Dana for Software-Defined Vehicles
Making even a small change to vehicle software can be painfully slow—involving months of handoffs, black-boxed ECUs, and disconnected legacy tools. Introducing Dana for Software-Defined Vehicles, the agentic platform designed to make every stage of the automotive software V-cycle agent-operable. Watch Product Manager Emily Cho demonstrate how Dana unifies requirements, architecture, code, and SIL/HIL validation into one connected, cloud-based workflow. 📖 Read the full blog post to see how Dana is reshaping vehicle development: https://applied.co/dana-sdv What is Dana? Dana is Applied Intuition's agentic platform for physical AI. It replaces fragmented tools and manual handoffs with agentic workflows, unifying data curation, simulation, training, evaluation, and insights in one platform you operate through natural language, APIs, and SDKs. What can Dana do? Dana curates datasets from petabytes of fleet data across every domain, runs inference and neural simulation, reconstructs scenes with Gaussian splatting, generates adversarial behaviors with RL-trained agents and world models, and compares autonomy stacks with full traceability in a central metrics lakehouse. Who is Dana for? Teams building physical AI and autonomy—autonomous vehicles, software-defined vehicles, trucks, and robots—that need a safety-critical, traceable development flywheel. Why does it matter? Dana is part of Applied Intuition's mission to make a billion machines intelligent, turning workflows that once took months into days—and, in some cases, hours. Chapters: 00:00 - The Challenge: Why traditional SDV software changes take months across siloed tools. 00:25 - Introducing Dana: Bringing agentic AI directly into the vehicle software V-cycle. 00:56 - Requirements as Code: Managing requirements directly with native agent access and full traceability. 01:18 - Architecture as Code: Modeling system designs right alongside vehicle code without lock-in. 01:41 - Code & Validation: Testing continuously across SIL, HIL, and real vehicles in cloud dev environments. 02:07 - Preserving Context: Connecting every step from requirement to real-world deployment. 02:21 - Compress Timelines: How a single engineer can own workflows end-to-end in a single afternoon.