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 · APPLICATIONS
One architecture disrupting multiple fields.
Tectum is a step change in AI perception and expands seamlessly into new use cases. Same engine, different fights.
EO/IR
OPERATIONAL
Autonomous Operations
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.
EO/IR · ISR · BATTLE-DAMAGE ASSESSMENT · COMMS-DENIED
SAR
NEW
SAR Intelligence
Scene understanding and precision target identification for synthetic aperture radar. Tectum leverages Norden Labs' development of SARgon to become one of the world’s first vision-language models that reads SAR.
SCENE UNDERSTANDING · TARGET ID · CHANGE DETECTION
DUAL-USE
OPERATIONAL
Wildfire Intelligence
Wildfire and critical-infrastructure detection born from XPRIZE Wildfire. Tectum separates genuine threats from controlled burns at >95% context-aware accuracy.
THREAT DISCRIMINATION · DETECTION · COORDINATION
03 · THE PIPELINE
The first edge vision AI factory.
We own every step from raw sensor to fielded model. Our field deployed engineers leverage this to create virtuous cycles for our customers.
01
Generate
Synthetic data at 10,000+ annotated images per day.
02
Train
Sovereign, domain-specific improvements to Tectum.
03
Test
Physics-informed stress testing in simulation.
04
Deploy
Containerized for the edge, sized to the platform.
↺ FIELD deployment improves generation, training, and model performance
04 · DEPLOYMENT DOCTRINE
Built for where the cloud can’t follow.
Comms-optional 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 AUTONOMOUS SYSTEMS
See Tectum on your hardware.
We field visual intelligence with defense, public-safety, and infrastructure partners. Tell us about the mission.