Inference Telemetry for Product Teams
Instrument model calls, session context, and outcome events so product managers can read latency and confidence without waiting on a research sprint.
Neuralappnet
Application analytics built around how neural models behave inside real products — not lab notebooks.
2,840
Practitioners enrolled since 2022
37
Product teams across the UK & EU
11 wks
Typical flagship completion window
Programmes
Each programme connects instrumentation, dashboards, and decision rituals so inference analytics become part of weekly product rhythm.
Instrument model calls, session context, and outcome events so product managers can read latency and confidence without waiting on a research sprint.
A compact path for mobile and edge teams who need privacy-aware sampling of on-device inference without flooding the analytics warehouse.
Why Neuralappnet
We teach a shared vocabulary for request, model version, confidence band, and user outcome — so dashboards stop arguing with themselves.
Examples and case studies reflect UK and EU shipping cycles, privacy expectations, and stakeholder reviews that actually happen on calendars.
Every programme names what telemetry cannot prove. You leave knowing which questions still need qualitative research.
Voices
“The module on confidence-band histograms changed how we triage false positives in our recommendation surface. I still wish the cost-attribution lab had more Android edge cases.”
Amelia Crowe · Product Analytics Lead, Leeds
“We used the Inference Telemetry syllabus to rebuild our weekly review. Latency percentiles finally sit next to conversion, not in a separate Slack channel.”
Client in fintech · London
Next step
Start with a programme, or ask us how Signal Desk coaching fits a UK-based team already mid-migration.