Synera, the agentic AI platform orchestrating the full industrial engineering value chain, today announced a $40 million (€35M) Series B round led by Revaia, with participation from Capgemini through ISAI Cap Venture. The round also includes all existing Series A investors, including UVC Partners with a substantial commitment from its growth fund, BMW iVentures, Cherry Ventures, Venture Stars, and Spark Capital – marking a step change in Synera’s trajectory as it moves from early adoption to large‑scale industrial deployment.
Engineering is rapidly becoming the next major frontier for AI adoption as rising competition, particularly from China, forces companies to deliver high-quality products faster and at lower cost. In this context, Gartner® says,“The 2025 Gartner CIO and Technology Executive Survey revealed that 86% of manufacturing respondents indicated their enterprise would increase investment in generative AI in 2026, with 86% expected to have deployed GenAI by 2026 and 97% expecting to deploy by 2028. Despite this increase ininvestment, manufacturing CIOs and technology executives report that only an average of 41% of AI and GenAI prototypes reach production, according to the 2024 Gartner AI Mandates for the Enterprise Survey.”
The gap highlights a fundamental disconnect between AI investment and real-world application, leaving engineering workflows across design, simulation, and optimization reliant on manual processes, siloed systems, and constrained by fragmented legacy tools.
Synera is enabling a new mode of engineering powered by purpose‑built AI agents. Often described as “JARVIS for engineers,” the platform allows companies to deploy teams of agents that don’t only assist, but autonomously execute complex workflows across the product lifecycle, connecting existing CAx tools, data, knowledge, and processes into a unified, orchestrated system.
Unlike solutions that require replacing existing infrastructure, Synera integrates with more than 80+engineering tools and enterprise systems, enabling automation while keeping data and engineering intellectual property secure through on‑premises deployment. The result is a major leap in engineering productivity: faster development cycles, KPIs, reduced material usage, innovative product designs, and cost efficiencies that directly influence competitiveness and production economics.
“Engineering is the backbone of every industrial company, but remains one of the least digitized and automated functions that was, until recently, largely inaccessible to AI,” said Dr. Moritz Maier, CEO of Synera. “This funding enables us to deliver a fundamentally new mode of engineering, where AI agents operate as true digital engineers, executing complex workflows across the entire value chain. Now, we can connect tools and knowledge across departments. We can redefine how hardware engineering is delivered. The companies that embrace this shift will innovate faster, cut costs at scale, and set the pace for their industries.”