Language and documents.
Large language models and speech recognition that transcribe, read, draft, and structure professional records.
What it is.
Albor Systems builds AI systems that work with the spoken and written material of professional work.
They use large language models and speech recognition to transcribe, read, draft, and structure professional records.
Typical inputs and outputs.
Inputs
- Spoken material, such as a consultation
- Written records and documents
Outputs
- Transcribed speech
- Drafted records, such as a clinical note
- Records structured in a standard form
Where a person reviews the output.
Every draft goes to the person responsible, who reviews it, corrects it where needed, and decides. In clinical documentation, the clinician reviews and signs the note.
Deployment options.
These systems can run in secure cloud, private, or isolated environments, chosen by how sensitive the data is. Where data must stay in-house, language models can be configured to run on an organization’s own machines.
The technology used.
- Large language models, for reading, drafting, and structuring text
- Speech recognition, for transcribing spoken material
Selected work in this area.
Each entry opens in full on What we build, with its figure and the other areas it uses.
When others rely on you, you need systems you can rely on.
Albor Systems welcomes conversations with investors, strategic partners, and organizations whose work depends on accurate output.