ProfileIQ

A living health baseline for earlier, more personal support.

ProfileIQ connects consented health and wellbeing signals, learns what is normal for each person and identifies meaningful change over time. It then helps guide the person towards an appropriate next step through the organisations and care pathways they already trust.

Individual

ConnectCheck-ins, devices, diagnostics, health records and personal context, with consent.

UnderstandAn individual baseline, not a generic average.

DetectMeaningful change and patterns for review.

RouteOptions for an appropriate next step.

What ProfileIQ solves

Most tools capture one moment or one signal.

ProfileIQ is designed to interpret change across signals and over time. Many tools capture data. ProfileIQ is designed to connect the pattern and support the next decision.

Before — signals held separately
After — one connected baseline
How it works

Connect. Understand. Detect. Route.

Four stages, in order. Each stage is bounded by consent and, where relevant, by clinical governance.

Step 1 — Connect

Bring the signals together

Bring together consented data from check-ins, devices, diagnostics, health records and relevant personal context.

Step 2 — Understand

Learn what is normal

Establish an individual baseline rather than comparing everyone with a generic average.

Step 3 — Detect

Identify meaningful change

Identify meaningful changes, emerging patterns and signals that require review.

Step 4 — Route

Guide the next step

Guide the person towards an appropriate next step, from self-guided support to an existing organisational or clinical pathway.

What the platform produces

Five health intelligence outputs, each with a current maturity status.

Status labels describe where each output is today. They will be updated as governance, pilots and validation progress.

Individual baseline

A personal pattern built from consented signals over time.

In development

Meaningful-change indicators

Indicators that several signals have moved together in a way that warrants review.

Evidence-informed

Support-context view

What support is available to that person, and which routes they have consented to.

In development

Governed routing recommendations

Options presented to the person, with human oversight for higher-risk pathways.

Concept

Privacy-preserving cohort insights

Aggregated organisational reporting with no identifiable individual health data.

In development
Safety and boundaries

Ordinary change and high-risk signals are handled differently.

Ordinary change detection presents proportionate, consented support options to the individual. High-risk signals are removed from ordinary interpretation and handled through a governed safety workflow with defined human oversight.

What ProfileIQ does not do. It does not diagnose, prescribe, provide treatment advice, make clinical decisions, replace emergency services or act on a person's behalf without consent.

Ordinary change

Interpreted against the person's own baseline, then presented as proportionate support options.

High-risk signal workflow

Moves into a governed safety workflow with human oversight and defined escalation boundaries, not ordinary scoring.

The product narrative

Measure. Monitor. Prevent.

The three jobs ProfileIQ is designed to do, in sequence.

01 — Measure

Build a personal baseline

Establish what is normal for that person across the consented signals that matter to them.

02 — Monitor

Watch for meaningful change

Look for movement away from that baseline across sleep, recovery, behaviour, mood, symptoms and biomarkers.

03 — Prevent

Offer an earlier next step

Present consented, proportionate support options while there is still time for a smaller intervention to help.

Evidence roadmap

What is evidence-informed, and what still needs validating.

The signal framework is evidence-informed. Pilot methodology, model governance, bias testing, outcome measurement and publications are published in the Evidence & Trust hub as they become available.

  • Signal framework Evidence-informed
  • Change detection models In development
  • Routing and support logic Concept
  • Safety workflows and governance In development
  • Outcome validation Planned
Partnership

Discuss a pilot or an integration.

Early conversations can cover use case, data availability, governance, pilot design and evidence requirements.