Distributed Collaborative Development for Physical AI
Focus on your Physical AI applications—let Incarno provide a scalable development infrastructure for your engineering teams.
Incarno delivers a full-cycle platform for Physical AI applications, facilitating distributed
and collaborative development, efficient usage of agentic coding tools, issue
investigation, and continuous reliability improvement.
Features
Distributed and Collaborative Development
Unlike traditional software development, integration and end-to-end testing of Physical AI systems are expensive. Incarno enables engineers and coding agents to seamlessly switch between simulation and real-world environments, as well as between local and remote setups, to ship high-quality components.
CI/CD for Physical AI Systems
Establishing CI/CD processes for Physical AI that match software engineering best practices is challenging. Incarno enables a comprehensive CI/CD workflow spanning both virtual and physical environments, ensuring higher-quality merges while reducing system testing time and effort.
All Models In One Place
Incarno is a gateway to leading Physical AI models enabling fast evaluation, tuning, and deployment without lock-ins.
Physical AI Workflows
Mix computer vision, grasping, control policies, and other components in a node-based workflow builder.
Reproducibility and Data Access
Incarno helps to capture and stitch together telemetry, logs, and sensor data to diagnose issues faster and recreate them as deterministic simulation scenarios for debugging and validation.
