Rammenta.com
A memory layer for your life and work.
A native iOS, watchOS, and macOS app that turns talk into memory: record or import any conversation and instantly get a clean, speaker-labeled transcript with an AI summary, action items, and the moments that matter, then ask questions across everything you've captured. Every model runs on the user's own device, fully offline; their data never leaves their device.
- Full on-device speech-AI stack: designed and built the entire pipeline to run locally in Core ML: transcription (WhisperKit / Apple SpeechAnalyzer), speaker diarization (FluidAudio), and biometric voiceprint identity (ECAPA-TDNN), with no servers, no external APIs, and no per-use cost.
- Private, instant search and insight: on-device vector search and RAG over the user's entire memory layer (local embeddings + sqlite-vec), with summaries, action items, and decision points generated by Apple Foundation Models, zero cloud dependency; works offline.
- The architecture advantage: a custom-built stack where every AI layer runs on the device erases cloud cost and the privacy and compliance risk of sending sensitive content off device.
Open Rammenta
K9 Operations
The operating system for pet-care facilities.
Replaced the spreadsheets, sticky notes, and manager memory that ran the resorts: automated checklist generation via Gingr APIs, inventory, labor-capacity analysis, and a CRM. Piloted in production. React 18/Vite on Supabase (Postgres/RLS); iOS + web. ~345k LOC, ~1,935 commits, 33 edge functions.
Open K9 Operations
