Voice AI that runs entirely inside your network
We deploy Whisper-family and domestic ASR models tuned for your hardware (GPU or CPU), with a dedicated LLM layer that corrects misrecognitions, normalizes terminology, and produces summaries. No internet required. Designed for medical, legal, and government environments where confidentiality is non-negotiable.
Some recordings can't leave your network — patient consultations, legal depositions, classified briefings, internal interviews. Cloud transcription services require uploading the audio. Local inference does the entire pipeline (audio → transcript → correction → summary) inside your own infrastructure. Your data never reaches a third party.
Speech-to-text models still get domain words wrong: drug names, legal terminology, technical jargon, names of people and places. We add a specialized LLM that proofreads each transcript using your domain glossary — fixing misrecognitions, normalizing terms, cleaning up filler words, and optionally generating a concise summary. The result is a transcript you can ship as-is.
Audio enters your on-prem server. The ASR model transcribes. The LLM proofreads using your glossary. The final document is stored locally. Nothing leaves your network.
We deploy against the hardware you actually have — GPU, CPU-only, or fully air-gapped — so the solution fits your infrastructure reality.
Fast batch processing, real-time transcription, large archive workloads. Best when you have spare GPU capacity.
Runs on existing servers, no GPU required. Lowest-friction starting point for transcription work.
Fully isolated, no outbound network access. For the most sensitive workloads, including classified or proprietary research.
Because audio and transcripts never leave your network, the deployment fits cleanly into the compliance frameworks already in place in regulated industries.
Designed against personal information protection laws and medical information system guidelines.
Fully local processing maintains the confidentiality of client communications throughout the pipeline.
Deployment patterns align with security requirements for government information systems.
Every processing event is logged — who transcribed what, and when — for full traceability.
Multi-language including Japanese, optimized for your hardware budget — GPU when available, CPU when not.
Drug names, legal terms, internal product names — pre-load the glossary and the LLM uses it to correct each transcript.
Optional: every transcript also produces a paragraph summary suitable for chart notes, case files, or meeting minutes.
Cleans up colloquial speech, normalizes Japanese honorifics, removes filler words — ready to file.
Runs in fully air-gapped environments. No outbound calls, no telemetry, no surprise updates.
Process existing archives in batch, or transcribe live audio with low latency for meeting and interview workflows.
Hospital: clinical consultation audio is transcribed locally, proofread with the hospital's drug formulary glossary, and attached to the patient record.
Law firm: deposition recordings are transcribed and summarized on-prem. Nothing leaves the secured legal workstation.
Journalism: interview audio is transcribed locally with the publication's name and term glossary, ready for editing in minutes.
Government: internal briefings are transcribed inside the secure network, with full audit logs of every transcription event.
