Introducing Ultrafield

Audio is dense with information. The words matter, but so do the speakers, timing, entities, tone, and context around them. Most applications have to recover that information by wiring together separate transcription, diarization, and language-model systems.

We are building Ultrafield to make that path simpler.

A Voice AI lab and infrastructure platform

Ultrafield provides APIs for automatic speech recognition, speaker diarization and identification, transcript formatting, entity detection, sentiment analysis, and other forms of speech understanding.

The goal is straightforward: send audio once and compose the processing stages your application needs. The result should be structured, observable, and ready for the next step in your product.

Proprietary and open models

No single model is right for every language, acoustic condition, latency target, or budget. Ultrafield is building proprietary speech models while also providing access to open-weight models including Whisper large-v3, Whisper large-v3-turbo, and pyannote-based speaker processing.

Model choice remains visible. Teams can evaluate accuracy, speed, and cost against their own audio instead of accepting a black-box route.

From transcription to understanding

A transcript is often only the beginning. Ultrafield pipelines can add speaker turns, known-speaker identity, formatting, entities, sentiment, and custom processing after ASR.

Hosted language models such as GPT-OSS-120B extend that pipeline into extraction, classification, and summaries. An upcoming gateway will also make it possible to call third-party hosted models from providers such as OpenAI and Anthropic as part of the same chain.

Built around production constraints

Accuracy matters. So do inference speed and the cost of processing millions of minutes. Ultrafield is designed to deliver all three without forcing teams to maintain separate infrastructure for every stage.

Over time, that foundation will extend into low-latency voice-agent APIs for natural conversations that can handle interruptions and complex actions without rigid turn-taking.

Where we are

Ultrafield is taking shape now. The public API surface and access model will evolve as we work with early workloads, and the documentation will stay explicit about what is available and what is upcoming.

If you are building with difficult audio, sustained volume, or a multi-stage speech pipeline, talk to us or explore the documentation.