Your engineering knowledge is scattered.
CAD, drawings, PLM, standards, calculations, inspection records, supplier conversations, and past programmes each hold one part of the answer.
ORION · MECHANICAL ENGINEERING AI
AI for the
people who
build
hardware.
We help hardware companies train and deploy custom mechanical-engineering AI models, so their teams can move 10× faster.
YOUR ENGINEERING KNOWLEDGE · YOUR RULES · YOUR DEPLOYMENT
BUILDABLESENGINEERING CONTEXT
PLAYABLE PRODUCT TOUR
See how Buildables works.
Start with the files and requirements you already have. Orion helps turn them into a reviewable design, a sourced BOM, engineering answers and a drawing change record.
ROomba conceptProfessional baseline
MOCK TOURLocal demonstration
BUILT TO PRODUCTION
Start with one painful engineering workflow. Build a model your team can trust around it.
THE GAP
General AI sees the files.
It misses how engineers decide.
Mechanical engineering depends on constraints, trade-offs, company rules, failed approaches, and experience that was never written down. Fine-tuning on documents alone does not recreate that judgment.
The best judgment lives in engineers’ heads.
The files rarely explain why an option failed, what an experienced reviewer checks first, or which unwritten rule matters for this product and customer.
A confident answer is not engineering evidence.
If a model cannot show the source, assumption, calculation, uncertainty, and rule it used, an engineer cannot responsibly approve the result.
WHAT ENGINEERS ASKED FOR
Show the source. Show the calculation. Keep company data private. Make uncertainty visible. Keep a qualified person responsible for the final decision.
THE BUILDABLES APPROACH
Move from engineering context
to work your team can review.
Design, sourcing and drawing intelligence stay connected to the same engineering package.
Revise a source-backed design.
Keep model history, engineering context and generated deliverables together.
Review COTS parts without hiding gaps.
Keep manufacturer identity, offer data, integration documents and requirement status visible.
Keep each finding tied to the drawing.
Annotate a localized change and preserve the human review decision beside the source.
CONNECT THE CONTEXT. REVIEW THE WORK. KEEP THE EVIDENCE.
ORION MODELS
Mechanical engineering AI that learns your way of building.
Orion is a family of specialized models for hardware and industrial work. It learns the language of your products, the rules your team follows, and the reasoning experienced engineers use to reach a decision.
It is not a replacement for CAD, simulation, PLM, or qualified engineering judgment. Orion connects that work, carries context between it, and prepares results an engineer can inspect and approve.
Build a custom OrionYour engineering context
Drawings, CAD/STEP, BOMs, standards, calculations, simulation outputs, inspection data, change history, and lessons learned.
Like a careful reviewer
Checks constraints, compares alternatives, retrieves the relevant rule, exposes missing information, and explains why a finding matters.
Tools instead of guesswork
Connects to calculators, retrieval systems, engineering software, computer vision, and controlled workflows where deterministic work is required.
From expert correction
Reviewed examples, preferences, rubrics, edge cases, and approved outcomes make the model more useful for the organization over time.
WHAT ORION CAN HELP WITH
One engineering context.
More useful work done.
Begin where time is being lost today. Carry the learning into the next workflow when the team is ready.
01 / ENGINEERING LIFECYCLE
Design.
Bring the model, drawing, requirement, company rule, past decision, and supplier constraint into one review. Orion checks routine issues, compares options, and prepares evidence for the engineer who owns the decision.
BUILT AROUND REAL ENGINEERING JOBS
Useful before it is impressive.
Each Orion workflow has a clear input, a bounded job, visible evidence, and a person responsible for the result.
01DESIGN REVIEW
Give every design a second set of experienced eyes.
Orion brings the drawing, CAD context, requirements, company standards, past review comments, and supplier constraints into one review. It flags routine issues, explains why they matter, and leaves the final decision with the engineer.
02ENGINEERING KNOWLEDGE
Find the answer your team already learned the hard way.
Ask questions across drawings, calculations, specifications, lessons learned, part history, and supplier records. Orion returns the source, the relevant section, and the assumptions behind its answer, not a paragraph you have to trust on faith.
03DRAWINGS & CHANGE
Turn drawing comparison into a reviewable change record.
Digitize legacy drawings, compare revisions, locate changed dimensions and notes, check title blocks and BOM consistency, and prepare markups for human review. Useful for product drawings, plant documents, and large drawing sets.
04COST & SUPPLY
Connect design choices to cost, parts, and real supplier capability.
Compare materials, processes, tolerances, lead times, approved parts, and supplier evidence in the same decision. Orion helps teams reuse what already works and spot where a design choice creates unnecessary cost or supply risk.
05VISION & QUALITY
Teach inspection systems what your team considers acceptable.
Use production images, golden references, defect examples, drawings, and quality criteria to build a repeatable visual review. Orion records the finding, confidence, evidence, and next step for a quality engineer to approve.
06APOLLO · FACTORY ORCHESTRATION
Carry an approved engineering decision into factory work.
Apollo connects Orion’s reviewed output to permitted digital actions: create a task, route a change, update a record, request a quotation, notify an owner, or stop and escalate. Consequential actions remain behind policy and approval gates.
HOW ORION IS TRAINED
Expert thinking,
made teachable.
Most model training rewards the right final answer. Engineering work also depends on the path taken, the evidence used, and knowing when not to answer.
01
Observe real engineering work
Start with a bounded task: a drawing review, design choice, inspection decision, or factory exception.
02
Capture the decision path
Record the evidence considered, checks performed, trade-offs made, rejected options, and missing information.
03
Turn judgment into teachable signals
Experts create examples, corrections, preferences, rubrics, and clear definitions of an acceptable result.
04
Train Orion to use tools and evidence
The model learns to retrieve company knowledge, use deterministic tools, show its assumptions, and stop when context is missing.
05
Evaluate it on the work that matters
Engineers test repeatability, source quality, rule adherence, edge cases, and safe failure before deployment.
06
Improve from reviewed use
Corrections and approved outcomes become new training signals while model and workflow versions stay traceable.
THE PRODUCT PAGE WILL OPEN THIS PROCESS IN DETAIL: DATA CREATION, MODEL ADAPTATION, TOOL USE, EVALUATION, DEPLOYMENT, AND VERSION CONTROL.
TWO WAYS TO USE ORION
Private for company work.
Cloud for ideas you can share.
Large engineering teams can run a custom Orion inside infrastructure they control. Individual engineers and smaller hardware teams will be able to use shared Orion models in the cloud for non-sensitive work, without building an AI stack first.
Choose a starting pointCustom Orion
Company-specific training, private or on-premise deployment, integrations, evaluations, permissions, and support for critical workflows.
Orion Cloud
Planned usage-based access for engineers and smaller teams building, comparing, or optimizing non-sensitive hardware ideas.
Start with one job
Pick a bounded workflow with real inputs, a clear owner, and an output your engineers already know how to review.
ENGINEERS REMAIN ACCOUNTABLE
AI should make engineering judgment easier to inspect.
Orion can prepare the review, surface the evidence, run permitted checks, and recommend a next step. A qualified person still owns consequential decisions.
- Source and relevant section attached
- Assumptions and uncertainty made visible
- Calculations and tool results kept with the finding
- Approval required before controlled actions
ILLUSTRATIVE ORION REVIEWDR-1182
AWAITING ENGINEER
Motor bracket revision review
4 findings · 3 resolved · 1 needs an owner
Drawing comparison completed
09:42Revision C compared with approved Revision B.
Company rule linked
09:45Minimum wall thickness points to ENG-STD-041, section 3.2.
Manufacturing route needs review
09:475-axis machining proposed. Cost owner approval required.
BRING US ONE ENGINEERING BOTTLENECK
We’ll show you what
a custom Orion can learn.
Start with the drawings, decisions, checks, and people behind one valuable workflow.
Talk to our team