Healthtech · GIVI Genesis

Synthetic data for non-invasive bioelectric sensing.

GIVI Genesis is a physics-grounded simulation engine. It renders the body's electric field so medical AI can learn from signals that are hard to collect.

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Gestational Intelligence for Verifiable Insights

GIVI GenesisSimulation to edge

01 · SimulateBioelectric signalsPhysics-grounded generation of the body's electric field.

02 · GenerateSynthetic dataTraining data without a physical collection bottleneck.

03 · DeployEdge AIVerified models for offline-capable environments.

Illustrative waveform.

Status

Core simulation engine validated

Seeking

Health-system pilotsDeployment partners

Problem and insight

Training data is the bottleneck.

The problem

Every non-invasive fetal AI is short of the same data. You cannot collect it without a device, and you cannot validate the device without the data.

The insight

The physics can be computed forward. The data can be generated, and the sensor designed, in simulation on GPUs.

Approach

Simulation, synthetic data, edge AI.

Simulation

Physics-grounded generation of bioelectric signals.

Synthetic data

Train AI models without being limited by physical data collection.

Edge AI

Deploy robust, verified models to offline-capable environments.

Partner with us

Request the GIVI Genesis whitepaper.

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Team

Who we are.

Chinmaya Naik

Co-Founder and CEO

Computer Science engineer with 7+ years in product development and management.

Abhinav Navneet

Co-Founder and CTO

Computer Science engineer leading machine learning and firmware, with 5+ years in technology and research.

Contact

Talk to us.

Write to us about pilots, deployment or the whitepaper.

xivi.tech@gmail.com