The Platform

Multimodal Fusion.
One Patient Timeline.

Longevity AI's fusion engine connects every clinical data source your patients generate and aligns it into a single longitudinal biological record.

EMR Clinical history
Labs Panel chemistry
Wear. Biometric streams
1 Unified timeline
Architecture Overview

Three Streams, One Fusion Engine

Input data flows through a normalized pipeline into a patient-level fusion model that generates the biological profile.

EMR Integration

Structured Clinical History at Full Depth

Most clinical AI reads the most recent visit note. Longevity AI ingests the full structured history: diagnoses, medications, procedures, referral outcomes, and specialist reports going back years.

  • Connects to major EMR platforms without custom development
  • Normalizes ICD and CPT codes across systems
  • Preserves longitudinal record depth, not just recent entries
EMR Connected
Diagnoses
88%
Procedures
72%
Medications
95%
Referrals
64%
Lab Panel Ingestion

Chemistry Data Across Time, Not Just the Last Draw

A lipid panel in January and another in July tell different stories about metabolic aging trajectory. Longevity AI reads the sequence, the intervals, and the deltas, not just the most recent values.

  • Ingests panel results from connected lab ordering systems
  • Calculates inter-draw deltas and trajectory slopes
  • Flags patterns that are only visible longitudinally
Lab Trend
Jan
4.2
Apr
4.9
Jul
3.8
Wearable Integration

Continuous Biometric Streams, Clinically Contextualized

Consumer wearables generate more continuous health data than any lab panel, but without clinical context the signal is noise. Longevity AI frames wearable streams against the patient's full biological record.

  • Ingests HRV, sleep architecture, activity, and SpO2 streams
  • Correlates biometric trends with lab and EMR events
  • Filters noise before surfacing clinically relevant patterns
Biometric Feed
HRV score
67
Sleep eff.
81%
Clinical Output

A Structured Biological Profile, Not a Data Dump

The fusion engine produces a structured biological risk profile covering key aging domains. Each domain carries a risk score, a trajectory trend, and a confidence indicator based on data completeness. All outputs are clinical decision support for physician review, not autonomous conclusions.

  • Biological age estimate with longitudinal trajectory
  • Domain-level risk scores: metabolic, cardiovascular, inflammatory
  • Physician-ready summary formatted for consultation use
Bio Profile Output
Metabolic
74
Cardio
58
Inflam.
42
Bio Age
38y

See the Platform in Your Clinical Context

A 30-minute demo walks through how Longevity AI connects to your existing data sources and what the biological profile output looks like for a sample patient.