Agentic AI Savings Calculator for Engineering
This free calculator estimates the engineering capacity (hours per year) and the equivalent cost your team could win back by automating repetitive design, simulation-preparation, and documentation work with agentic AI.

Your estimated capacity and speed gain
How it works
Step 1
Type in your process details. Pick a process scenario and we prefill benchmarked numbers from what our customers have already achieved.
Step 2
See your potential capacity and speed gain for year 1, before any form.
Step 3
Speed -> turnaround. Submit the short form to reveal your capacity and cost savings as adoption grows over time.
Step 4
Then book a consultation, with no obligations, to build your complete ROI estimate together.
Get your capacity savings right
Which process to start with
Pick one process you know well, like a routine simulation or cost calculations. Not sure which process to start with? Use our AI process assessment framework to guide you through uncovering workflows that are good AI candidates, so your estimate stays realistic.
Use real numbers
Use real figures from your own operation rather than round guesses. The closer your inputs, the more useful the estimate.
Forward Deployed Engineers
Forward Deployed Engineers accelerate first time-to-value. If internal engineering resource is not available to support implementation, we highly recommend FDE.
Reliable agents, proven to work beyond capacity gains

Turnaround gains
Workflows that used to take hours or days run in minutes, so results arrive early enough to act on, and risk is caught sooner.

Strong ROI
Material cost savings in the 7-digits means Synera pays for itself many times over.

Improved product quality
Automated design and technology optimization has delivered parts roughly 18 to 40 percent lighter, alongside the hours freed by automation.
The 5 engineering processes that free up your capacity
Routine & repetitive
The everyday manual tasks that repeat across projects. Workflows that feed it: data prep and transfer between systems, file and format conversions, template population, standards and rule checks, bulk file handling, model housekeeping and reuse cleanup.
Modeling & drafting
Building and updating the geometry and drawings. Workflows that feed it: CAD generation, parametric and topology studies, layout and packaging, routing, drawing and BOM updates.
Design & optimization
Exploring and improving the design itself. Workflows that feed it: design-to-cost, lightweighting and topology optimization, design-space exploration, concept generation, trade studies, material selection.
Simulation & analysis
Setting up, running, and post-processing engineering analysis. Workflows that feed it: FE modeling and meshing, CFD and structural runs, crash and durability, solver setup, results extraction and validation.
Reporting & documentation
Turning results and data into reviewable output. Workflows that feed it: automated simulation and test reports, templated technical documentation, review and approval or sign-off packs.
Agentic AI ROI frequently asked questions
Unlock your full estimate
See your estimated capacity freed as adoption grows in breadth, from a few automated workflows (Start) to many (a full team of agents), and over time: implementation, year 1, and three years. Complete the form above and your results appear instantly.
