Agentic AI for automotive engineering
The agentic AI platform for automotive engineering
Ship quotes faster. Run more design iterations. Compress development timelines. With Synera, your team produces more with the people you already have.
Built for automotive engineering and product development teams

The state of automotive engineering
Automotive engineering R&D is moving faster than the tools made to engineer its products
From connected tools to a coordinated agentic workforce with Synera
Synera connects your tools, captures your experts’ knowledge, and runs it as agents. Your teams quote faster, iterate more, and compress development timelines without adding headcount. The engineering teams already doing this are turning the trend.
170,000
Engineering processes and intellectual property digitalized on Synera
6 of the top 10
Automotive OEMs by revenue rely on Synera
80+
CAD, CAE, and PLM system integrations across multi-vendor engineering stacks
Here's how Synera works
inside your engineering stack
Synera works in levels and each level builds on the one before it. Most teams start at level one and reach level four within six months.
1
Connect
Your engineering tools are connected by a unifying platform. Engineers stop losing time to rework caused by data that arrived late, reformatted incorrectly, or not at all. What was fragmented becomes a single traceable flow.
2
Automate
Fragmented steps become automated end-to-end. An engineering task is initiated and the right tools execute without manual handoffs between systems. Sequential becomes simultaneous.
3
Agentify
Agents are introduced on top of your workflows. Each agent has access to large language models, your workflow library, and connected tools. They evaluate, interpret, and act, following your engineering methods and applying your best intellectual property.
4
Scale
A coordinated agentic workforce handles your full development process in parallel. Engineers steer outcomes rather than wait to iterate. Development time compresses. Competitive position strengthens.
The capabilities that make each transition possible:
Integrations layer
The integrations that power Connect and Automate
Secure LLM layer
The secure LLM layer that enables Agentify
Workflow library
The workflow library that gives agents something to run at Scale
Engineering decisions require precise calculation, not inference
A cost breakdown is calculated from geometry, material costs, and manufacturing logic, step by step. Synera builds every output on deterministic calculation, with a full audit trail the engineer can inspect and defend to a customer.
Your engineers have built decades of quoting expertise. Synera runs that expertise 99% faster. Engineers become stewards and value creators.

General-purpose AI | ||
|---|---|---|
Built for | Any business process across the enterprise. Examples: Microsoft Copilot, Palantir, n8n. | Engineering work. Vertical AI purpose-built for one industry. |
Mechanism | Probabilistic reasoning. Plausible, not verified. | Deterministic calculation with LLM orchestration. |
Connectivity | To own product suite. | To 80+ CAD, CAE, and PLM tools. |
Execution | Recommends decisions based on text and databases. | Executes: changes geometry, runs simulations, iterates based on physics constraints. |
Context | No engineering domain knowledge. | 170,000 engineering processes digitalized. |
Data residency | Cloud-dependent. | On-premises by default. |
Deployment model | Self-serve. Adoption depends on individual team skills and internal resources to build, maintain, and scale. | Structured deployment from day one. Dedicated onboarding, validated workflows, and embedded FDE support, from first automation to live agents. |
In production with automotive engineering teams
Real deployments. Real numbers.

IMS GEAR · TIER-1 AUTOMOTIVE SUPPLIER
Weeks → 10 minutes
Time-to-quote
IMS Gear deployed Synera's quote automation workflow across their engineering team. From technical data to manufacturing process parameters to costing, the sequential steps that previously took weeks of manual coordination now complete in 10 minutes, with engineers reviewing and approving the output.

SEAT · AUTOMOTIVE OEM
4 weeks → 30 minutes
Manufacturing feasibility analysis
SEAT's Body-in-White engineering team built a manufacturing feasibility agentic workforce on Synera. A CAD designer uploads a sheet metal component. A team of agents analyzes geometry, runs forming simulation, and checks manufacturability. A supervisor agent orchestrates the sequence and returns a full report. Four weeks of sequential work now completes in 30 minutes.
Engineering teams building on Synera
You have a mandate: efficiency as a sales volume and cost-cutting measure. Find out how much of that Synera can deliver.
An assessment tool you can complete before any conversation with us.
How Teams Get Started
From platform activation to full agentic workforce.
Synera stays with you from your first workflow to your last bottleneck. Every deployment includes dedicated support built to move at engineering speed.
Weeks 1 to 2
Platform live
Months 1 to 3
First automations in production
Months 3 to 6
Workflows running. Agents in development.
Months 6 to 12
Full agentic workforce deployed
You are not building this alone.
INCLUDED
Academy
Every engineer has a structured path to their first build, from day one.
INCLUDED
Customer Success
A dedicated partner tracking adoption, ROI, and next use cases across every stage.
INCLUDED / ADD-ON
Solution Engineers
Deep technical expertise on demand, from kickoff workshops through cross-team scale.
ADD-ON
Forward Deployment Engineer
A Synera expert embedded inside your team, building what you cannot build alone.
Available as an add-on service
Forward Deployment Engineer
The FDE works inside your organization with full platform and codebase access. They build production-ready workflows and agentic AI systems alongside your team on a fast-track that bypasses the standard product queue.
Custom workflow development, production-readiness validation, and steering committee support for executive alignment.
Frequently Asked Questions
Common questions from automotive engineering leaders
Agentic AI for automotive engineering is a category of AI systems that can autonomously execute multi-step engineering processes, such as RFQ-to-quote, design-to-cost analysis, and manufacturing feasibility, by connecting and orchestrating the tools, data, and workflows your engineering teams already use.
Synera deploys a team of agents that receives an RFQ package, reads the CAD geometry, retrieves historical pricing, calculates a cost breakdown, and generates a draft open-book response, reducing a process that previously took weeks to under 10 minutes.
Most engineering teams have their first automated workflows running in production within the first three months, with a full agentic AI system operational within six to twelve months depending on deployment scope.
Synera has native connectors for 80+ engineering tools including PTC Creo, NX, CATIA, SolidWorks, Ansys, Altair, aPriori, FACTON, SAP, and major PLM and ERP systems, enabling multi-vendor workflow automation across fragmented engineering stacks.
Unlike general-purpose AI tools, Synera processes engineering data types natively — including 3D geometry, simulation results, and mesh formats — and executes engineering workflows rather than recommending actions, with a full deterministic audit trail the engineer can inspect and defend to a customer.