AI/ML That Reaches the Shop Floor
Not pilots. Not dashboards. Deployed, monitored models in production.
Why Platypus
The platypus is nature's most improbable animal. Duck bill, beaver tail, otter feet, venomous spur, lays eggs, nurses young. Mismatched parts that shouldn't work—yet it thrives at the boundary between water and land. That's us.
JMP Expert Statistical Engineering
DOE, SPC, reliability, MSA, JSL automation. The rigor your plant statisticians wish they had time for.
Shop-Floor Fluency
15+ years on the line. Production supervisor to Principal R&D Engineer to Data Science Lead across 60+ plants.
Fractional Leadership That Owns Outcomes
Embedded, accountable, outcome-priced. 90-day sprints, not open-ended retainers.
Deployed Systems, Not Slides
Three examples that show range: data products, GenAI systems, and manufacturing ML tied to operational value.
Live applications you can use right now
These are not mockups—they are production systems running on the same infrastructure as this site. Built with Django, Dash, and OpenAI.
A differentiator that reads immediately
This site is backed by an analytics and automation system we built for our practice.
It automates routine work, tracks operational health, generates documentation, and improves the portfolio continuously. The point is not novelty—the point is leverage, taste, and the ability to design systems that compound.
That same instinct shows up in product delivery: create reusable machinery, reduce cognitive drag, and make improvement part of the operating model.
Analytical depth: We contributed to writing the STIPS certification exam as an invited industry expert, led corporate-wide statistics training, and built a JMP Expert system that converts natural language into JSL scripts—bridging deep tool mastery with practical enablement.
See the systemInstrument the real workflow
Starts with the operational bottleneck, the human decision loop, and the metrics that matter enough to defend.
Ship the usable version fast
Prefers systems that work under realistic constraints over impressive prototypes that collapse under adoption pressure.
Turn one solution into a repeatable pattern
Documentation, telemetry, and deployment discipline are part of the product, not optional cleanup after launch.
Raise team capability along the way
Combines delivery with coaching so the organization ends up more capable than when the project started.
Ready for AI that deploys?
Ready for AI that deploys and statistics that hold up?
Let's run a 90-day sprint. We'll assess your AI/ML + stats maturity, deploy a high-impact model or statistical system, and transfer capability to your team. Outcome-priced. No open-ended retainers.