Human-in-the-loop AI
The professional reviews, corrects and approves; the system proposes and records.
Technology
How we build clinical software.
Explainability, auditability and human oversight as baseline requirements, not extras.
Technology and differentiation
Clinical software that links outputs to evidence.
We build for settings where every output has to be understood, reviewed and justified.
Explainable outputs
Each output points to the evidence behind it, in clinical language.
Audit trails and governance
A full history of suggestions, decisions and who signed off on each step.
Dedicated institutional deployment
Architecture prepared for isolated institution- or site-specific profiles, using hospital-controlled local infrastructure or a dedicated EU/EEA cloud environment.
Institutional integration
API-ready, to fit the systems institutions already run.
Model evaluation
Systematic evaluation and controlled deployment ahead of any expansion.
Cloud development, institutional deployment
VGSI plans to use NVIDIA-accelerated computing on AWS for model development, evaluation and optimisation. Institutional deployment may use a local or dedicated-cloud profile; the data boundary, permitted traffic and external services will be agreed with each institution.
Governance and trust
In healthcare, an answer without context is not enough.
Clinical software should show where each suggestion came from, preserve human judgement and leave a clear record of the process.
Cloud development, institutional deployment
VGSI plans to use NVIDIA-accelerated computing on AWS for model development, evaluation and optimisation. Institutional deployment may use a local or dedicated-cloud profile; the data boundary, permitted traffic and external services will be agreed with each institution.
Visible evidence
Every suggestion points back to the clinical context supporting it.
Human oversight
The professional confirms, corrects or rejects before any final decision.
Traceability
Suggestions, changes and approvals remain documented.
Controlled deployment
Models are evaluated before any expansion in use.
Technology ecosystem
Programs we take part in.
VGSI is a member of NVIDIA Inception and AWS Activate. These programs provide access to technical resources, cloud infrastructure support and startup ecosystem opportunities as we validate and scale our healthcare AI products.
- Member of NVIDIA Inception
- AWS Activate member
Program membership does not imply investment, sponsorship, endorsement or a commercial relationship.
Talk to us
Let’s evaluate where accountable clinical AI can add value.
We welcome conversations with healthcare institutions, clinical coding teams, researchers, technology collaborators and investors.
Evaluate SICC
For healthcare organisations interested in a controlled evaluation of SICC.
Send a messageTechnology and research collaboration
For research, clinical or technology teams.
Send a messageInvestors
For investors following applied healthcare AI.
See the investor pageGeneral contact
For anything else.
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