fazit.
EST. 2026 • BERLIN

On-device intelligence.
Built for the mission.

Fazit AI is the platform for secure, local-first call transcription and intelligence. Our architecture guarantees that audio is never recorded and data never leaves the device.

Why we exist

Modern client work — whether in law, finance, consulting, or high-stakes enterprise — depend on conversations that must remain private. Current AI tools require sending audio to the cloud, creating recordings, and introducing third parties.

Fazit was designed from first principles to eliminate that risk. Transcription and intelligence generation happen entirely on the user's Apple Silicon Mac. Audio exists only in volatile memory and is destroyed the moment structured notes are produced.

This is not a feature. It is the product.

Architecture you can audit.

  • • Dual physical audio streams for perfect 1:1 attribution
  • • RAM-only ring buffer — no disk write path exists
  • • Local STT (Parakeet CoreML) + local LLM (Ollama / Foundation Models)
  • • Direct write to user-controlled Obsidian vault or folder
  • • Fully open source. Reproducible builds. Verifiable invariants.
Fazit secure local data flow: audio captured to RAM buffer only, processed on-device, written as text to user vaultYour Mic"You"Call App"Them"RAM-Only BufferAUDIO NEVER WRITTEN TO DISKDestroyed in <1s after transcriptionOn-Device AISTT + LLMYour Vault (.md)
EVERYTHING HAPPENS LOCALLY. AUDITABLE. NO EXCEPTIONS.

Built for environments that cannot afford risk

01

Coaching & Consulting

Session notes and follow-ups where full presence matters and clients never sign up to being recorded.
02

Government & Public Sector

Policy, inter-agency, and citizen-facing work that demands auditable, local intelligence without third-party exposure.
03

Legal, Finance & Regulated

Attorney-client, M&A, board, and compliance conversations protected by architecture rather than policy.
Principles

We ship the architecture, not promises.

Audio is destroyed before any note is written.
All models run locally or on-device.
The source is open and the invariants are verifiable.
We do not train on your data. We never see it.

Fazit is not another productivity tool. It is infrastructure for trust.