Reliable data foundations for mobile products —
turn your app data into insight.
Free PDF · 5 actionable steps · Instant delivery
One person owns the full picture.
From offline-first field workflows to telemetry pipelines, dashboards, and AI features in production.
In 1–2 weeks, pinpoint what you're capturing, what's slipping through, and where to make the highest-value fixes.
React Native apps that work offline, validate data on-device, ensuring accurate capture even without a signal.
Instrumentation set up right, architecture designed, and dashboards your CTO actually opens on Monday morning.
Native AI integration into your app, plus the instrumentation that tells you if it's actually moving the numbers.
Clean pipeline with SLOs, cost monitoring, and alerting that catches failures before your customers do.
Get a model out of its notebook and into production — offline-capable, latency-optimized, running on-device.
Most mobile apps quietly miss key user actions before the data reaches your team. Get the free 5-step checklist to find out what yours is missing.
30-min audit call · No agency overhead · Clear gaps identified
A structured engagement model focused on clean instrumentation, trustworthy data flow, and analytics that actually supports product decisions.
Review existing mobile tracking and identify the most critical points where events are lost or faulty.
Analyse complete data flow from device to dashboard: instrumentation, validation, transport, delivery.
Redesign architecture from scratch — app instrumentation to pipeline structure and event schema.
Your analytics stay accurate as the product grows — new events added, schemas maintained, and data quality monitored on your behalf.
Analytics, mobile product, and operational systems work across PropTech, FinTech, and more.
An on-device AI model that estimates property value in real time — just by pointing your phone at a building. No server round-trip, no connectivity required.
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An offline-first inspection app for field teams — with on-device data validation and zero lost submissions, even in basements with no signal.
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From early prototype to initial public release — building the iOS wallet client and the analytics instrumentation that shaped every product decision along the way.
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Cross-platform mobile client for controlling and monitoring an intelligent household system, built for an international academic research group studying human–home interaction.
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Localizing an intelligent airport assistant for deployment in Sweden and Japan — ensuring the AI's tone, initiative, and error recovery behaviour aligned with local cultural norms.
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A data-driven platform for cyclists and city planners in Sweden — using GPS trace analytics to surface infrastructure bottlenecks and prioritise investment decisions.
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Companies with mobile apps or connected products often split ownership across mobile engineering, analytics, and reporting. That is where trust in the data starts to break.
Events get tracked inconsistently. Pipelines become fragile. Dashboards arrive too late to shape real product decisions.
My role is to remove that handoff risk. I work across instrumentation, data flow, telemetry reliability, and the decision layer — so your team gets a system that is usable, trusted, and built for scale.
5-Step Mobile Analytics Guide
Get the free checklist. Find out if the data behind your product decisions is complete — or if your app is quietly missing key user actions.
The guide is on its way — check your spam folder if it doesn't arrive within a minute.
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The most common gap I find: key user actions tracked in the app but never arriving clean. Step 2 in the guide shows exactly where.
Book a free 30-min call and I'll go through your specific setup with you.
Schedule a free call →5-Step Mobile Analytics Guide
