Privacy, security and clinical safety
Trust is engineered into every step.
Navnia protects sensitive healthcare data behind server-enforced boundaries, keeps the patient's own words close to every structured output, and uses specialised AI systems to check different parts of the consultation.
From first contact to clinician review, the system is designed to preserve provenance, surface uncertainty and keep clinical decisions with the responsible professional.
Read our privacy noticeHow Navnia approaches safety
Protect the data. Ground the output. Check the clinical picture.
- 01
Data minimisation by design
After identity intake, direct identifiers are separated from the clinical context used by background clinical systems. Operational monitoring is designed to use metadata rather than patient text wherever possible.
- 02
Protected healthcare data boundary
Protected records and product actions pass through authenticated, server-side services. Patient ownership, clinic scope and staff permissions are checked at the data boundary rather than trusted to the browser.
- 03
Evidence stays beside the output
The transcript remains the source of truth. Facts, direct denials, corrections and clinical-note evidence can be traced back to the patient's words or the source passage used to prepare them. Reviewers can inspect source-linked excerpts without relying on hidden model reasoning.
- 04
Specialist systems, not one unverified answer
Ella does not rely on one model response. Separate systems maintain the patient story, retrieve relevant clinical information, examine diagnostic possibilities and check questionnaire coverage. Where useful, these systems run in parallel before validated results are merged into one versioned consultation state.
- 05
Clinical risks remain explicit
Present red flags, direct denials, unresolved safety questions and separate complaint threads remain distinct in the clinical state. Ella uses that evolving picture to choose the next useful question and carry forward configured safety-netting. Silence is not treated as a denial, and one complaint does not silently overwrite another.
- 06
Failures are contained and decisions remain human
Structured schemas, evidence references, version checks, bounded retries and fallback models reduce the chance that an unsupported or failed output silently changes the record. Clinicians can inspect the prepared information and decide what happens next.
Where Navnia is today
Public beta, built for rigorous evaluation.
Navnia is open in public beta. We are testing complete user journeys, running practice-based evaluations with medical practices and collecting structured feedback from clinicians, teams and patients.
Public beta
People can explore Navnia's conversation, coding and simulation products in controlled demonstration environments and help shape the next release.
Practice-based evaluation
We are running supervised practice scenarios with medical practices to test how Ella fits reception, care navigation, history-taking and clinical-review workflows.
Safety and performance testing
We are measuring clinical completeness, missed information, red-flag coverage, evidence quality, latency, reliability and usability across synthetic and supervised scenarios.
Scaling the company
We are looking for clinical evaluation partners and investment to expand testing, strengthen the evidence programme, build integrations and scale the platform.
Evaluate Navnia
Test Navnia against your workflow.
If you lead a GP practice, clinical service or healthcare organisation, we can design a focused evaluation around your pathways, review model and agreed success measures.
If you invest in healthcare technology, we can share the architecture, evidence programme and plan for scaling Navnia.