INTENT
Requirements intelligence
Structure customer requirements, standards, prior decisions, and constraints before geometry begins.
MEASUREReview hours / Misses
AI IMPLEMENTATION FOR ENGINEERING
Turn AI-assisted CAD into an engineering capability.
Aryo helps product and manufacturing teams redesign the work around CAD copilots, generative design, simulation automation, and engineering knowledge systems.
Faster design cycles without weakening technical authority, release discipline, or manufacturability.ARYO IMPLEMENTATION SYSTEMWORKFLOW / CONTROL / VALUE
START WITH A BOUNDED SYSTEMFaster design cycles without weakening technical authority, release discipline, or manufacturability.
01Requirements + knowledgeCONNECT
02CAD + simulationCONNECT
03PLM + release controlsGOVERN
01Design velocity
02First-pass quality
03Engineering reuse
04Controlled release
WHERE AI EARNS ITS KEEP
Redesign the workflow, not just the task.
We prioritize decisions that repeat, have usable evidence, and can be measured by an accountable technical or operating owner.
DESIGN
CAD generation and reuse
Assist feature creation, part-family configuration, drawing updates, and retrieval of proven design intent.
MEASUREModeling hours / Reuse
VALIDATE
Simulation and DFM loops
Automate setup, explore variants, and surface manufacturability risks while change is inexpensive.
MEASUREIterations / Late rework
RELEASE
Change control
Generate controlled documentation, trace impact, and preserve accountable engineering approval in PLM.
MEASUREECO time / Defects
PAST / PRESENT / FUTURE
Adoption is moving from tools to operating systems.
Benchmark progress shows what is becoming technically possible. Implementation determines whether that capability becomes safe, repeatable enterprise value.
Geometry generation
Research systems proved that models could emit sketches, meshes, and basic CAD command sequences.
Executable, editable programs
New benchmarks test whether models recover parametric intent—not merely a convincing rendered shape.
The full engineering loop
The frontier expands from CAD into CAE, CAM, drawings, tolerances, release artifacts, and physical validation.
CONVENTIONAL VS. AI-ENABLED
Make the operating hypothesis visible.
Illustrative person-hours for a bounded engineering workflow. Aryo replaces these assumptions with client baselines during the diagnostic.
01
−39%Parametric part family
Brackets / manifolds / housings
02
−36%Tooling and fixture package
Jigs / gauges / end effectors
03
−29%Mechatronic assembly
Actuators / modules / subsystems
THE ARYO ENGAGEMENT
From use case to governed capability.
A fixed-timeline model establishes the baseline, proves the workflow, connects the stack, and transfers the operating model.
- 01WEEKS 1–3
Engineering workflow diagnostic
Map design work, rework, standards, systems, data rights, and decision gates.
- 02WEEKS 4–8
Controlled copilot pilot
Deploy against a bounded CAD workflow using real inputs and approved references.
- 03WEEKS 9–16
PLM and toolchain integration
Connect CAD, simulation, PDM/PLM, requirements, and release controls.
- 04ONGOING
Scale and governance
Expand with evaluation suites, model controls, training, and named technical ownership.
EXTERNAL SIGNALS
Capability is moving quickly. Production discipline matters more.
BEGIN WITH A REAL WORKFLOW
Define what the first implementation must prove.
Bring one product family, device class, line, or automation loop. Aryo will frame the baseline, systems, controls, pilot scope, and measurable decision gate.