Edge command kit
MacBook, tablet, phone, drone, and radios operating as one local mission workspace.
Edge AI · Mesh · Mission Software
Mission intelligence for the team in the fight.
Not surveillance tracking for everyone outside it.
Local AI, mesh, and ATAK integration running on the team's own hardware. Sync to Lattice, Palantir, or command when the mission calls for it. Stay local when it does not. Wipe when the mission ends.
Data
LOCAL ONLY
SECURED
Mesh
TEAM ONLY
ENCRYPTED
AI
ON-DEVICE
NOMINAL
Mission
EPHEMERAL
WIPE READY
How It Works
One closed loop. Everything local.
What It Is
One operating layer for edge missions.
Devices, models, sensors, and mission records connected in one edge-controlled layer.
Mission Workspace
Plan, execute, and review from one operating picture. 10 role-specific views. 193 API endpoints. 89 mission components.
Local AI
35 open-weight models across 5 categories. Object detection, segmentation, speech, reasoning, and embeddings. All on-device.
EdgeLance Mesh
9 transport types. WiFi, BLE, LoRa, Starlink, Direct-to-Cell, LTE, MANET, Iridium SBD, USB-C Courier. Store-forward across all.
Fleet Control
Classification-aware MDM. STIG compliance. Signed courier delivery. Device passport verification. Duress wipe.
Multi-Sensor Fusion
Six sensor types. One threat picture.
Camera
RF-DETR + YOLO ByteTrack tracking SAM segmentation Zone crossing
Acoustic
Drone motor (90-420 Hz) Gunshot classification Vehicle engine Speech-to-text
RF / SDR
28+ TPMS protocols Passive vehicle ID WiFi/BLE correlation Emitter classification
Face + NFC
3-factor IFF Face match + NFC + device Blood type from card Allergy flagging
Wearable
9 providers HR, HRV, SpO2, stress Sleep debt scoring Relief recommendation
LPR
Plate recognition Watchlist alerting RF cross-reference Vehicle track merge
Product Screens
Show the mission flow, not a slide deck.
EdgeLance is built to be demonstrated as an operating system across laptops, phones, watches, cameras, drones, and mesh nodes.
Camera Intelligence
Adaptive camera wall, contact continuity, local crop tagging, and map handoff from existing RTSP feeds.
Field Context
Show the hardware story around the software.
EdgeLance is meant to be seen as a mission kit: laptops, phones, tablets, wearables, cameras, drones, radios, and mesh relays carrying the same mission state.
Mesh continuity
Nodes keep sharing location, status, and alerts as links step down from IP to local mesh.
Role-specific view
Medic and operator screens stay focused on the actions each role can take right now.
Mission Surfaces
More than one dashboard screenshot.
Cycle through live operations, camera intelligence, contact tracing, fleet posture, model routing, mission packs, evidence, and after-action review.
Live Map
Assets, zones, alerts, role status. Operators stay in one view.
Demo Story
One system from mission pack to field action.
Build the pack. Deliver it. Operate locally. Publish to ATAK. Wipe what should not persist.
01
Build
Describe the mission. EdgeLance recommends models, files, apps, and per-device loadouts.
02
Watch
Live map, AI directive, camera tracks, readiness, and mesh status stay in one operator view.
03
Move
Drones, cameras, laptops, phones, and relays share ISR through local mesh and store-forward sync.
04
Act
Wrist, phone, and laptop actions give operators fast distress, check-in, and rally controls.
Security Is the Product
Not a checkbox. The architecture.
12 security gates. Fail-closed. Every gate passes before the system serves a request.
Mission Burn
AES-256-GCM key destruction All AI outputs unrecoverable Proof chain survives
Duress
Silent wipe + decoy unlock Covert mesh alert to command MDM-enforced key destruction
12 Gates
API key, WS token, MQTT auth CORS, RBAC, TLS, signing Fail-closed in production
Classification MDM
TS / SECRET / CUI per device STIG continuous compliance Device passport + trust score
Hardware Trust
Firmware provenance scoring Default credential detection Chinese IoT sinkholing
Audit Trail
HMAC-SHA256 signed ledger Tamper-evident Survives mission burn
ATAK / iTAK native
Everything publishes to ATAK. Nothing leaves the device.
EdgeLance processes drone feeds, wearable data, and sensor inputs locally, then publishes results as Cursor-on-Target. Operators see detections on the ATAK map they already trust. No data leaves the device.
CoT publishing
Detections, drone tracks, readiness, RF contacts, medical, and supply points appear as native ATAK markers.
Extends existing mesh
Adds local AI processing and delayed sync on top of existing mesh workflows. Full mission record available when comms resume.
Zero external data
All inference runs on Apple Silicon, NVIDIA, or approved edge hardware. Model weights stay local. Nothing phones home.
Secure by design
Classification-aware MDM, signed model loadouts, STIG compliance, and audit trails from device enrollment through mission review.
Integrations
Connects to what operators already use.
ATAK / iTAK
Bidirectional CoT XML
Lattice
Entity bridge, selective sync
Palantir AIP
Ontology export, no cloud dependency
Ditto
P2P mesh sync, CRDT conflict resolution
LeapfrogAI
Airgapped LLM via UDS/Zarf
Meshtastic
LoRa mesh, $30/node, store-forward
MAVLink / UAS
Drone telemetry, waypoints, gimbal
Starlink / D2C
9 transport profiles, auto-degrade
USB-C Courier
Signed delivery, wrong-device reject
Who It Helps
Each role sees what they need to act on.
Operators
Tactical map, threat directives, sector assignment, NFC/face IFF challenge, sensor tasking, and burst comms. One screen.
Medics
5-casualty triage, blood type/allergies from NFC cards, CASEVAC 9-line, supply tracking, wearable vitals from 9 providers.
Command
Mission readiness score, ROE decision audit, CASEVAC approval, evidence-coupled AI with operator override, AAR generation.
Systems Teams
8-node fleet MDM, STIG compliance, signed courier delivery, model routing across 35 options, hardware trust interrogation.
Why It Is Different
Built for the team, not the enterprise. Local by default. Shared by choice.
81 services, 193 endpoints, 124K lines of code running on hardware you already carry. Not a concept deck.
9 transport links. Auto-degrades from Starlink to WiFi to BLE to LoRa to silent. Mesh adapts, AI stays local.
Sync to Lattice, Palantir, ATAK, or command when policy allows. Fully disconnected when it doesn't.
Mission Burn. AES-256-GCM encryption with key destruction. AI outputs, sensor events, chat. Destroy the key, lose the data.
Role-Specific Mission Views
The medic sees a different mission than the team lead.
Common mission picture. Different overlays, actions, and AI context per role.
Casualty status and vitals
CASEVAC and supply actions
Evidence and decision context
Where It Is Useful
Built for teams operating between perfect connectivity and none.
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.
Operator trust by design
AI that helps the team in the fight without turning every operator into a surveillance feed.
Mission Burn
AES-256-GCM mission key. Destroy it and every AI output, sensor event, and operator action across all nodes is gone. Proof chain survives for accountability.
Duress protocols
Silent wipe with decoy unlock. Covert mesh alert to command. MDM-triggered key destruction. No other fielded system does this.
Evidence chain
Every AI output links to the source sensor frame via SHA-256 hash. Operators challenge the recommendation, see the raw data, override or accept.
AI models as loadout
35 models across 5 categories. Pick per node during mission prep based on memory, mission, and connectivity. Swap models, not procurement cycles.
Why EdgeLance
Built for the gap between enterprise C2 and tactical radios.
Enterprise platforms serve brigade and above. Radios carry data but do not process it. EdgeLance fills the gap with AI, mesh, MDM, and evidence on hardware teams already carry.
Interoperability
Plugs into Lattice, Palantir, ATAK, and command. On your terms.
Connects to enterprise platforms when the mission calls for it. The team controls what gets shared.
Publishes to ATAK/iTAK as native CoT. The map operators already trust.
Syncs summaries to Lattice or Palantir without exposing raw feeds. Command gets the picture, not the firehose.
Runs fully disconnected. No cloud, no reachback, no external dependency. The team is the system.
Exports mission context for AAR and command review when the team decides to share.
Link Adaptation
What happens when connectivity changes.
EdgeLance adapts payload, AI, evidence capture, and burn reach across every link condition. The system keeps working. The operator keeps control.
Cost Calculator
What would cloud AI actually cost?
EdgeLance runs all AI inference on hardware you already own or can buy off the shelf. Object detection, vision analysis, transcription, segmentation, and threat narration execute locally at zero marginal cost per query. Replicating this through cloud APIs costs $15-25 per node per hour at budget pricing. At scale, it is hundreds of thousands per month.
Run the Numbers1 Node / Hour
$16-26
cloud API costs
EdgeLance
$0/hr
local inference
Battalion / Year
$5M+
cloud at 40 nodes
EdgeLance
$0/query
software license, your hardware
See what mission intelligence looks like when the team owns it.
Live walkthrough: mission planning, local AI, ATAK integration, drone ISR, wearable readiness, and ephemeral mission lifecycle.
Schedule a Demo