Transcriber
Real-time speech-to-text app delivering fast, accurate multilingual transcription for meetings, lectures, and interviews — plus offline audio-file transcription.
AI
AI that keeps unit economics — on-device Core ML where privacy and cost matter, cloud AI where it earns its keep.
Core ML and Neural Engine work that stays private, offline-capable, and free of per-token burn.
Credits, paywalls, and annual plans so AI features do not eat the margin after the novelty wears off.
Speech, insights, and product intelligence on the server — wired cleanly into native Swift clients.
Transcriber
Real-time speech-to-text across 33 languages with credit billing — AI product mechanics that stay sustainable.
We run a senior-led AI-SDLC: AI handles the busywork so engineers stay on the product. Delivery is faster, and the quality bar is higher — including architecture and App Review.