01 The platform

A patient is a timeline,
not a collection of tiles.

InSIDE™ is being built to bring the signals already present around a neonatal bed into one coherent, time-aware view. The goal is simple: help a care team see a change taking shape, not just the alarm it eventually triggers.

Discuss a deployment
Research-stage systemMultimodal · Edge-first · Human-led
A neonatal intensive care pod with an incubator and monitoring equipment
THE REAL ENVIRONMENT

InSIDE™ is designed around the equipment, interruptions and clinical judgment already present at the bedside—not an idealized lab.

U.S. Navy / MC3 Jake Berenguer · Public domain ↗

Signals become useful
when they share context.

A brief oxygen dip means something different when a baby has just turned over. A temperature change means something different when perfusion and heart-rate behavior are shifting at the same time.

InSIDE™ preserves those relationships. Each stream is time-aligned, checked for quality and attached to a longitudinal patient model. The system is meant to support a clinician’s question—what changed, and what changed with it?—without pretending there is one magic number.

01
ALIGNED // LIVE148 BPM

Cardiac

Heart rate, rhythm and variability—read as a pattern over time, not a single number.

02
ALIGNED // LIVE96 % SpO₂

Oxygenation

SpO₂ trends are interpreted alongside motion, respiratory behavior and signal quality.

03
ALIGNED // LIVE36.8 °C

Thermal

Non-contact temperature maps can surface peripheral change and evolving spatial patterns.

04
ALIGNED // LIVELOW STATE

Movement

Position, activity and stillness help separate physiological change from ordinary motion artifact.

05
ALIGNED // LIVE30 FPS

Video

Visual features add respiratory and behavioral context without becoming the clinical record.

06
ALIGNED // LIVE06 EVENTS

Clinical events

Interventions and observations give the model the context required to make a trend meaningful.

Four moves.
No black box.

Every stage has a job, an owner and a boundary. That is how a research model becomes something a hospital can evaluate responsibly.

  1. 01

    Capture

    Collect continuous physiological, thermal and behavioral streams using modular bedside hardware.

    LIVE
  2. 02

    Align

    Synchronize timestamps, flag signal quality and separate identity before analytical processing.

    EDGE
  3. 03

    Model

    Compare current trajectories with the patient’s own baseline and clinically labelled outcomes.

    TIME SERIES
  4. 04

    Explain

    Show the signals and events behind a risk change so the care team can investigate in context.

    HUMAN REVIEW
PATIENT

A live, readable trajectory.

Care teams can move from a warning to the exact sequence of physiological and observed events that preceded it.

UNIT

A common operating picture.

At-a-glance views help teams see which patients are stable, changing or need a closer look—without replacing bedside assessment.

RESEARCH

An evidence trail.

Predictions, labels and outcomes can be reviewed together, making model performance auditable during validation.

Built for clinical validation

See the whole patient.
Keep the clinician in charge.

Read the science Meet the team