For all moving machines
Our end-to-end physical AI platform uses simulation and real-world data collected across industries to create the safest, fastest, and most advanced intelligent infrastructure for any machine in any environment.
Dana The Agentic Platform for Physical AIBuilt on a decade of tooling, infrastructure, workflows, and engineering expertise, Dana accelerates physical AI from concept to deployment.
Build, test, and validate physical AI systems with an end-to-end platform for safer, faster development at scale.
It’s built to be orchestrated by agents, with tokenized UI designs and MCP-ready interfaces. Powered by agents that understand the context, datatypes, and workflows critical to physical AI development and validation, and can drive end-to-end work.
Built for petabyte-scale ingestion, curation, and processing across fleets and long-running programs. Access controls let teams scale usage without breaking compliance or velocity.
Drive autonomy stack performance with a closed-loop system that converts real-world sensor data into curated, labeled segments for downstream training, simulation, and evaluation tasks. Continuous metrics feed the next iteration, compounding progress.
The platform is powered by advanced AI, including VLMs for data understanding and curation, neural reconstruction and rendering for high-fidelity simulation, world foundation models.
Powerful SDK to construct and manage complex workflows on cloud, on-prem, and air-gapped environments. Modular primitives let teams bring their own models, simulators, and metrics, and integrate existing infrastructure without rewriting the platform.
We ensure safety is built into every layer of the autonomy stack through metrics-based validation, compliance with regulatory standards, and comprehensive coverage of edge cases through simulation and data curation.
Domain-optimized stack architectures leverage domain-specific sensing, compute, and control across land, air, and sea. It’s built for safety, reliability, and to fulfill every mission from mines and farms to on the battlefield.
Deploy, monitor and, command large fleets of autonomous vehicles and machines across factories, farms, roads and the battlefield.
Our Autonomy stack offers partial autonomy to full driverless autonomy for passenger and commercial vehicles, allowing OEMs to accelerate supply chains, improve comfort and safety outcomes, and build the future of the industry.
Applied Intuition has a significant, global fleet of cars, trucks, mining vehicles, and hardware driving in real world environments, collecting petabytes of data that create a foundation for autonomy that can be deployed in any domain.
Everything that moves needs a rock-solid operating system to enable intelligence applications—robots, trucks, drones, humanoids. That’s Vehicle OS.
Vehicle OS spans domains on a single platform, enabling cohesive behavior across systems and reducing integration effort by up to five times. The result is simpler architecture, fewer handoffs, and faster programs that scale cleanly.
Real-time KPIs, system metrics, and diagnostics are built into the platform, not bolted on later. By implementing only the APIs and services a vehicle actually needs, Applied OS delivers a leaner footprint with measurable CPU and memory gains and continuous insight into performance.
Applied Intuition replaces GUI-bound configuration workflows with a code-first toolchain built for modern software teams. What once required months of supplier coordination can now happen in weeks.
Applied OS integrates on-board software, off-board services, and cloud tooling into a single development environment. Virtualized testing can compress validation cycles from months to days.