The AI copilot for mechanical engineering

Find parts/suppliers, verify with data, run calculations and keep design consistent. All-in-one workflow without replacing engineering judgement.

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THE PROBLEM

Engineering decisions break across disconnected tools

Design, constraints, and sourcing live in separate systems. Engineers manually reconcile decisions across CAD, PLM, spreadsheets, and supplier databases.

Large, scattered and inaccessible data

Tribal knowledge, pages of standards and guidelines buried deep within PLMs and behind paywalls

Non-engineering tasks slow you down from focusing what's key

Documentations, reports, and drawings takes a long time. Especially, when there is a standard to follow.

Limited to procured parts from selected vendors

Limited to designing based on the few approved vendors. Fighting to buy new parts from new vendors is a struggle.

HOW IT WORKS

One continuous workflow

01

Define design intent

Describe what you need to build with functional requirements

02

Retrieve constraints

System pulls relevant standards, specs, and past decisions

03

Generate CAD concept

Create manufacturable designs with real-world parameters

04

Source and validate

Match suppliers and verify production feasibility

Design with real-world constraints

Generate CAD concepts using manufacturable components and engineering inputs. Every design decision considers material properties, tolerances, and production feasibility.

Manufacturability Analysis
2 warnings
!

Tolerance specification

Tolerance +/-0.05mm may increase cost by 40%

Wall thickness

2mm walls are within standard range

!

Machining complexity

Complex geometry requires 5-axis CNC

Material availability

6061-T6 readily available

Extracted Constraints
ISO 9001:2015 ComplianceStandards

Quality management system requirement

QMS-DOC-2024.pdf, Line 45-48
Wall thickness min 2.5mmPast Design

Previous enclosure used 2.5mm minimum

Project-ENC-2023/notes.docx, Line 127
IPC-A-610 Class 2Standard

Electronics assembly acceptance criteria

Internal Standards DB, Section 4.2.1

Surface what your system already knows

Pull constraints, standards, and past decisions from PLM systems and internal documentation. Every reference includes the exact line number and source file.

Every decision is traceable

No black box outputs. Full audit trail showing what action was taken, when, by whom, and the reasoning behind each decision.

Decision Audit Trail
Material selected
10:42 AM

6061-T6 Aluminum chosen based on thermal conductivity

AI Suggestion
Tolerance updated
10:38 AM

Changed from +/-0.05mm to +/-0.1mm

J. Smith
Process selected
10:35 AM

CNC Machining recommended

AI Suggestion
Concept generated
10:32 AM

Initial design concept created

AI Suggestion
CNC machined aluminum parts
Verified Suppliers247 found
P

Precision Metals GmbH

@GermanyISO 9001AS9100
98%
T

TechParts Manufacturing

@PolandISO 9001
94%
A

Alpine CNC Solutions

@AustriaISO 9001ISO 14001
91%

Find suppliers that actually fit your design

Match manufacturers based on your exact specs, materials, and production requirements. Not just keyword matches, but actual capability alignment.

REAL RESULTS

Built for production teams

100 hrs

Saved per month in modeling time

35%

Reduction in redundant design

30%

Fewer design errors

$250K-5M

Savings in a year

WHY BUILDABLES

Built differently

Engineering copilot, not automation

We augment engineering decisions, not replace them. Every output requires human validation.

End-to-end workflow

From concept to supplier in one system. No more switching between disconnected tools.

Built for production

Real engineering constraints, real supplier data, real manufacturing parameters.

Auditability as the feature

Every recommendation has a source. Full traceability for compliance and team alignment.

Used by engineers from Antler, IBM, Intel

Aligned with ISO, IPC, ASME standards

Developed with research labs

FAQ

Common questions

Stop rebuilding decisions from scratch

Bring design, constraints, and sourcing into one system.

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