Edge AI · Mesh · Mission Software
Mission AI that works when the cloud does not.
EdgeLance connects local AI, mesh networking, cameras, sensors, fleet management, and mission collaboration into one edge-controlled workspace.
Readiness
76%
GOOD
Mesh
42 nodes
ONLINE
AI
Local first
NOMINAL
Evidence
Signed timeline
CAPTURING
What It Is
One operating layer for edge missions.
EdgeLance is the connective tissue between field devices, local models, sensors, decision support, and mission records.
Mission Workspace
Plan, execute, review, and coordinate from one operating picture instead of stitching together chat, maps, cameras, files, and device tools.
Local AI
Run vision, audio, language, and decision support at the edge first, with optional cloud or base GPU routing when policy allows.
EdgeLance Mesh
Move mission data across laptops, phones, drones, cameras, sensors, and relays through degraded or disconnected networks.
Fleet Control
Enroll devices, stage approved models, ship signed bundles, monitor readiness, and keep nodes aligned before and during a mission.
Who It Helps
Purpose-built views for the people inside the mission.
Operators
Relevant alerts, common map, role overlays, AI-assisted courses of action, and less device friction.
Medics
Casualty status, vitals, CASEVAC, med supply, biometrics, and patient context in one live view.
Command
Readiness, risk, evidence, decision history, and partner coordination without opening five tools.
Systems Teams
Mesh health, MDM posture, model readiness, courier bundles, and node reliability in one control layer.
Why It Is Different
Built around the field reality: links fail, policies matter, and every node counts.
Role-Specific Mission Views
The medic sees a different mission than the team lead.
EdgeLance keeps a common mission picture while changing the overlays, actions, and AI context for each role.
Where It Is Useful
Built for teams operating between perfect connectivity and no connectivity.
EdgeLance is useful anywhere field teams need AI, sensors, comms, evidence, and device control without assuming a clean cloud path.
Perimeter security
Cameras trigger event-based AI analysis, push concise alerts to the team, preserve clips locally, and sync evidence when bandwidth returns.
Medic operations
A medic sees casualty location, vitals, injury context, allergies, CASEVAC status, med supply, and command decisions in one view.
Disconnected patrol
Phones, laptops, watches, drones, cameras, and relays keep sharing mission updates through local mesh and store-forward sync.
Base compute
Policy can prefer a local NVIDIA server, then laptops, then phones, then approved cloud models depending on classification and link state.
Why It Is Innovative
EdgeLance treats hardware, models, mesh, and mission workflow as one system.
Consumer agent hardening
Turn Apple and commodity devices into managed mission nodes with software posture, model loadout, courier delivery, and audit receipts.
Mission-aware mesh
Route data based on tactical priority, link quality, power, trust, model residency, and what the operator actually needs next.
Disposable model loadouts
Package models and RAG libraries for a specific mission, base, squadron, or threat profile instead of shipping one bloated generic model.
Evidence-coupled AI
AI outputs are tied to source clips, sensor events, decision windows, and review history so users can challenge or explain recommendations.
How We Partner
EdgeLance complements primes, platforms, and field hardware.
The goal is not to replace every tool. It is to make devices, models, sensors, and existing systems usable in the mission flow.
See the product spine in action.
Mission planning, live map, medic view, camera evidence, AI directive, mesh health, and fleet readiness in one guided walkthrough.
Schedule a Demo