LINC Innovations · Mobile software, verified on real hardware
Your AI ships code fast. I prove it works on the phone in your customer’s hand.
AI agents build, install, drive, record, and debug mobile apps on a bench of real phones, watches, and tablets. One engineer runs the bench: a decade of test infrastructure at Amazon, Paramount, and Ticketmaster.
The Device Truth Audit
AI assistants merge mobile code faster than any team can verify it on real devices. Simulators pass what phones fail.
Flaky suites bury real regressions underneath the noise. The gap between “CI is green” and “it works on a phone” is where releases fail.
Two weeks. Week one: your CI failure history, clustered by root cause.
Week two: the top offenders, reproduced on physical hardware - screen video, device logs, UI-tree diffs, breakpoint-level root cause. You get a ranked fix plan and keep it.
I diagnose and rank. Your team implements.
Fixed price, from $7,500: one app, up to two platforms. No retainer. If there’s nothing worth fixing, the report says so.
This isn’t for pre-launch teams or teams without a CI failure history yet - there’d be nothing to diagnose. It’s for teams that already ship, don’t trust their suite, and want to know why before the next release.
The clustering system I built there, at 98% accuracy. The same method runs week one of every audit.
Android, iOS, Wear OS, watchOS - one shared Kotlin codebase.
Physical devices wired to AI agents that install, drive, record, and debug.
Our own fleet, every push gated by tests - the same gate this audit points at yours. Self-reported: the evidence dossier is the product.
Built in the factory
SniperPulse
Shot detection & stability analysis for marksmen
In the lab
PrecisionLevel
Digital spirit level and inclinometer
DawnCup
Watch-first workout intensity tracker
BlueprintRoom
Room-building game that teaches kids spatial math
Every audit method (device bench, log capture, UI-tree diffing) is proven on these apps first. SniperPulse ships across four platforms - if the tooling catches regressions there, it catches yours.
The lab apps ship when they’re proven. Not before.
LINC is Andrey Pogorelyy: a decade of mobile and test infrastructure at Amazon Prime Video, Paramount, and Ticketmaster. I built the machine-learning test-triage system at Prime Video that clustered 500K+ test results a month.
Then I built my own factory: AI agents that verify software on real hardware. I use AI agents for everything - and trust none of it until it runs on a real phone.
The consultancy funds the longer project: software for the people the industry can’t afford to serve.