The challenge of physical AI
Physical AI requires not only digital perception but also real-world interaction.
Key challenges include:
Ambiguity in 3D environments (occluded objects, changing lighting)
Training data gaps in edge cases (rare movements, unusual angles)
Safety-critical decision-making (robot navigation, autonomous driving)
Lack of human feedback for nuanced decision-making
25k+
Happy Clients
469k
Social followers
Our Solutions
Comprehensive services to train AI for real-world physical interactions.
Why choose us?
High quality AI starts with high fidelity data. We provide the scalable annotation infrastructure to turn raw feeds into reliable ground truth for real world deployment.
-
Completely managed
Our services are fully managed with dedicated account managers and technical leads to ensure smooth operations and seamless integration with your existing workflows.
-
Scalable workforce
Start with a specialized pilot and grow with us. We rapidly scale our teams to meet your project demands, whether you are a startup or an enterprise.
-
Data security
We operate within an ISO 27001 certified environment with GDPR compliance to ensure your proprietary information remains protected.
-
Optimized for quality
We employ a rigorous two-layer quality control process that ensures high-fidelity output. This is enabled by a short feedback loop that continuously refines accuracy based on your requirements.
-
End to end solutions
From raw data collection and cleaning to final annotation, we offer comprehensive, End to end solutions for all your machine learning training data needs.
-
Optimized unit economics
Eliminate the overhead of sourcing and training internal teams. Our transparent pricing and high-throughput workflows provide a lower total cost of ownership than contract workers or legacy platforms.
Ready to build intelligent physical AI?
Let us help you create AI that doesn't just understand the digital world, but thrives in the physical one.