Products
Auditable clinical software developed by VGSI and designed for evaluation with healthcare organisations.
Product portfolio
Each product addresses a different workflow, but follows the same rule: AI supports; the professional reviews and decides.
01 · Lead product
Working MVP · Preparing for institutional evaluation
SICC supports clinical coding with contextual suggestions linked to source evidence, mandatory professional review and a traceable record of decisions.
02 · Research and development · Investigational
Morpheus explores clinician-supervised review of multimodal sleep-study signals and information, keeping qualified professionals in control.
Progression is subject to technical validation, clinical evidence, data rights, regulatory assessment and commercial readiness.
Lead product
SICC helps clinical coding teams read documentation, propose codes in context, and justify each suggestion with the clinical evidence behind it. The final decision always rests with the professional.
Working MVP · Preparing for institutional evaluation
Reads long, heterogeneous clinical records and organises the relevant detail.
Proposes codes with the episode, history and clinical context in view.
Every suggestion points back to the clinical passages supporting it.
Nothing is submitted without validation by the responsible professional.
A full record of suggestions, changes and approvals for internal audit.
A human-in-the-loop model, not autonomous coding.
The problem
Clinical teams work with information scattered across systems and formats. Manual review is slow, and the reasoning behind each decision is not always recorded.
Clinical notes, reports and structured data live in different systems, in different formats.
Reviewing long documentation consumes specialist time that is needed elsewhere.
Without an explicit link to evidence, justifying a decision at audit becomes slow work.
Talk to us
We welcome conversations with healthcare institutions, clinical coding teams, researchers, technology collaborators and investors.
For healthcare organisations interested in a controlled evaluation of SICC.
Send a messageFor research, clinical or technology teams.
Send a messageFor investors following applied healthcare AI.
See the investor pageFor anything else.
Send a message