Synera
Also known as: ELISE
Agentic AI platform for engineering that deploys autonomous multi-agent digital engineers across eighty plus CAD, simulation, and PLM tools, running on premises inside the customer's firewall.
Synera is an agentic AI platform for engineering that lets industrial companies deploy teams of AI agents as digital engineers, autonomously executing complex product development workflows across the tools where the work actually happens. Founded in 2018 in Bremen, Germany as ELISE by Dr. Moritz Maier, Sebastian Moller-Lafore, and Daniel Siegel, a team that had worked together since 2006, the company rebranded Synera in 2022 as its scope grew beyond lightweight structure design. It raised a fourteen point eight million dollar Series A in 2022 led by Spark Capital and a forty million dollar Series B in April 2026 led by Revaia, with Capgemini, BMW iVentures, Cherry Ventures, and UVC Partners participating, bringing total funding to about fifty eight million dollars. It serves more than sixty enterprise customers across fifteen countries, including NASA, Airbus, BMW, Volvo Trucks, and Miele.
At its core is a low code visual editor where engineers assemble reusable workflows from modular nodes, connecting more than eighty CAD, CAE, CAM, and PLM tools from vendors like Siemens, Autodesk, PTC, and Altair into one automated pipeline. In 2025 Synera layered AI agents onto that engine: while the underlying workflows are deterministic, the agents interpret requirements, select and execute the right workflows, and run continuously, acting as what the company calls a digital engineering workforce, or JARVIS for engineers. Because the agents work inside the real toolchain rather than sitting beside it as a chatbot, they can carry a product brief through design, simulation, optimization, costing, and reporting. NASA has used Synera agents to turn requirements into validated part designs, running hundreds of design iterations in an hour.
A decisive strength for its target markets is on premises deployment: aerospace, defense, and automotive firms cannot send engineering intellectual property to third party clouds, so Synera runs agents inside the customer's own firewall, keeping proprietary data in house. The founders frame the shift as moving engineers from execution to judgment, overseeing agents that handle end to end workflows, and the company reports up to ten times faster development cycles and doubled annual recurring revenue in 2025. It is deep in one domain and does not offer choice of underlying model or general purpose agent tooling. For an industrial or hardware engineering organization that wants to automate real CAD, simulation, and PLM workflows on premises, Synera is a category leading option; a software only team or one without heavy engineering toolchains will find it outside its wheelhouse.
Vendor details
Canonical URL
https://www.synera.io
Category
Enterprise operations agent
Subcategory
Engineering and R&D automation
Funding status
Independent, headquartered in Bremen, Germany with a US office in Boston, founded in 2018 as ELISE by Dr. Moritz Maier, Sebastian Moller-Lafore, and Daniel Siegel, and rebranded Synera in 2022. Raised a fourteen point eight million dollar Series A in September 2022 led by Spark Capital and a forty million dollar Series B in April 2026 led by Revaia, with Capgemini through ISAI Cap Venture, BMW iVentures, Cherry Ventures, UVC Partners, and Venture Stars participating, bringing total funding to about fifty eight million dollars. Serves more than sixty enterprise customers across fifteen countries, including NASA, Airbus, BMW, Volvo Trucks, Brose, L'Oreal, Miele, and STIHL, and reports doubling annual recurring revenue in 2025.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Connects more than eighty CAD, CAE, CAM, and PLM engineering tools from vendors including Siemens, Autodesk, PTC, Altair, Hexagon, and Dassault into a single orchestrated pipeline, so agents act inside the real engineering toolchain rather than beside it. A low code visual editor assembles reusable workflows from modular nodes, and the platform runs on premises to keep proprietary engineering data inside the customer's own infrastructure.
In practice
Your engineers spend days manually running the same CAD, simulation, and costing steps for every design variant. Synera's agents execute those workflows autonomously across your existing tools, running hundreds of iterations in the time a person does a few.
You work in aerospace or automotive and cannot send engineering IP to a third party cloud. Synera deploys its agents on premises inside your firewall, so proprietary designs never leave your infrastructure.
A supplier request for quote requires evaluating whether a part can hit a target cost, and doing it by hand is slow. Synera automates design to cost workflows so the evaluation runs automatically instead of manually.
Sources & related URLs
Research sources
Research notes
Added via Crunchbase agentic discovery CSV, enriched full fidelity 2026-07-07. Formerly ELISE (rebranded 2022); Crunchbase org slug is elise-gmbh.
Capability coverage
10.5 / 14 capabilities · 75%
| Integrations & Tool CallingConnects more than eighty CAD, CAE, CAM, and PLM tools from vendors like Siemens, Autodesk, PTC, and Altair into one pipeline, so agents act inside the real engineering toolchain, Synera docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationOrchestrates the full engineering value chain, with multi agent systems selecting and executing reusable workflows across design, simulation, optimization, costing, and reporting, Synera docs 2026-07-07 | Full |
| Knowledge Grounding & RAGConnects tools, data, knowledge, and processes into a unified system and captures over one hundred thousand reusable workflows so agents ground actions in the organization's engineering knowledge, Synera docs 2026-07-07 | Full |
| Human Oversight & GuardrailsFrames the shift as moving engineers from execution to judgment, with engineers overseeing agents that handle workflows end to end and manage approvals, Synera docs 2026-07-07 | Full |
| Security, Identity & GovernanceRuns on premises inside the customer's firewall so proprietary engineering intellectual property never leaves their infrastructure, meeting aerospace and defense data requirements, Synera docs 2026-07-07 | Full |
| Observability & AuditabilityThe deterministic visual workflow editor makes every step an agent executes inspectable, and agents produce validated, documented design outputs and reporting for traceability, Synera docs 2026-07-07 | Full |
| Memory & State PersistencePersists a large library of reusable workflows and captured engineering knowledge, but a distinct agent memory that learns per user over time is not documented, Synera docs 2026-07-07 | Partial |
| Deployment & Data ResidencyOffers on premises deployment inside the customer's firewall as a core differentiator, keeping engineering data and IP fully in the customer's own environment, Synera docs 2026-07-07 | Full |
| Prebuilt Agents, Templates & PacksShips a large library of modular nodes and more than one hundred thousand reusable workflows plus prebuilt tool integrations that engineers assemble into agents out of the box, Synera docs 2026-07-07 | Full |
| Triggers & Channel CoverageAgents run continuously and without supervision, triggered by requirements and design changes, executing iterative simulation loops autonomously across the lifecycle, Synera docs 2026-07-07 | Full |
| Model Flexibility & RoutingRuns on its own agentic stack layered on a deterministic workflow engine and does not document customer choice of underlying model or routing across external providers, Synera docs 2026-07-07 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityA low code visual programming environment lets engineers build custom functions, nodes, and multi agent systems, but a broad public developer SDK, API, or MCP surface is not documented, Synera docs 2026-07-07 | Partial |
| Testing, Debugging & OptimizationRuns iterative simulation and validation loops that verify and optimize design outputs before commitment, but a dedicated agent testing and debugging surface is not documented, Synera docs 2026-07-07 | Partial |
| Browser & Computer UseDrives engineering applications through deep tool integrations rather than by controlling a browser or operating a general computer interface, Synera docs 2026-07-07 | Unable to verify |
Pricing
Not public; enterprise pricing quoted through sales, typically scoped to users, tools, and deployment
enterprise subscription scoped to users, connected tools, and deployment
What is public
No list pricing. Synera quotes through enterprise sales with a demo path and no self serve tier.
Billing mechanics
Enterprise subscription sized to users, the number of connected CAx and PLM tools, and the deployment footprint, delivered on premises or in the cloud.
Cost watchouts
On premises deployment and integration into many engineering tools can carry implementation and infrastructure costs alongside the subscription.
Variable cost rationale
Sold as an enterprise subscription typically scoped to users, connected tools, and deployment, and often run on premises, so cost is largely a fixed platform fee rather than scaling steeply per action.
Additional watchouts
With no public rate, confirm how pricing scales with users and connected tools, and how on premises deployment and support are priced.
Sales call required
Yes — required for paid access
Free / trial
Demo and evaluation on request; no public free tier
Key ambiguities
No public rate is published, and whether pricing is per user, per tool, or flat enterprise is not disclosed.
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