Ops Excellence brings together the structured problem-solving methods used by Black Belt practitioners — Thought Maps, Process Maps, MSE, Components of Variance, and Design of Experiments — into a single, AI-guided workspace.
What we believe
Most engineering problems are not solved by a single brilliant insight. They are solved by a disciplined sequence: ask the right questions, map the process, validate the measurement system, decompose variation, then run experiments. Ops Excellence makes that sequence the default workflow rather than an aspiration.
The methodology
- Thought Map — capture every theory and question about the problem; link each one to evidence as it accrues.
- Process Map — make the inputs, outputs, and noise factors visible before you measure anything.
- Measurement System Evaluation — confirm the gauge can see what you need to see (Gage R&R, X̄/R, Individuals/MR).
- Components of Variance — find out where variation actually lives using nested sampling and the Sanders R̄/d₂ method.
- Design of Experiments — change factors deliberately, with full ANOVA, residual diagnostics, and Bayesian optimisation.
The platform
Each tool runs in the browser with a Python statistical engine on the back end (statsmodels, scipy, pyDOE2). A multi-agent AI assistant — built on LangGraph with specialist agents per tool — guides users, interprets results, and flags missing analysis steps. Projects are cloud-hosted and shareable with collaborators.
Who we serve
R&D engineers, manufacturing engineers, process engineers, quality teams, and Green/Black Belt practitioners working on data-driven improvement projects.
Get in touch
For partnerships, training enquiries, or feedback, reach the team via the in-app feedback button or through the support chat on the home page.