Automate repetitive administrative tasks on your own premises without exposing client or patient data to public cloud chatbots.
We build and deploy high-performance local language models and speech-to-text systems. From post-meeting attendance note drafts for solicitors to messy financial statement extraction for accountants, all data stays under your physical control.
Audio, notes, and documents are never sent to external AI providers or used to train models.
Models never write autonomously to records. Professionals review and confirm every draft.
Inference runs on dedicated on-premises hardware or isolated UK private hosting.
We do not build generic chatbots. We build focused pipelines for tasks where staff spend hours re-typing or formatting information.
Solicitors record verbal impressions after a conference or call. Local speech models transcribe the audio, extract key chronology and follow-up actions, and format a draft attendance note ready for fee-earner approval.
Extract tabular data from unstructured PDF bank statements, photo receipts, and invoices without sending client financial data to public cloud vision APIs. Outputs clean CSV records for bookkeeping.
Clinicians dictate periodontal probing depths, BPE scores, and restorative findings during treatment. The model formats notes directly into UK clinical nomenclature for one-click pasting into practice software.
Carers speak brief observational updates at the bedside. Models format notes into structured fluid charts, dietary records, and shift handover summaries, syncing locally with care management software.
Before writing a line of code, we enforce strict technical guardrails to protect your professional obligations.
Models run on dedicated hardware within your physical office or an isolated UK private cloud instance. Your data never passes through multi-tenant external endpoints.
When AI systems consult internal records for context, connections are strictly read-only and logged. Models cannot overwrite, delete, or alter historical files.
Every generated output is presented as a draft. A qualified team member must review and explicitly approve the text before it is filed to a client or patient record.
Speak with an engineer about testing a private model on one specific administrative task.