ACCEPTING DEPLOYMENT PARTNERS
NORDEN LABS · SCALED EDGE INTELLIGENCE
Visual intelligence, forward deployed.
Norden Labs builds agentic vision-AI for edge assets. One perception engine, Tectum, specialized into model families for multi-sensor contextual understanding.
EDGE-DEPLOYED · COMMS-DENIED READY · ZERO-LABEL ENROLLMENT · ALL-WEATHER SENSING
01 · CORE ARCHITECTURE
One forward pass replaces the cascade.
Tectum builds a shared representation of the frame in a single forward compute pass. Every capability reads from it. No second pass. No separate models to license, train, and maintain.
DETECT
TRACK
RE-ID
GATE
SELECT
DESCRIBE
02 · MODEL FAMILIES
Three families. One engine underneath.
Each family is Tectum, specialized to a domain. Same engine, different fight.
EO/IR
OPERATIONAL
Talos
On-board contextual intelligence for UAV, UGV, and USV platforms. Real-time ISR, battle-damage assessment, and search that keep working when the link does not.
TALOS LIGHT · GROUP 1–2 UAS // TALOS HEAVY · GROUP 2–3
SAR
NEW
SARgon
Scene understanding and precision target identification for synthetic aperture radar. Includes one of the world’s first vision-language models that reads SAR.
SARGON-VLM · SCENE UNDERSTANDING // SARGON-VIT · TARGET ID
DUAL-USE
OPERATIONAL
Ember
Wildfire and critical-infrastructure detection born from XPRIZE Wildfire. Separates genuine threats from controlled burns at >95% context-aware accuracy.
EMBER FLAME · DETECTION // EMBER BLAZE · COMMAND
03 · THE PIPELINE
The first edge vision AI factory.
We own every step from raw sensor to fielded model. Each engine feeds the other. The loop compounds.
01
Generate
Synthetic data at 10,000+ annotated images per day.
02
Train
Sovereign, domain-specific vision models.
03
Test
Physics-informed stress testing in simulation.
04
Deploy
Containerized for the edge, sized to the platform.
↺ FIELD TELEMETRY FEEDS STEP 01
04 · DEPLOYMENT DOCTRINE
Built for where the cloud can’t follow.
Comms-denied by design
Every model runs entirely on-board. No uplink. No mission abort when the link drops.
Sovereign by default
Your data, your hardware, your security boundary. End to end.
Field-adaptable
New targets enroll from a handful of examples. No retraining cycle. No labeling pipeline.
// UAS ON STATION · BEYOND LINK RANGE
05 · DISPATCHES
12.24.25
Drones Compete to Spot Brushfires
IEEE Spectrum covers Norden Labs’ AI wildfire-detection technology, developed for the XPRIZE Wildfire competition.
06.03.25
Firefighting drones under development at UMD
Fire-protection engineers at the University of Maryland are putting wildfire-detection models on working firefighting drones.
07.01.25
UMD students create firefighting drone as part of contest to end destructive wildfires
WMAR-2 News covers Team Crossfire, the University of Maryland team building an AI-powered firefighting drone for the \$11 million XPRIZE Wildfire competition.
CONTACT · NORDEN LABS
See it on your hardware.
We field visual intelligence with defense, public-safety, and infrastructure partners. Tell us about the mission.