Perception infrastructure for high fidelity physical AI
Build, train, and ship real world perception systems that scale. Safer, and in a fraction of the time and cost.
“The drone could without issue reach the target coordinate, spot the target and follow it around without intervention.”
Real-world perception, without the real-world bottleneck
Most teams lose months to simulation, labeling, and tooling before a model sees its first frame. The data bottleneck is the real cost, and the stakes keep climbing.
of AI and automation projects fail due to poor or missing data.
estimated training-data market by 2032.
industrial robots installed in the EU during 2023.
Built for teams teaching machines to see
Logistics & warehousing
Train robots to pick, place, and navigate across the endless variation of real fulfilment sites.
Mining & heavy industry
Generate the dust, low light, and hazards of heavy-industry sites without sending a robot in.
Inspection & maintenance
Teach autonomous inspectors to spot faults across structures that are hard to reach.
Surveillance & security
Detect rare events across the angles, lighting, and conditions real cameras seldom capture.
And that is just the start. If a machine has to see it, you can generate the data to teach it.
How fast can you get the right perception model?
Getting there fast comes down to four answers: the right data, the right model architecture, the right tools, and a way to validate. Scailab turns that into one path, from requirements to deployment.
- 01
Requirements
Define your mission goals and the perception your system needs to ship.
- 02
Curation
Real-world data curation and analysis, paired with high-fidelity synthetic generation.
- 03
Training
Train models on high-fidelity, structured datasets built for your exact scenario.
- 04
Analysis
Analyze progress and check performance in real time, then iterate in hours not years.
Everything you need in one place
One workspace to annotate, build, collaborate on, and ship perception datasets, with no glue code and no stitched-together tooling.
Annotate
Label an entire dataset in minutes, not months. Guided tooling does the heavy lifting, so you skip manual labeling and get straight to training.
Pipeline
Define the perfect data scenario visually, without writing a single line of code. Clear, repeatable, and faster than ever.
Marketplace
Download datasets from other Scailab users, or share your own. A head start you can plug straight into production.
Build your projects together
Bring your whole team into the same project and build datasets side by side.
Already changing how robots learn to see
“The drone could without issue reach the target coordinate, spot the target and follow it around without intervention.”
Investors backing our mission
Scailab is backed by the following investors as we build perception infrastructure for physical AI.
Fresh from the lab
Notes, research, and field reports from the team building perception infrastructure.
Questions, answered
Still wondering about something? Reach out and we will get back to you.
How is synthetic data different from real-world data?
Synthetic data is generated from a 3D scene, so every frame is labeled by construction with pixel-perfect ground truth. You control the conditions exactly, which means no manual annotation and no waiting to encounter an edge case in the wild.
Will a model trained on synthetic data work in the real world?
Yes. We use domain randomization and high-fidelity sensor simulation to close the sim-to-real gap, and most teams blend synthetic data with a small amount of real data to fine-tune. The result matches or beats real-only datasets on rare cases.
How long does it take to generate a dataset?
Most datasets render in the cloud in minutes. You set up the scene once, hit render, and download a fully labeled dataset ready for training.
How do you handle our data and IP?
Your scenes, assets, and datasets are yours. We support private workspaces, and on-premise or VPC deployment is available for teams with stricter data requirements.
How do I get access?
Scailab is in private beta. Join the waitlist and we will reach out with onboarding, or contact us directly if you have an urgent project.
Start building perception data that scales
Join the teams shipping real-world AI faster, safer, and at a fraction of the cost.