NONIO.AITechnology architecture: 6 engineered systems for consumer-app growth experimentation
Nonio runs monetisation and retention experimentation for mid-size subscription apps and games — as a delivered service first, a self-serve platform later. The name comes from the vernier scale, the instrument that reads finer than its main scale. This page maps the 6 proprietary systems the delivery runs on.
System overview · 6 systems as one closed loop
Client consumer product → 2. The Nonio SDK turns events into clean data → 1. Experiment orchestrator turns clean data into experiments → shipped through three delivery surfaces with zero app releases (3. Monetisation engine, 4. Creative generator, 5. Journey runtime) → outcomes feed 6. The dataset → priors feed back into scoring and ranking, sharpening the next cycle.
The 6 systems
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Where defensibility accumulates
Where defensibility accumulates
The dataset holds every experiment Nonio has run: what was tested, on which product, what it cost, and how conversion to paid, revenue per user and retention moved. Seeded on day 1 with the team's documented playbook, it feeds back into experiment scoring and variant ranking, so lessons learned at one client speed up the next. Building an equivalent record requires running the experiments; each year widens the gap, and the same records become the brain of the self-serve platform.
Demo video
[ VIDEO PLACEHOLDER ]
Demo not yet provided
The recorded walkthrough will be published at the stable URL /demo.
Product screenshots
IllustrativePlaceholder UI mocks — no client data, no measured results
Values shown are illustrative examples, not client data.
Illustrative event names and monitor states.
Illustrative lifecycle schematic — triggers, timing and content run as experiments.