Project library
Real constraints. Useful outcomes.
Selected systems we have built across AI-assisted workflows and mechanical engineering. Public examples are concise where client details cannot be shared.
01 / AI-assisted workflow
Engineering documentation copilot
An internal assistant for requirement traceability and design note drafting, with mandatory engineer review.
Goals, constraints, and revision history.
Draft options, tradeoffs, and risk callouts.
People check, edit, and approve.
- The problem
- Requirements, constraints, and revision history were difficult to assemble into consistent design notes.
- The build
- An assistant prepared traceability, draft notes, risk callouts, and documented tradeoffs from structured engineering context.
- The control
- Engineers retained exceptions, approvals, and final wording through mandatory review gates.
The project summary covers the workflow and review boundary. Performance measurements are not published here.
Read the full project story02 / Mechanical engineering
Electromechanical fixture platform
A modular fixture family that replaced fragmented setups and created a cleaner path for future revisions.
- The problem
- Fragmented fixture setups slowed validation and required repeated alignment work.
- The build
- Unified geometry and a modular fixture family, with a clear tolerance strategy and build-ready release outputs.
- The outcome
- Reduced setup time, improved repeatability, and a clearer path for future revisions.
Quantitative results are shared when the measurement context can be disclosed.
03 / Mechanical engineering
Compact motion stage redesign
A constrained mechanism redesigned for better stiffness while keeping manufacture and service access in view.
Aggressive packaging constraints.
Stiffness, manufacture, and service access.
Buildable geometry. Clear handoff notes.
- The constraint
- The available envelope limited the mechanical options.
- The response
- Reworked the mechanism to improve stiffness while preserving manufacturability and serviceability.
- The release
- A buildable revision with clearer assumptions, review notes, and a controlled release path.
Quantitative results are shared when the measurement context can be disclosed.
What could work better?
One conversation is a good place to start.