One weak node breaks the chain.
Detection, navigation, classification and action run as a chain. One stage that degrades in new conditions takes the whole mission with it.
Mission compromised
ATLAS · Adaptive Training Lab for Autonomous Systems
Make the mission your test environment.
Generate a mission world from a sentence or a map coordinate. Put your autonomy stack inside it. Change the conditions until something breaks, before the field does it for you.
CITY · NIGHT
The problem
Autonomy fails outside the lab.
A system that passes every controlled test can still fail on unfamiliar terrain, targets, weather or sea state. Testing every combination in the field takes time no program has.
Speed and realism. The testing tradeoff.
Conventional simulation can leave gaps in sensor realism. Field tests add fidelity, but take time and resources to repeat.
Operator trust eroded
The real world never stops changing.
Models trained on yesterday's conditions meet new terrain, new targets and new weather on the day it matters.
Lives at risk
ATLAS
Mission worlds built in minutes, rendered for your sensor, and repeatable on demand.
Build the mission world
From a sentence to a world you can fly.
01 / PLATFORM
Pick the system under test.
Choose the aerial or maritime platform, with its sensor payload and flight characteristics. ATLAS connects to your existing autonomy stack without needing its source code.
02 / DESCRIBE
Describe the world in words.
Type a setting and ATLAS generates the terrain and structures, ready to navigate. No scene is built by hand.
> ukrainian village
03 / LOCATE
Or point at a map.
Pick real coordinates. ATLAS uses terrain and building data to build a world tied to the intended operating area.
> select area on map
04 / TARGET
Drop in the threat from a single photo.
Upload an image of a target. ATLAS returns a scaled 3D mesh that you can place in the scene and assign a route.
> shahed
Change the conditions
Change the world.
Change the world.
Watch the response.
Weather, light and visibility change on command. Geometry, actors and routes stay fixed, so each run is a controlled experiment.
Air and sea · every layer
One frame.
One frame.
Three synchronized views.
Every frame comes with three matched views: what the sensor sees, the simulation behind it, and the distance to every pixel. Shown here at sea, where ATLAS also models waves, sea state and buoyancy.
RENDERThe sensor's view, rendered photoreal for EO and IR.
SIMThe underlying scene geometry and actor state.
DEPTHPer-pixel distance, synchronized frame by frame.
SEA STATEWAVESBUOYANCYAIR + SURFACE
DEPTHper-pixel ground truth
SIMULATIONobject state and pose
RENDERED VIEWwhat the sensor sees
Any world you can describe
01 / 10
From blockout to mission world.
Built for programs
Ready in minutes, not months.
Domain adaptation<20min
Automatic fine-tuning of the perception model to a new environment.
Reference imagery<20images
A short mission description and a handful of example images.
Sensor modalities4
Visible (EO) and thermal (IR), with radar (SAR) in beta and RF in alpha. Rendered to match each sensor.
Ground truthState · pose · track
Every object labeled in every frame, exported in standard formats (COCO, Pascal VOC) or yours.
DeploymentCloud to edge
Runs in AWS, AWS GovCloud, or air-gapped on an edge device.
Your autonomy stackIn the loop
Connect your autonomy software through the API. Your code stays with your team.
Specifications from the ATLAS product overview. Adaptation time depends on the domain, inputs, and compute configuration. SAR is in beta; RF is in alpha.
Government acquisition
Awardable on the Tradewinds Solutions Marketplace.
Find ATLAS in CDAO's marketplace and work with your acquisition office on the right procurement path.