ViSense is a multi-domain Physical AI platform that ingests, fuses, labels, and deploys intelligence from the full spectrum of wave-based sensors — from mmWave radar to medical imaging.
From raw sensor ingestion to real-time deployed inference — ViSense covers every step of the journey from data to actionable intelligence.
Multi-stream sensor data acquisition from distributed nodes. Supports RTSP video, radar point clouds, DICOM medical imaging, IoT telemetry, and custom RF sensor feeds — simultaneously and at scale.
Purpose-built semi-automated annotation with human-in-the-loop verification. Segment, label, and version multi-modal datasets for AI model training with full audit trails and compliance logging — purpose-designed for the complexity of fused sensor data.
End-to-end model training, validation, and registry management. Supports PyTorch, TensorFlow, and TVM compilation for edge deployment. Integrated MLOps with CI/CD for model lifecycle management.
Frigate-inspired real-time inference engine that applies trained models to live sensor streams. Runs on cloud, on-premises, or edge hardware. Sub-100ms detection latency with multi-hypothesis AI reasoning.
Provision, monitor, and update distributed sensor nodes and handheld devices from a central console. OTA updates, telemetry monitoring, session management, and compliance enforcement across the entire deployment fleet.
Built for regulated industries from day one. HIPAA-compliant data pipelines, GxP-ready audit trails, end-to-end encryption, role-based access, and de-identification for medical and clinical research use.
ViSense is purpose-built to serve multiple industries from the same core infrastructure — with domain-specific modules tuned to each vertical's unique requirements.
HIPAA-compliant sensing and imaging intelligence for clinical research, patient monitoring, and medical AI development.
Autonomous inspection, predictive maintenance, and safety monitoring for factories and infrastructure.
Privacy-preserving people intelligence for brick-and-mortar analytics and customer experience optimization.
Precision sensing for crop health, irrigation intelligence, and autonomous farming equipment guidance.
Environmental monitoring and biodiversity sensing across distributed outdoor and remote deployments.
mmWave radar-powered sensing infrastructure for intelligent traffic management, public safety, and urban operations — without cameras or privacy compromise.
ViSense's architecture is grounded in the shared physics of wave-based sensing — enabling a unified fusion engine that spans modalities no other platform bridges.
Physics-grounded AI reasoning models evaluate multiple hypotheses per frame, dramatically reducing ghost detections and improving confidence in radar and complex sensor outputs.
Range, azimuth, elevation, and Doppler velocity fused across modalities. Track objects in full 3D space with instantaneous velocity vectors — even through walls or in complete darkness.
Radar and RF sensing deliver people presence, counting, and behavior analytics without capturing identifiable imagery — satisfying GDPR, HIPAA, and enterprise privacy mandates. mmWave radar's micro-Doppler sensitivity further enables unobtrusive vital sign monitoring: detecting respiratory rate, heart rate, and movement patterns without any contact with the subject or any camera in the room.
Unlike cameras and optical sensors, radar operates unimpaired in rain, fog, smoke, darkness, and extreme temperatures — making it the backbone of any robust Physical AI system.
Every ViSense-compatible sensor operates on wave physics. That shared foundation is what makes cross-modal fusion possible — and powerful.
The highest-utility active sensor in the ViSense stack. mmWave radar delivers 4D point clouds with range, azimuth, elevation, and Doppler velocity. Unaffected by lighting or weather. Penetrates non-metallic materials. Capable of detecting sub-millimeter motion — including chest wall displacement for contactless respiratory rate and heart rate monitoring. The foundation of ViSense's detection capability.
High-resolution RGB and NIR cameras provide the rich texture and scene data that radar alone cannot resolve. Extending into the near-infrared (up to 950 nm) enables low-light operation, vein imaging, and covert illumination applications. ViSense fuses optical streams with radar to deliver scene understanding that neither modality achieves alone — combining resolution with reliability.
Thermal imaging detects heat signatures independent of visible light. Critical for night operations, fire detection, medical thermography, and body temperature monitoring. ViSense fuses thermal data with radar for redundant human detection.
DICOM-native ingestion of clinical imaging streams for AI model training in medical research. ViSense supports ultrasound, sub-terahertz, and terahertz imaging modalities — enabling non-ionizing, contactless tissue characterization and wound assessment. The HIPAA-compliant pipeline handles coded research data end-to-end, from acquisition through annotation to model deployment.
Atmospheric sensors, acoustic monitors, chemical detectors, and other IoT devices round out the sensor ecosystem. ViSense ingests any time-series sensor feed, contextualizing environmental data alongside spatial sensor outputs.
"Every sensor is a wave sensor. We fuse them all."
ViSense is a Chicago-based deep-tech company building the infrastructure for Physical AI — systems that sense, reason about, and act in the physical world.
Our team combines expertise in radar signal processing, medical device engineering, computer vision, and enterprise software to deliver a platform that works across industry boundaries — from clinical trials to precision agriculture to smart retail.
ViSense is currently in active deployment across medical research and industrial monitoring pilots, with commercial availability targeted for Q2 2026.
PHI handling, coded research data, and audit logging built into the core platform — not bolted on.
Headquartered at 1623 W Fulton St, Chicago IL. Platform designed for distributed global deployments with air-gapped support.
Cross-modal fusion grounded in shared electromagnetic wave physics — a unifying architecture no vertical-specific platform can replicate.
Every design decision optimizes for real-world deployment: edge-first inference, all-weather sensing, and actionable outputs — not dashboard vanity metrics.
Whether you're exploring a pilot, seeking investment partnership, or building on top of ViSense — we want to hear from you.