SEAT | Digitizing Body-in-White Development with MAS Synera

The automotive industry faces mounting pressure to shrink body‑in‑white development cycles while improving weight, stiffness, and overall vehicle performance. SEAT’s engineering leaders highlighted two core challenges: accelerating design‑to‑production timelines and dismantling organizational silos that slow decision‑making. By embracing digital transformation, they aim to shift from sequential, manual processes to a data‑rich, collaborative environment that can respond instantly to market demands.

Enter MAS Synera’s AI‑agentic platform, a three‑layer solution that connects legacy CAD, simulation, and PLM tools through a proprietary low‑code language. This visual programming layer lets engineers build reusable automations, while the top‑level Agentic Framework orchestrates multi‑agent workflows. Real‑world pilots have already slashed routine tasks—from two‑hour simulations to five‑minute executions—demonstrating how intelligent agents can handle geometry extraction, mesh generation, and FE analysis without manual intervention.

The most compelling showcase is a manufacturing analysis agent for sheet‑metal components. Engineers upload a CAD model, prompt the system, and receive instant forming simulations, material‑library checks, and manufacturability reports—compressing a four‑week validation into roughly thirty minutes. The same framework can trigger cost and CO₂ impact assessments, ensuring data completeness before delivering results. With industry forecasts predicting a 50% reduction in engineering labor, SEAT’s partnership with Synera positions it to cut time‑to‑market, lower development budgets, and stay competitive in the fast‑evolving mobility landscape.