Partner

Install NVIDIA Cosmos. The Easy Way

We help companies install, configure, and run NVIDIA Cosmos for Physical AI

What we do with NVIDIA Cosmos

From first setup to production-ready Physical AI systems.

01 Foundation

Cosmos Integration

Wire NVIDIA Cosmos into your cameras, video streams, sensors, and the AI you already run — ingest paths, not demos.

02 Data

Data & Video Pipelines

Prepare, process, and organize real-world video data for Cosmos workflows — labeled, normalised, deduped.

03 Models

Model Integration

Integrate Cosmos models into your existing Computer Vision and AI infrastructure — pipelines, schedulers, registries.

04 Physical AI

Robotics & Physical AI

Build applications that connect Cosmos to robots, autonomous systems, and physical environments — bridge from pixels to actuators.

05 Validation

POC & Prototypes

Turn an idea into a working NVIDIA Cosmos prototype — fast enough to fail, framed enough to learn.

06 Production

Production Deployment

Move Cosmos-based solutions from experiments to real-world deployment — uptime, observability, rollback paths.

AI for the
Physical World

We work across the disciplines that connect models with matter — camera, machine, sensor, chip — where inference has to happen on time, in place, and under real-world physics.

IN PRODUCTION

Proven across
Multiple Industries

Real applications, real results.

Aluminum wheels moving along a production conveyor
AEROSPACE · WHEEL CASTING

Wheel component verification

Verifies rim presence, orientation, and surface condition across repeated metal parts on the line.

200 ms
CYCLE TIME
< 0.2%
FALSE ACCEPT
0.6%
FALSE REJECT
Car door frames on an automotive assembly line
AUTOMOTIVE · TRIM / CLIP

Clip seating verification

Confirms clips and fasteners are present and fully seated, even with changing trim geometry.

50 ms
CYCLE TIME
< 0.01%
FALSE ACCEPT
0.2%
FALSE REJECT
Reflective headlight lenses in production
AUTOMOTIVE · LIGHTING

Lens and housing inspection

Checks lens presence, alignment, and surface defects across reflective lighting assemblies.

250 ms
CYCLE TIME
< 0.3%
FALSE ACCEPT
2.0%
FALSE REJECT
Battery cell modules on a production line
BATTERY · CELL COUNT

Cell count and alignment

Counts cells and verifies tray alignment before pack assembly, with results ready for MES handoff.

120 ms
CYCLE TIME
< 0.05%
FALSE ACCEPT
0.2%
FALSE REJECT
Vials with barcoded labels on a packaging conveyor
PACKAGING · OCR / LABEL

Date code and label verification

Reads lot codes, labels, and cap presence on moving products, even with curved surfaces and low contrast.

70 ms
CYCLE TIME
< 0.01%
FALSE ACCEPT
0.3%
FALSE REJECT
Electronics assembly on a consumer device production line
CONSUMER · ASSEMBLY

Final assembly verification

Verifies mixed assemblies in trays and crates, including cables, connectors, and missing components.

500 ms
CYCLE TIME
< 0.08%
FALSE ACCEPT
2.0%
FALSE REJECT
Ready to Work with NVIDIA Cosmos?
Tell us what you're building. We'll help you get started with NVIDIA Cosmos.
Instance Segmentation
Keypoint Detection
Object Detection
Object Detection
Object Detection
Object Detection
Object Detection
Keypoint Detection

Our Main Partner

Palladium

We help businesses integrate AI-powered computer vision into cameras, robots, industrial equipment, and existing workflows — from object detection and inspection to real-time monitoring and automation.

Focus Computer Vision & Physical AI
Made on
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