The AI copilot for mechanical engineering
Look up parts and suppliers, sanity-check manufacturability, and leave a readable trail when things shift. Want a hand? We can help where you ask—your judgment still leads.
Sound familiar?
Sound decisions fracture across disconnected tools
CAD, PLM, spreadsheets, and supplier catalogs each tell part of the story. Engineers stitch it back together by hand.
Data scattered across PLM, specs, paywalls
Tribal knowledge and standards sit in systems engineers cannot query from one desk.
Reporting and paperwork eat design time
Drawings, summaries, and compliance trails pull you away from the actual design problem.
Approved-vendor defaults limit sourcing
Shortcut lists bias you toward known suppliers—even when specs justify a broader search.
How teams move through Buildables
One thread—no stage drama
We keep the narration linear so busy leads can skim in under a minute. Your internal gates may vary; Buildables stitches the artifacts.
- 01
Say what matters
Requirements in plain engineering language the system can carry forward.
- 02
Pull the constraints forward
Standards and prior work surface with citations—nothing hand-wavy.
- 03
Shape CAD concepts
Sketches inherit the tolerances and manufacturability you already defined.
- 04
Source with eyes open
Compare suppliers on fit before commitments land on a traveler.
Where Buildables lands
Four seams we keep tight
Each piece below is shorthand for habits we reinforce with teams—not a roadmap slide. Preview windows are sketches so you can see rhythm, not a live tenant.
CAD with real-world inputs
Tolerances, materials, and checks stay beside the geometry—nothing buried behind chat summaries.
Simulated example—not live customer data.
On narrow screens, scroll sideways on the preview to see the full width.
What your system already knows
Standards and PLM excerpts surface with pointers to file and line—not a prose wall.
Simulated example—not live customer data.
On narrow screens, scroll sideways on the preview to see the full width.
Decisions carry a trace
The audit trail shows what shifted, when, and why engineers signed off.
Simulated example—not live customer data.
On narrow screens, scroll sideways on the preview to see the full width.
Supplier shortlists that honor specs
Rank on materials, certs, and throughput—not keyword bingo.
Simulated example—not live customer data.
On narrow screens, scroll sideways on the preview to see the full width.
Voices from conversations
Nobody ships alone
We talk with hardware teams every week. Below is shorthand for what sticks—not a scorecard or a forecast.
- ~100 hrs
- Modeling time saved per month, typical teams (self-reported)
- Up to 35%
- Less redundant rework in design cycles (self-reported)
- Up to 30%
- Fewer downstream issues caught earlier (self-reported)
- Varies widely
- Rough savings bands some teams mention ($250K–$5M annual in interviews)—anecdotes only, not audited or comparable to your situation
Why Buildables
Built differently
End-to-end workflow
From concept to supplier in one flow—fewer handoffs between disconnected tools.
Built for production
Constraints, supplier data, and manufacturing inputs reflect how you actually build.
Auditability as the feature
Recommendations cite sources—traceable for compliance and team alignment.
Straight answers
What skeptical teams ask
No investor theater—just conversations we revisit weekly.
No. We augment decisions; we do not replace engineers, and human validation stays on every output. You still own the signatures—think of Buildables as a copilot, not a substitute PM.
As good as the data you connect. Every answer should link back to assumptions and sources—validate before it hits a traveler.
Enterprise stacks can integrate with familiar PLM and doc systems. Ping us with what you already run—we will be honest about fit.
We cross-check certs, revisit capability notes, and track delivery signals. Nothing ships as “trusted” until your team agrees.