WellBeings

Product Roadmap Definitions

Signal Layer: Capture & Connect

”The body speaks in many languages — this is how we listen."

Objective: Seamlessly ingest high-fidelity, multimodal health data across time, device, and context.
Includes:

  • Biotelemetric Protocol

  • Defines what data is captured, when, and how — including cadence, validation logic, and device compatibility.

  • Multimodal Middleware Layer

  • Standardizes and synchronizes data across systems, ensuring interoperability and semantic consistency.

  • Multimodal Data Engine

  • Fuses biological, behavioral, environmental, and contextual signals into a unified signal graph.

Intelligence Layer: Interpret & Understand

"Not just what’s happening — but how it connects, and why it matters."

Objective: Transform raw signals into adaptive, protocol-driven insights unique to each individual.
Includes:

  • Protocol Insight Engine (PIE)

  • Applies expert protocols to interpret deviations, patterns, and thresholds across modalities.

  • Health Fingerprint

  • A dynamic representation of an individual’s longitudinal health profile, capturing baselines and adaptive norms.

  • Isolated & Symbiotic Awareness

  • Enables insights from each modality both independently and in relation to others, to understand systemic interdependencies.

Decision Layer: Adapt & Act

"Every insight is pressure-tested in your real world — and gets smarter over time."

Objective: Deliver context-aware, precision-personalized recommendations and interventions.
Includes:

  • Intervention Intelligence Graph (IIG)

  • Models the relationships between interventions, health signals, and outcomes, adapting with user feedback over time.

  • Ensemble Agents Intelligence (EAI)

  • A collaborative system of specialized AI agents that analyze, reason, and adapt at scale.

  • Health Knowledge Graph

  • A causal network that explains how and why health data points shift across time, context, and modality.