NETALIS MEDICAL
Clinical Decision Intelligence for Frontline Maternal Care
Real-time computer vision and edge AI enabling frontline nurses to perform clinically usable fetal ultrasounds
The Problem
The Diagnostic Bottleneck
Every two minutes, a mother dies from a preventable pregnancy complication.
While portable ultrasound hardware has become more accessible across the Global South, the clinical expertise required to use it effectively remains scarce.
- The Specialist Deficit: Emerging markets average less than 1 sonographer per 100,000 people, leaving frontline clinics entirely unsupported.
- The Usability Gap: Nurses lack the specialized spatial training to capture diagnostic imagery.
Result: Millions of dollars in idle medical hardware. Millions of essential ultrasounds are not delayed—they are never performed due to the absence of trained sonographers.
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Specialist Deficit
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Neural Layers
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Spatial Vectors
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Edge Inference
The Technology
ActiveEdge-Native Clinical Intelligence
Netalis Ultrasound System is a fully integrated, edge-native clinical imaging device. By fusing portable ultrasound probes and clinical tablets with our proprietary offline-first computer vision OS, it transforms standard ultrasound hardware into an intelligent, guided imaging system that enables frontline nurses to perform clinically usable scans in regions where specialist sonographers are scarce.
Netalis expands frontline diagnostic capacity by enabling existing public healthcare workforces to perform clinically usable maternal imaging in regions without specialist sonographers.
We do not replace clinicians; we empower them. By facilitating safe, systemic task-shifting, Netalis delivers real-time spatial guidance and risk-aware triage support to frontline nurses, reducing dependency on scarce specialists while operating fully offline at the point of care.
- Nurse-Enabled
Real-time spatial UI guides clinicians to target anatomical landmarks. - Edge-Compute (Offline-First)
Zero cloud dependency for live inference at the point of care. - Clinically Conservative
Assistive decision-support designed strictly for triage, referral, and regulatory trust.
Performance Characteristics:
- • Real-time inference with sub-second latency
- • Fully offline operation (zero cloud dependency)
- • Designed for low-power clinical hardware
- • Optimised for rapid frontline deployment in resource-constrained environments
Deep Learning Engine
The 5-Layer Neural Architecture
Netalis uses a real-time, 5-layer deep learning pipeline to guide, validate, and assess ultrasound acquisition workflows as they happen—enabling non-specialist clinicians to produce clinically usable results:
Layer 1
Directional Guidance Engine
Processes real-time frames across 10 spatial vectors (e.g., Move Up, Down, Left, Right) to actively guide the nurse's hand to the optimal probe position.
Layer 2
Anatomical Plane Detection
Instantly classifies the current frame to identify critical fetal structures (Head/BPD, Abdomen/AC, Femur/FL).
Layer 3
Image Quality Assessment
Evaluates scan fidelity (Good, Acceptable, Poor) to support the consistency of clinically usable image acquisition.
Layer 4
Gestational Age Estimation
Cross-references captured biometrics against 8 clinical developmental milestones to estimate gestational age across standard clinical ranges (approximately 12–40 weeks).
Layer 5
Risk Flagging & Referral Support
Screens captured imagery for potential high-risk indicators and outputs an assistive clinical risk profile (Low, Moderate, High) to support frontline triage and referral workflows.
Result: A frontline nurse can perform a clinically usable ultrasound scan in minutes, with real-time AI guidance and structured triage guidance—reducing delays caused by specialist scarcity.
All final decisions remain with healthcare professionals.
Deployment
Built for Frontline Care
The system is designed for immediate deployment within public health systems and frontline clinical environments:
- Primary healthcare clinics
- NGO-supported maternal programs
- District and provincial health services
- Low-resource, decentralized, and connectivity-constrained environments
They function fully offline, with optional data synchronisation when connectivity is available.
B2B / B2G Strategy
Deployment Model
Netalis Medical is currently deployed through structured clinical evaluation pilots in partnership with healthcare providers, government, NGOs, and research institutions, with clearly defined protocols, training, and outcome reporting.
We focus on:
- Time-bound pilots
- Training and capacity building
- Clinical evaluation and reporting
- Responsible regulatory progression
Netalis is not a consumer product; it is deployed directly through institutional partnerships.
Governance
Clinical & Regulatory Alignment
Our systems are designed as assistive clinical decision-support tools. We guide the acquisition process, but the clinician maintains full oversight.
- Assistive, not autonomous
- Screening and referral focused
- Clinician oversight maintained
- Ethical review and pilot governance prioritised
Regulatory pathways are addressed progressively as evidence matures. Where appropriate, deployments are conducted under ethics-approved evaluation frameworks with clinical oversight and defined governance.
The Future
Our Vision
We believe clinical decision intelligence should not be limited by geography, bandwidth, or specialist availability.
Antenatal care is our starting point — not our endpoint.
Partner With Us
Strengthen antenatal screening at the frontline.
We collaborate with healthcare providers, NGOs, public health innovation units, universities, and government.
If you are exploring ways to strengthen antenatal screening and referral at the frontline, we'd like to talk.
Request a PilotSee Netalis in Action
Experience the Netalis AI-guided ultrasound imaging system live.
- • No installation required
- • Real-time AI feedback simulation
- • See how nurses receive step-by-step guidance