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    AI-NETRAPrecision Public Health

    Accelerating India's National
    TB Elimination Program

    Precision Public Health with Expert-Aligned Agentic AI and geographical insight—predictive active case finding and diagnostics optimisation.
    Precision intelligence for every diagnosis, every district, every life.

    Experience AI-NETRA

    Trusted by healthcare providers worldwide

    AI - ACF

    Active Case Finding

    Precision Public Health

    AI-NETRA deploys expert-aligned AI agents to analyze geospatial and demographic data, identifying high-risk TB clusters with unprecedented precision. By mapping transmission hotspots, we guide healthcare workers directly to communities in need.

    This targeted approach transforms Active Case Finding (ACF) from a broad search into a surgical strike, maximizing detection rates while optimizing scarce field resources.

    AI - DNO

    Diagnostic Network Optimization

    Optimizing Infrastructure

    Our Diagnostic Network Optimization (DNO) module strategically positions diagnostic facilities and optimizes sample transport routes. By simulating patient flow and testing demand, AI-NETRA ensures that every citizen has timely access to diagnostics.

    The result is minimized turnaround times, reduced patient travel burdens, and a robust diagnostic network capable of supporting the National TB Elimination Program's ambitious goals.

    AI - ACF & DNO

    Integrated Detection & Diagnostics

    From Hotspots to Testing Networks

    AI-NETRA combines Active Case Finding with Diagnostic Network Optimization: expert-aligned agents highlight where transmission risk is highest, while facility placement, capacity, and sample routes are tuned so screening in the field connects cleanly to timely testing and results.

    Instead of treating outreach and lab networks separately, ACF and DNO run as one system—raising detection where it matters, cutting delays and travel burden, and strengthening the backbone that programs like the National TB Elimination Program rely on.