Infrastructure built for the complexity of mobile
Device clouds, CI/CD integrations, telemetry loops, and AI-assisted test design, combined into a single managed quality layer that plugs into your existing stack.
Platform capabilities
Six capabilities. One managed quality layer.
Each capability is operated by our team and optimised for your app's specific device matrix, compliance requirements, and release cadence.
Real device coverage, 500+ iOS and Android configurations
Traffic-weighted device matrices from flagship iOS to sub-$200 Android. No emulators for production-accuracy testing. The devices your users actually have, not the devices your engineering team owns.
How it works
We cross-reference your app analytics to build a matrix covering 80%+ of your user population, including the low-memory Android models where most performance regressions appear first. Private device lab options available for PCI and HIPAA-scoped environments.
CI/CD integration, PR feedback in under 5 minutes
Native integrations with Bitrise, GitHub Actions, CircleCI, and Azure DevOps. Test runs trigger on PR creation and post results, including screen recordings for failures, back to the PR before the developer's next review.
How it works
Parallel device execution across the cloud reduces a 30-device smoke run from 45 minutes to under 5. Flake detection is built into the pipeline: tests that fail intermittently are automatically flagged for root-cause investigation rather than polluting the pass/fail signal.
Quality business review, KPIs your leadership tracks
Weekly reporting connecting crash-free sessions, checkout success rate, and app store rating to the specific test activity in that release cycle. Not just test counts, outcome metrics.
How it works
The QBR report is designed for an executive audience: one-page summary, trend lines for the three revenue-proximate metrics, and a clear next-action section. Optionally delivered as a Slack digest or Notion page alongside the full technical report.
AI-assisted test design, signal from noise
LLM-assisted test idea generation from crash cluster patterns, App Store review text, and user story acceptance criteria, reviewed and approved by test architects before execution.
How it works
We use production telemetry (crash clusters, failing synthetic journeys, RUM anomalies) as input to an LLM-assisted analysis layer that surfaces test case gaps. The output is a prioritised list of scenarios, not a generated test script, human judgement remains in the loop for every case that enters the test suite.
Security-first architecture, compliance from day one
SOC 2-aligned operational controls, HIPAA-aware practices for health data, PCI-aware test environments, data minimisation, and anonymised test data factories.
How it works
Every test environment is isolated. PHI is handled via HIPAA-aware practices using synthetic test data. Payment flow testing uses synthetic card data, no real cardholder data enters test environments. Device factory resets between sessions prevent data residue. We design our operations to align with SOC 2, HIPAA, and PCI DSS compliance frameworks. We do not currently hold certifications, see our Security page for current posture and roadmap.
Telemetry feedback loop, production informs testing
Production crash logs, RUM anomalies, and failing synthetic journeys automatically feed device matrix updates and test case recommendations for the next release cycle.
How it works
Most QA programmes operate in one direction: test before release, observe after. Our telemetry loop closes the cycle: production patterns from the last release directly update the test strategy for the next one. Crash clusters generate new test cases. Device models with high post-release error rates earn higher matrix weighting.
Device coverage
500+ real iOS and Android devices, weighted by your analytics
Our device pool spans iOS 14–18 on all current iPhone and iPad models, and Android 10–15 on 350+ physical device configurations, from flagship Google Pixel and Samsung Galaxy S-series to sub-$200 mid-tier devices representing the majority of global Android market share.
The matrix is constructed from your app's actual user-base analytics. If 40% of your crashes happen on Android 12 devices with 3GB RAM, your matrix weights those devices proportionally, not industry averages that may not reflect your specific user demographics.
Private device lab options provide dedicated physical hardware for apps handling PCI, HIPAA, or sensitive financial data, with full session isolation, device wipe between sessions, and compliance documentation for audit requirements.
500+
Physical devices
iOS 14–18
iOS coverage
Android 10–15
Android coverage
200+
Carrier configurations
The telemetry feedback loop
Most QA programmes are one-directional: test before release, observe afterwards. Our platform closes the loop so production intelligence continuously improves test strategy.
Release
App ships to production with test sign-off from the platform
Monitor
Crash, RUM, and synthetic journey telemetry collected in real-time
Analyse
Crash clusters and anomalies surface new test case candidates
Update
Device matrix weights and test priorities updated for next cycle
Test smarter
Next release cycle benefits from production intelligence
Integrates with your existing stack
Native integrations that plug into your CI/CD pipeline, crash analytics, RUM tools, and payment infrastructure, no custom connector work required.
CI/CD
Crash & Error
Real User Monitoring
Payments
Device Cloud
Feature Flags
Built for regulated industries
Security and compliance practices are applied to every engagement by default. Our infrastructure is designed to align with SOC 2, HIPAA, and PCI DSS frameworks, and we are transparent about where our current certifications stand. See our Security page for our current posture and roadmap.
Request security documentation- SOC 2 aligned operational controls (certification in progress)
- HIPAA-aware practices for health app engagements
- PCI-aware test infrastructure for payment flows
- Device factory reset between all test sessions
- Anonymised and synthetic test data factories
- Isolated private device labs for sensitive applications
- Data residency practices for EU and UK clients
Explore the platform in a 30-minute demo
We'll walk through device matrix selection, CI/CD integration, and the quality business review dashboard using a sample of your app's crash and analytics data.