Case studies you can verify.

FCT Technologies builds and ships its own software, and this page lists what is public: two products, both built end to end by FCT's one-person engineering team rather than outsourced or white-labeled. Villain Arc is a native iOS strength-training app, live on the App Store since November 2025 — SwiftUI and SwiftData with CloudKit sync, on-device Foundation Models behind its progression suggestions, plus Siri, Widgets, and Live Activities. Transcription Studio is a native Mac and iPhone app that transcribes a recording and separates the speakers entirely on-device: WhisperKit for speech, NVIDIA's Sortformer for diarization, no audio ever leaving the machine. It is built and in verification rather than released, and the status badge on its card says exactly that. Everything else stays off this page until there is something real to show, so what is here is work you can check rather than a roadmap.

Live on the App StoreiOS Fitness Platform

Villain Arc

Plan sessions, track sets in real time, and get actionable progression suggestions powered by deterministic training rules plus on-device intelligence.

  • State-driven workout lifecycle: pending → active → summary → done.
  • AI-assisted progression suggestions with outcome tracking across sessions.
SwiftUISwiftData + CloudKitFoundation Models (on-device AI)App Intents + App ShortcutsActivityKit Live ActivitiesWidgetKit
Native app · built, in verificationOn-Device Transcription & Diarization

Transcription Studio

On-device transcription with live speaker diarization — who said what, computed entirely on your own Mac or iPhone.

  • Separates speakers on-device — a who-said-what transcript with no cloud, no API keys, and no audio leaving the machine.
  • Runs NVIDIA's Sortformer diarizer locally — re-exported from the source checkpoint after the public conversion wouldn't load.
SwiftUI (universal Mac + iOS)WhisperKit · Core ML WhisperNVIDIA Sortformer DiarizationApple Neural Engine (Core ML)AVFoundation CaptureScreenCaptureKit System Audio