Start with a reviewable engineering plan.
Record the objective, constraints, assumptions, missing inputs and expected outputs before generation begins.
PRODUCT · ORION
Train Orion on
how
your engineers
decide.
Build a mechanical-engineering AI model around your products, rules, tools, and expert decision process, then evaluate it on real work and deploy it inside the boundary your organization requires.
ORION
PRODUCT CONTEXT
EXPERT JUDGMENT
TOOL USE
RELEASE GATE
THE MODEL FAMILY
One foundation. Adapted to the engineering work that makes your company different.
Orion starts from capable open-weight foundations and is adapted through Buildables’ engineering-reasoning process.
ORION IS NOT ANOTHER CHAT WINDOW
It does not replace CAD, PLM, simulation, inspection equipment, or qualified engineering authority. It retrieves context, coordinates tools, prepares evidence, and gives an engineer a better starting point for review.
Adapt the model to the decision process.
Model training remains an abstract system process. It is not represented by an unrelated product screenshot.
ORION
Put the result inside a human review.
Approved source material becomes a drawing, CAD, sourcing or evidence artifact that an engineer can inspect.
Company context
Products, assemblies, drawings, standards, calculations, approved parts, supplier records, failures, revisions, and lessons learned.
Expert behaviour
What experienced engineers check, which evidence they trust, what they reject, when they escalate, and what an acceptable result looks like.
Engineering tools
Retrieval, calculators, rules, simulation interfaces, CAD and PLM connections, computer vision, and permitted downstream actions.
Release evidence
Workflow-specific tests, source checks, rubric review, edge cases, repeatability, safe failure, and engineer acceptance.
BEYOND COMPLETED ANSWERS
An answer shows the decision.
It rarely shows the engineering behind it.
A released drawing, approved supplier, completed calculation, or closed quality report shows the outcome. It usually does not preserve what the engineer noticed, which rule changed the decision, what failed earlier, which option was rejected, or when more information was required.
The evidence considered
The drawing region, requirement, company standard, calculation, inspection image, supplier capability, failure history, or field observation that mattered.
The decision path
The checks performed, assumptions made, trade-offs compared, alternatives rejected, uncertainty identified, and stop condition applied.
The acceptance rule
The rubric, tolerance, escalation rule, reviewer correction, or approved outcome that defines what good work looks like.
THIS IS THE MATERIAL BUILDABLES TURNS INTO TRAINING AND EVALUATION SIGNALS FOR ORION.
ENGINEERING-REASONING DATA
Capture expert thinking while it is still connected to the work.
We work with subject-matter experts on real, bounded tasks and turn the reviewed process into teachable signals.
Task and context
Define the actual job, inputs, output, owner, constraints, and systems involved.
TASKSTRUCTURED SIGNAL
Expert work session
An engineer performs or reviews the task while explaining what they inspect, calculate, compare, reject, and escalate.
SESSIONSTRUCTURED SIGNAL
Structured work trace
Convert the session into evidence references, actions, tool calls, decisions, uncertainty, and outcome.
TRACESTRUCTURED SIGNAL
Corrections and preferences
Collect better and worse outputs, amendments, reviewer preferences, failure examples, and edge cases.
CORRECTIONSTRUCTURED SIGNAL
Rubrics and stop conditions
Define what must be present, what is unacceptable, when Orion should ask, and when a person must take over.
RUBRICSTRUCTURED SIGNAL
Evaluation cases
Create realistic unseen tasks that test Orion on the workflow rather than a generic question set.
EVALUATIONSTRUCTURED SIGNAL
Technical detail
Depending on the programme, these signals may support supervised adaptation, preference optimisation, tool-use training, rubric-based feedback, environment-based learning, retrieval evaluation, or workflow-level testing. The method is selected for the engineering job; it is not a fixed fine-tuning package.
FROM EXPERT WORK TO DEPLOYED ORION
A controlled model lifecycle for engineering work.
No model version moves forward only because it produces a convincing answer.
Define
Choose one bounded workflow, its evidence, owner, acceptable output, and action limit.
Collect
Connect approved engineering context and capture expert examples, corrections, preferences, and rubrics.
Adapt
Train Orion on the organization’s language, decision patterns, tools, and failure boundaries.
Evaluate
Test unseen work for source quality, repeatability, rule adherence, tool use, escalation, and engineer acceptance.
Deploy
Release a version into an approved workflow, infrastructure boundary, and permission model.
Improve
Turn reviewed corrections and accepted outcomes into the next controlled model and workflow version.
CUSTOM ORION
Adapt the model where your engineering work is genuinely different.
Start with the smallest change that makes a measurable workflow more reliable.
Knowledge alignment
Teach Orion where approved information lives, which source takes precedence, how revisions relate, and how to cite the exact record.
Decision alignment
Teach the checks, trade-offs, company rules, rubrics, failure cases, and escalation behaviour used by experienced reviewers.
Tool alignment
Connect deterministic calculations, retrieval, simulation, CAD and PLM context, vision models, and controlled software actions.
Vision alignment
Adapt inspection and drawing workflows to organization-specific images, golden references, defects, annotations, and quality criteria.
ORION WORKFLOWS
Turn a model into an engineering job your team can review.
A useful workflow defines what Orion receives, which tools it may use, what evidence it must return, who reviews the result, and what can happen after approval.
01INPUT
02CONTEXT
03ORION
04TOOLS
05REVIEW
06ACTION
DRAWINGS · CAD · BOM · STANDARDS · IMAGESSOURCES · CALCULATIONS · FINDINGS · APPROVAL
EVALUATE THE WORK, NOT THE DEMO
Release Orion when engineers can verify how it behaves.
Generic model scores do not prove that an engineering workflow is ready for use.
Evidence
Does the answer point to the correct source, section, revision, image, calculation, or tool result?
Engineering rule
Does it apply the organization’s defined rule or clearly surface a conflict?
Completeness
Does it identify missing context instead of silently filling the gap?
Repeatability
Does the workflow behave consistently across equivalent cases?
Edge cases
Does it handle conflicting records, weak images, incomplete inputs, and tool failure safely?
Escalation
Does it stop and assign a qualified owner when the decision exceeds its boundary?
DO NOT PUBLISH A BENCHMARK UNTIL THE TEST SET, COMPARISON BASIS, AND REVIEW METHOD ARE APPROVED.
DEPLOYMENT BOUNDARY
Run Orion where the engineering work is allowed to live.
Sensitive product knowledge, drawings, plant information, supplier records, and operational data should remain inside the boundary the organization approves.
Private environment
Dedicated deployment for organization-specific data, models, integrations, evaluations, and users.
Customer-controlled
Run approved components in the customer’s cloud or on-premise environment where required and technically supported.
Visible operation
Inspect model and workflow version, sources, tool use, approvals, outputs, downstream actions, and failures.
ORION CLOUD · PLANNED
Mechanical-engineering models for ideas you are free to build.
Usage-based access is planned for individual engineers and smaller hardware teams working on non-sensitive projects, without operating a private model stack.
Get release updates01Explore a non-confidential product idea.02Review a drawing, calculation, or part choice.03Build a small workflow with shared Orion models.
Do not upload employer-confidential, export-controlled, customer-restricted, or otherwise sensitive engineering data to a shared cloud service.
START WITH ONE WORKFLOW
Bring the work your engineers already know how to judge.
We’ll map the inputs, expert decisions, tools, review criteria, and deployment boundary needed to build a useful custom Orion.
Design an Orion programme