Synera earns Frost & Sullivan's 2025 Transformational Innovation Leadership Recognition for AI Agents in Engineering
Synera has been recognized by Frost & Sullivan with the 2025 Global Transformational Innovation Leadership Recognition in the AI Agents for Engineering category. The award highlights measurable gains in engineering efficiency, faster product development, and reduced operational costs for customers using Synera's platform.
For product development leaders, this is a signal that AI agents are moving from pilots to production. The outcomes reported-shorter timelines by 3-4 weeks and ROI within 12 months-map directly to schedule pressure, talent constraints, and tool fragmentation.
What sets Synera's approach apart
Most solutions bolt AI onto legacy CAD/CAE workflows. Synera built a foundational platform for AI-native engineering automation that integrates across the stack instead of sitting on top of it.
The platform connects with 70+ CAx tools and enterprise ecosystems, including Amazon Web Services (AWS) and Microsoft Azure. That breadth matters if you need stable integrations, security, and scale without reworking your toolchain.
Customers report faster engineering cycles, less manual rework, and material cost savings. Many see payback inside a year.
"AI can move beyond simple automation to become a true partner in engineering, creating unmatched value where other technologies fall short," said Karthik Sundaram, Research Director at Frost & Sullivan. "The benchmark is automation that is seamless, adaptive, and focused on enriching human expertise."
How product teams can put this to work now
- Prioritize high-friction loops: repetitive design changes, costing iterations, and data handoffs between CAD/CAE/PLM.
- Start with a narrow, high-ROI workflow; expand only after you have a clear control plan and baselines.
- Integrate where engineers already work: deploy agents inside your existing CAD/CAE tools to avoid context switching.
- Define guardrails early: data access, versioning, model validation, and traceability for audit and compliance.
- Instrument everything: track cycle time, FEA queue throughput, change-order count, and cost variance per program.
- Plan compute and security with IT from day one, especially for cloud workloads on AWS or Azure.
- Stand up a small enablement group (CoE) to templatize workflows and scale wins across programs and regions.
Multi-agent systems in the engineering stack
OEMs and Tier 1 suppliers are deploying multi-agent systems that coordinate tasks across CAD, CAE, PLM, and costing. The aim: remove delays caused by siloed tools and overextended experts.
Synera integrates with providers such as Altair, Autodesk, Hexagon, PTC, and Siemens, and collaborates with ARRK and EDAG. Global programs mention usage across affiliates of brands like BMW, Airbus, and NASA.
What Frost & Sullivan evaluated
The recognition involves benchmarking strategy effectiveness and execution. It looks for proof of impact: market share movement, customer satisfaction, and stronger competitive position.
Frost & Sullivan's Best Practices Recognitions are based on expert interviews, deep-dive analysis, and secondary research to identify organizations setting new standards for growth and innovation. Learn more on the Frost & Sullivan Best Practices page.
A leadership viewpoint
"Adopting AI isn't just a tooling decision-it's an organizational shift," said Dr. Moritz Maier, CEO at Synera. "OEMs and Tier 1s deploy multi-agent systems that remove engineering's biggest value-killers: repetitive design and costing loops, siloed tools, and overextended experts. It's about building organizations where AI understands engineering concepts, tools, and product context-so it can work with engineers as one."
Key outcomes product teams can expect
- Accelerated development-customers report timelines shortened by 3-4 weeks on complex programs.
- Less manual effort via agents operating inside existing CAx tools.
- Faster ROI-often within 12 months of deployment.
- Repeatability at scale-access to 100,000+ workflows to standardize and reuse best practices.
- Stronger cost control from fewer design-change loops and tighter feedback between design, analysis, and costing.
Getting started
- Identify 2-3 candidate workflows with high iteration counts and clear acceptance criteria.
- Map the data path across CAD/CAE/PLM; decide what runs on-prem vs. cloud (AWS/Azure) for latency and compliance.
- Build agents inside the tools your team already uses; ground them on your product rules, templates, and standards.
- Run a 90-day pilot with defined KPIs and a hard gate for scale-up.
- Package what works into templates and roll out across programs via a central enablement team.
If your team needs a fast on-ramp to AI automation skills for product development, see this practical certification path: AI Automation Certification.
About Synera
Founded in 2018 in Bremen, Germany, Synera develops an AI agent platform for engineering and has expanded to Boston, MA. The company integrates with 70+ CAx tools and partners with providers like Altair, Autodesk, Hexagon, PTC, and Siemens, while collaborating with ARRK, EDAG, Accenture, and Capgemini.
Synera's agents operate inside engineering applications to supplement teams and autonomously execute product development tasks without delays. The company's vision is to give every engineer the freedom to build the future with fewer barriers.
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