Synera Raises $40M to Scale Agentic AI in Industrial Engineering

Article hero imageImage credit: Synera

Key Takeaways:

  • $40M Series B to scale agentic AI for engineering
  • Platform integrates with 80+ tools to automate workflows
  • Growing adoption across global enterprises like NASA and BMW

Synera, an agentic AI platform orchestrating industrial engineering workflows, announced a $40 million (€35M) Series B round led by Revaia, with participation from Capgemini and existing investors including UVC Partners, BMW iVentures, Cherry Ventures, and others, supporting its shift to large-scale industrial deployment.

Closing the Engineering AI Gap

Engineering remains constrained by manual processes and fragmented systems, despite rising AI investment. Many AI prototypes fail to reach production, highlighting a gap between innovation and real-world use.

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.

AI Agents for Industrial Workflows

Synera enables companies to deploy AI agents that autonomously execute workflows across design, simulation, and optimization. The platform integrates with 80+ engineering tools, improving speed, efficiency, and cost control without replacing existing systems.

Growth and Expansion

Synera doubled ARR in 2025, with strong demand for its AI solutions. The platform is used by over 60 enterprises across 15 countries, including NASA, Airbus, and BMW. New funding will drive expansion across the U.S., Europe, and APAC, scaling agentic AI adoption in engineering.

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