ATLAS
ATLAS
Real-world-grade data generation
for physical AI.
Real-world-grade data generation
for physical AI.
Real-World-Grade by Design
Real-World-Grade by Design
Atlas matches EO and IR sensor characteristics, avoids the sim-to-real gap, and produces data ready for training without post-processing. The output is built for deployment conditions, not demos.
Atlas matches EO and IR sensor characteristics, avoids the sim-to-real gap, and produces data ready for training without post-processing. The output is built for deployment conditions, not demos.
PERFORMANCE NO MATTER WHAT
PERFORMANCE NO MATTER WHAT
Performance is decided by the conditions least likely to appear in collected data. With Atlas, teams generate rare targets, degraded conditions, occlusion, concealment, camouflage, unusual viewpoints, low-pixel targets, swarms, sensor-specific variation, and other mission-specific edge scenarios on demand.
Performance is decided by the conditions least likely to appear in collected data. With Atlas, teams generate rare targets, degraded conditions, occlusion, concealment, camouflage, unusual viewpoints, low-pixel targets, swarms, sensor-specific variation, and other mission-specific edge scenarios on demand.
Proven Impact
Proven Impact
Atlas operates as an iterative system. New coverage is generated, models are retrained, and performance is evaluated against the scenarios that matter. Synthetic-only training has reached 97–99% of real-data baselines in customer evaluations, combined training has delivered gains above 10% in a single iteration, and zero-shot synthetic training has exceeded a 0.75 F1 score.
Atlas operates as an iterative system. New coverage is generated, models are retrained, and performance is evaluated against the scenarios that matter. Synthetic-only training has reached 97–99% of real-data baselines in customer evaluations, combined training has delivered gains above 10% in a single iteration, and zero-shot synthetic training has exceeded a 0.75 F1 score.
Delivery methods
Self-serve
Fully air-gapped enterprise adoption, with all data staying in your environment and full control at scale.
Self-serve
Fully air-gapped enterprise adoption, with all data staying in your environment and full control at scale.
Managed service
End-to-end data acquisition and delivery for your targeted use cases, with fast value and minimal internal lift.
Managed service
End-to-end data acquisition and delivery for your targeted use cases, with fast value and minimal internal lift.
See how DiffuseDrive helps teams generate missing data with more control, more relevant outputs, and less curation work.
See how DiffuseDrive helps teams generate missing data with more control, more relevant outputs, and less curation work.