Synera Raises $40M to Bring Agentic AI into Engineering Workflows
April 14, 2026 – 1:01 pm
The Bremen startup’s platform deploys teams of AI agents that autonomously execute engineering tasks across more than 75 existing tools, without replacing any of them. Revaia led the Series B; Capgemini joined through its ISAI Cap Venture vehicle. All Series A investors returned.
Synera
Synera, a Bremen-based agentic AI platform for industrial engineering, has raised $40 million (approximately €35 million) in a Series B round led by Revaia, with participation from Capgemini through ISAI Cap Venture. All of the company’s existing Series A investors returned, including UVC Partners with a substantial commitment from its growth fund, BMW iVentures, Cherry Ventures, Venture Stars, and Spark Capital.
The round is intended to accelerate Synera’s expansion in the US and internationally, building on existing deployments at NASA, BMW, Airbus, Volvo Trucks, and Hyundai.
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Synera was founded in 2018 in Bremen by Dr. Moritz Maier, Sebastian Möller-Lafore, and Daniel Siegel, a team that had been working together since 2006, initially under the name ELISE (Evolutionary Lightweight Structure Engineering), before rebranding in 2022 to reflect the company’s expanded scope.
The platform connects more than 75 existing engineering tools, including software from Altair, Autodesk, Hexagon, PTC, and Siemens, into a unified orchestration layer, allowing AI agents to execute complex engineering tasks autonomously across design, simulation, optimization, costing, and reporting without requiring companies to replace their existing infrastructure.
The platform is deployed on-premises, keeping engineering intellectual property and sensitive data within customers’ own environments. Synera has also established a US presence in Boston, Massachusetts.
The company describes its approach as deploying a virtual engineering team: agents that don’t merely assist but autonomously execute, running iterative simulations, generating reports, responding to RFQs, and progressing through approval workflows without human intervention at each step. The platform has been internally described as “JARVIS for engineers.”
Quantified outcomes cited by Synera and independently validated by Frost & Sullivan in a 2025 analysis include a 95% reduction in finite element simulation time at engineering consultancy EDAG, and a 30% weight reduction in 3D-printed robot gripper designs at BMW’s Additive Manufacturing Campus.
NASA has deployed multiple Synera agents to transform requirements into validated part designs, completing hundreds of design iterations in an hour.
The investment context is a structural mismatch between AI investment and manufacturing deployment. Gartner’s 2025 CIO survey found that 86% of manufacturing respondents plan to increase generative AI investment in 2026 and 97% expect to have deployed it by 2028, yet only 41% of AI and generative AI prototypes currently reach production, according to Gartner’s 2024 AI.