Healthcare AI products · Braga, Portugal

Clinical software built to be reviewed, traced and governed.

VGSI develops AI products that help healthcare professionals work through complex documentation and data without giving up human judgement. SICC is our lead product; Morpheus remains investigational.

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Anonymised SICC interface showing clinical documentation, coding suggestions and professional review
Product interface · anonymised demonstration data
Evidence linkedHuman reviewAudit trail
01

Working SICC MVP

02

Mandatory human oversight

03

Evidence-linked suggestions

04

Preparing for institutional evaluation

Member of NVIDIA Inception

Product portfolio

A portfolio built around clinical accountability.

Each product addresses a different workflow, but follows the same rule: AI supports; the professional reviews and decides.

Anonymised SICC interface for clinical coding support with human review

01 · Lead product

SICC

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.

  • Evidence-linked
  • Human review and approval
  • Auditable workflow
Learn more
Morpheus product illustration showing sleep signals, a hypnogram and supervised review

02 · Research and development · Investigational

Morpheus

Morpheus explores clinician-supervised review of multimodal sleep-study signals and information, keeping qualified professionals in control.

  • Research and development · Investigational
Learn more

Progression is subject to technical validation, clinical evidence, data rights, regulatory assessment and commercial readiness.

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.

Lead product

From documentation to accountable decision support.

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

01

Processes clinical documentation

Reads long, heterogeneous clinical records and organises the relevant detail.

02

Contextual coding suggestions

Proposes codes with the episode, history and clinical context in view.

03

Evidence-linked

Every suggestion points back to the clinical passages supporting it.

04

Human review and approval

Nothing is submitted without validation by the responsible professional.

05

Auditable workflow

A full record of suggestions, changes and approvals for internal audit.

A human-in-the-loop model, not autonomous coding.

SICC · Evidence linked
Anonymised view of the SICC workflow for document review and coding suggestions

For healthcare organisations

Designed for the teams accountable for the final decision.

SICC is intended for hospitals and healthcare organisations, clinical coding and audit teams, and clinical quality and operations functions.

  • Hospitals and healthcare organisations
  • Clinical coding and audit teams
  • Clinical operations and quality teams
  • In the future, sleep laboratories and qualified sleep professionals

Proposed evaluation pathway

From understanding the workflow to an informed decision.

A potential institutional evaluation is defined jointly and does not presume commercial deployment.

01

Understand

Map the workflow, accountable users and institutional requirements.

02

Define

Agree the scope, data, responsibilities and evaluation criteria.

03

Decide

Make a commercial decision only after reviewing the evaluation results.

04

Plan

Prepare integration, access, governance and controlled oversight.

Any evaluation proceeds only with jointly defined data, responsibilities and criteria.

Founders

Founders with paths that complement each other.

Care experience, product strategy and engineering applied to a shared purpose.

Vieira Gonçalves — Saúde e Inovação, Lda.A Portuguese healthcare AI product company, incorporated in 2026 and based in Braga. Early-stage, pre-revenue and founder-funded.
Ana Luísa Vieira

Ana Luísa Vieira

Co-founder · Medicine, clinical governance and product safety

Specialist in Pulmonology with Ordem dos Médicos competence in Sleep Medicine and European certifications in Respiratory and Sleep Medicine.

José Gonçalves

José Gonçalves

Co-founder · Strategy, product and technology

More than 15 years across software development, data systems and product creation, including invited teaching and technology ventures before VGSI.

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.

Contact

Let’s evaluate where accountable clinical AI can add value.

Talk to us about a SICC evaluation, technology or research collaboration, investment, or another enquiry.

Company
Vieira Gonçalves — Saúde e Inovação, Lda

Location
Braga, Portugal

Email
geral@vgsi.pt

Web
vgsi.pt

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