We bridge business analysis and product development: eliciting requirements, validating ideas, and carrying them through to launch. Six products owned end to end, from production SaaS to validated-concept ventures.
We elicit requirements, map processes, size markets, and validate ideas, then carry them through specs, prototyping, and launch. From a tool built to fix a real bottleneck at our founder's own workplace, to two production SaaS platforms, to three ventures taken through full discovery.
→See the workFour ways we move a product from a vague idea to something real, measured, and in users' hands.
Interviews, process mapping, and tight specs that turn fuzzy asks into a buildable scope.
Prototyping and shipping: serverless apps, AI pipelines, and the glue that makes them usable.
Market sizing, live data, and outcome metrics to prove an idea is worth the build.
Positioning, pitch, and the case study that turns a working product into traction.
Click any project for the full case study: problem, our role, what we built, and outcomes.
Six ideas, one origin story: something broken annoyed us enough to open a spec doc, and then ship the fix.
A serverless web app we built to kill hours of manual rostering at a retail store. It handles union rules, budgets, and AI-generated draft schedules.
Read case study →Turns a website audit into a client-winning pitch in under two minutes, benchmarked against a prospect's strongest competitor.
Read case study →A 23-module security, compliance & performance audit built on a two-stage, legally-defensible authorization model.
Read case study →Fleet-deployable sensor box mapping pothole severity city-wide via accelerometer + camera fusion. $40B+ TAM.
Read case study →Battery-free, clamp-on sensor turning the electricity grid edge into a stream of outage and fault data.
Read case study →Bank-verified trust infrastructure for shared living that gives 1.2M Canadian newcomers a portable rental reputation.
Read case study →We're happiest in the gap between a fuzzy problem and a working build: running the discovery, writing the spec, prototyping it, and watching real usage data tell us whether it was right. Most of our products started as something broken that annoyed someone enough to fix properly.
Have a problem that needs structured discovery, a spec, or a prototype to prove it out? Let's talk.
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