01
Heart rate
Continuous rate and variability patterns
LIVE // 8 SEC148 BPM
InSIDE™Request a briefing Continuous neonatal intelligence
See deterioration
before it becomes crisis.
InSIDE™ unifies live biosignals, thermal imaging, video and motion into a predictive view of every patient—built for the realities of neonatal care.
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Heart rate148BPM
Oxygen saturation96% SpO₂
Temperature36.8°C
MotionLOWSTATE
ThermalLIVEMAP
Video30FPS
Heart rate148BPM
Oxygen saturation96% SpO₂
Temperature36.8°C
MotionLOWSTATE
ThermalLIVEMAP
Video30FPS
01 The signal problem
In the NICU,
more data has not
meant more clarity.
Conventional monitors watch thresholds in isolation. Clinicians are left to connect the dots across fragmented systems, while constant false alarms compete for attention.
InSIDE™ is being designed to understand the patient as one living system—not six disconnected streams.
177
alarms per patient, per day
reported in a neonatal intensive care setting
87.5%+
of alarms may be false—creating the conditions for alarm fatigue and delayed recognition.
02 One physiological picture
THE InSIDE™ PLATFORM
Every signal.
One evolving patient model.
Continuous multimodal monitoring becomes context: a time-aware model that can surface subtle patterns earlier, suppress noise, and give the care team a single source of truth.
PATIENT 0427 — STREAMING--:--:-- ISTSECURE EDGE NODE 03
THERMAL // LIVE
--:--:-- IST
DIGITAL TWIN0427PRETERM // <34 WKS
EVENT LEDGER00 / 06 · LIVE
ECG3 LEAD148bpm
I
II
III
SpO₂96%
TEMP36.8°C
MOTIONLOWstate
EARLY-WARNING MODEL
Current risk08/100
✓
Baseline stable No significant deterioration signature detected.
03 Multimodal by design
Six streams.
One clinical context.
No single vital sign tells the whole story. InSIDE™ combines physiological, visual, thermal and behavioral data to detect changes that isolated thresholds miss.
02
Oxygen saturation
Oxygenation trends in clinical context
LIVE // 8 SEC96 % SpO₂
03
Temperature
Core and peripheral temperature change
LIVE // 8 SEC36.8 °C
04
Motion
Movement state and artifact awareness
LIVE // 8 SECLOW STATE
05
Thermal
Non-contact perfusion pattern mapping
LIVE // 8 SECLIVE MAP
06
Video
Respiratory and behavioral features
LIVE // 8 SEC30 FPS
04 From reactive to predictive
Act on the trajectory—not just the threshold.
The study is designed to identify a sepsis signature at least four hours before clinical diagnosis, giving care teams a clearer window to investigate and intervene.
InSIDE™ is under clinical research and is not yet a validated diagnostic device.
00:00stable baseline−04:00pattern detectedNOWclinical recognition
EARLY INTERVENTION WINDOW ≥ 4 HOURS
05 Clinical research target
Built to prove
what matters.
A prospective observational cohort study proposed for the KIMS Hospital NICU in Visakhapatnam will develop and validate the model on de-identified, continuous data from preterm neonates.
Designed to identify true deterioration signals early.
Designed to reduce avoidable false-positive alerts.
Before clinical diagnosis of neonatal sepsis.
PROSPECTIVE COHORTHOLD-OUT VALIDATIONAUROC · SENSITIVITY · SPECIFICITYUP TO 28 DAYS / PATIENT
06 Hospital intelligence, end to end
From bedside signal
to system-level insight.
One modular architecture connects individual patient trajectories to the wider operational picture—without separating the data from its clinical context.
Sense
Continuous, multimodal bedside capture
Protect
Source de-identification and secure edge processing
Understand
Time-series modeling across every signal
Act
Decision-ready patient and hospital intelligence
07 Responsible by design
Trust is part
of the architecture.
Clinical AI should be understandable, secure, and accountable. InSIDE™ is being designed around human oversight and the regulatory realities of Indian healthcare.
De-identified at the source
Patient data is separated from identity before analysis and stored securely in India.
Human-in-the-loop
The system supports clinical judgment; it does not replace it.
Explainable trajectories
Care teams can see which signal patterns contributed to a risk change.
Built for local resilience
Modular, affordable hardware engineered for maintenance in real clinical settings.
The future of neonatal care is predictive
Give every signal
a chance to be heard.
Partner with Tech For Good to help build, validate, and scale a new intelligence layer for neonatal care.