KLVIN Blog

    Insights on industrial AI, predictive maintenance, and the future of smart manufacturing

    Written by the engineers and operators building KLVIN, these articles share what we are learning deploying KLVIN edge sensors and the SENTINEL platform across Indian steel, cement, pharma, textile, FMCG and water-utility plants. Expect practical breakdowns of predictive maintenance models, edge AI architecture, ROI math for plant leaders, and guidance on meeting WHO-GMP, FSSAI and BRSR reporting requirements — no jargon, no fluff.

    Topics we cover

    Predictive Maintenance

    Vibration, temperature and RUL models that catch failures weeks early.

    Edge AI

    Running inference on KLVIN edge sensors for sub-second factory-floor decisions.

    IIoT Architecture

    Connectivity, MQTT, OPC-UA and historian patterns for Indian plants.

    ROI & OEE

    How to model the financial case for industrial AI before a pilot.

    Energy & ESG

    Power monitoring, carbon accounting and BRSR-ready reporting.

    Compliance

    WHO-GMP, FSSAI, NABH and cold-chain audit trails generated automatically.

    Backed by Industry & Academia

    Ministry of Electronics & IT (MeitY)MSME — Ministry of Micro, Small & Medium EnterprisesConfederation of Indian Industry (CII)iCreateiTIC — IIT Hyderabad Incubation CenterNSRCEL — IIM BangaloreDLabs — Indian School of BusinessMinistry of Electronics & IT (MeitY)MSME — Ministry of Micro, Small & Medium EnterprisesConfederation of Indian Industry (CII)iCreateiTIC — IIT Hyderabad Incubation CenterNSRCEL — IIM BangaloreDLabs — Indian School of Business