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HEALTHCARE

Healthcare does not need another impressive AI demo.

It needs software that respects the boundary between assistance and clinical responsibility.

Voyantt brings experience in real-time transcription, document processing, high-scale search, multi-tenant products, and human-reviewed automation to healthcare teams. We start with the data path, the person responsible for review, and what the software must never decide by itself.

Clinical intake processing
transcribe · extract · validate · route
600 concurrent users on real-time clinical transcription
HIPAA-aware
What We Can Help Build

What we can help build

Consultation and meeting transcription

A useful transcription workflow is more than speech-to-text. It includes consent and recording controls, audio quality, speaker handling, correction, document generation, access, retention, and the handoff to the system where the note belongs.

Voyantt has deployed real-time OpenAI Whisper transcription on self-hosted Jitsi infrastructure for 600 concurrent employees. That was not a clinical deployment. It is relevant engineering experience in the scale, latency, infrastructure, and workflow around transcription.

Medical and administrative document processing

Referrals, reports, forms, scans, and attachments can be classified and converted into structured fields using parsing, OCR fallback, and model-assisted extraction. For healthcare use, confidence and human validation should be part of the interface—not hidden implementation details.

Our existing document-intelligence work is proof-of-concept and cross-industry experience. A healthcare implementation would be validated against the client’s documents, terminology, permissions, and risk controls.

Search over approved knowledge

Teams should be able to ask a question against protocols, formularies, policies, or internal guidance and see the source material behind the answer. We build hybrid retrieval, access controls, citations, and review around the search experience.

Our production search experience includes a 330M-record hybrid index operating at 50–200ms. Healthcare relevance lies in the retrieval architecture, not in pretending that candidate search is a clinical case study.

Patient and provider workflow software

We build multi-tenant portals, role-based access, document uploads, notifications, status tracking, payments, and audit history. These foundations can support patient, provider, or administrative workflows when the specific integration and compliance requirements are established with the client.

Workflow integration

Scheduling, communications, document storage, payment, partner APIs, and existing internal products often need to work together before an AI feature creates value. We design the data ownership, authentication, failure handling, and recovery across those systems.

Our Position

How we think about healthcare AI

Proof of Delivery

Our current evidence

Our published portfolio does not yet include a production clinical deployment. It does include relevant building blocks:

We prefer that precise description to making a healthcare claim the portfolio cannot support.

First Steps

Questions we would ask first

01 Is the workflow clinical, administrative, or both?
02 Who is accountable for reviewing the output?
03 Which systems contain the source data?
04 What information may leave the current environment?
05 Which integration standard or vendor API is involved?
06 What should happen when confidence is low or a service is unavailable?
07 What must be retained, and for how long?
Start a conversation

Tell us what you are trying to make work.

No pitch deck. We will ask about the users, the current system, the constraints, and what cannot go wrong. If there is a fit, the next step is a written proposal covering the approach, scope, risk, timeline, and cost.