Surface Charge
Organization
Regulates cell behavior
and interactions
Making Hidden
Physical Biology
Measurable
In Physico combines biophysical measurements, electrostatic sensing, and AI analysis to uncover signals invisible to conventional approaches.
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SUPPORTED BY COLLABORATIONS ACROSS ACADEMIA AND MEDICINE
Supported by years of research, peer-reviewed publications, and collaborations across academia and medicine.
In Physico combines nanoscale measurements, physical biology, and computational analysis through collaborations with leading scientific institutions.
20+Publications
10+Years of AFM Experience
MultipleInstitutional Collaborations
Problem
Most Biological Changes are Measured too Late
Conventional approaches capture only snapshots.
By the time changes are detected, critical windows for intervention may be missed.
VS
Biology Today
- Endpoint measurements
- Static observations
- Trial-and-error experimentation
Day 1Day 30
In Physico
- Dynamic phenotyping
- Hidden physical biomarkers
- AI-guided discovery
- Accelerated testing
- Earlier predictive outcomes
Day 1Day 2Day 3Day 4Day 5…Day N
EXAMPLES OF HIDDEN PHYSICAL SIGNALSMost Biological Variables Remain Invisible
Most Biological Variables Remain Invisible
to Conventional Methods.
Many physical processes that drive disease progression and therapeutic response
operate below the detection limits of traditional measurements.
Surface Charge
Bio-Interface
Interactions
Shape signaling at the
molecular boundary
Glycocalyx
Remodeling
A dynamic layer critical
to cell function
Dynamic Tissue
Responses
Drive progression and
therapeutic outcomes
About ChargeViewer™Reveals hidden electrostatic
ChargeViewer™
Reveals hidden electrostatic
landscapes in living systems
ChargeViewer visualizes nanoscale electrostatic patterns in cells
and tissues under biologically relevant conditions.
1. Sample
Living cells and tissues under investigation
2. Sensing
Application of ultrasensitive and low-force probes
3. AI Analysis
Continuous nanoscale measurements
4. Physical Signature
Hidden biomarkers and temporal dynamics
5. Prediction
Longitudinal physical signatures help reveal
A New Charge Map of Living Biology
ChargeViewer™ maps local electrostatic inhomogeneity across living biological surfaces — revealing nanoscale patterns that change over time.
The In physico EngineConnecting
Connecting
Measurement to
Prediction
An integrated platform that transforms continuous biological measurements into predictive insights through a closed-loop discovery system.
ChargeViewer™
Continuous electrostatic measurements reveal dynamic biological landscapes
Dynamic Phenotyping™
Temporal patterns capture biological state changes in real time
AI Science Engine™
Machine learning extracts hidden variables and biological signatures
Digital Disease Models™
Predictive models forecast progression and therapeutic responses
Connected Discovery Infrastructure
The platform continuously cycles through measurement, tracking, learning, and prediction — transforming raw electrostatic data into actionable biological insights and therapeutic predictions.
Impact Metrics
Accelerating Discovery
Quantifiable improvements in scientific measurement and biological understanding.
10×
Faster experimental
cycles
Up to1000×
Improved sensitivity to
nanoscale heterogeneity
Continuous
Dynamic biological
trajectories
Multiscale
Cell → Tissue →
Disease understanding
Evidence
Built for Scientific Confidence
Our platform is validated through rigorous scientific methods, reproducible experiments, and peer-reviewed research.
High-resolution measurements
Representative nanoscale biological imaging
Longitudinal analysis
Dynamic biological trajectories
Reproducibility
Robust experimental validation
Applications
Applications Across Biology and Medicine
Powering insights across a wide range of biomedical fields.
Neuroinflammation
Reveal evolving physical changes associated with neuroinflammation and therapeutic response over time.
Digital Disease Models
Building Predictive Representations of Disease Behavior
Multiscale Biology
Analyze heterogeneous cellular responses to better understand complex biological interactions.
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Disease Trajectories
Track how biological states evolve across time, conditions, and disease progression pathways in living systems.
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Therapeutic Response
Understand how living systems respond to treatment and identify patterns linked to therapeutic outcomes.
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Our AI & Software Development Partner - CodePhusion
CodePhusion powers the AI infrastructure
Enabling InPhysico's discovery engine through multi-agent systems for charge image analysis, closed-loop experiment recommendation, and literature-grounded hypothesis generation.
This partnership transforms advanced biophysical measurements into intelligent research tools that help scientists generate hypotheses faster, analyze complex biological data, and accelerate discovery.
Vision
The Future of Discovery is Predictive
A future where hidden physical signatures become measurable biomarkers.
In Physico is building an AI-powered experimental ecosystem that continuously learns from biological systems, identifies knowledge gaps, designs experiments, and transforms discovery from trial-and-error into predictive science.
Discover our Mission
Bring Physical Biology
Into Your Research
Explore how ChargeViewer can support biological research,
therapeutic response studies, and predictive discovery.
