FOB
A local GPU server or Kubernetes environment can act as preferred compute while laptops and phones keep fallback capability at the edge.
Disconnected delivery
Software, model, and RAG bundles can be staged for signed courier movement when network delivery is not available or not allowed.
Enterprise handoff
Structured mission events, evidence, and audit history can flow upward into approved command, intelligence, legal, and partner systems.
Evaluation Questions
What a serious buyer should ask.
Can the system run its core AI workflows without a cloud link?
Can field devices be enrolled, hardened, updated, and audited as mission nodes?
Can data move across mixed radios, WiFi, LTE, satellite backhaul, BLE, and courier workflows?
Can the operator challenge an AI recommendation and see the source evidence?
Can a medic, commander, analyst, and systems admin use the same mission truth without sharing the same UI?
Can the platform integrate upward into enterprise systems without making them a dependency?
Evaluate the platform as a mission flow.
The fastest way to understand EdgeLance is to walk from mission staging to live operations to evidence review.
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