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Current company Ingenious Techzoid
IT Services and IT Consulting · 42 employees · Founded 2013 · India
Ingenious Techzoid Pvt. Ltd. — Where Machines Think, Learn, and Evolve. We help OEMs and Tier-1 manufacturers transform their plants into Smart, Connected, and Predictive ecosystems. From shop-floor sensors to cloud dashboards, we digitize every layer of manufacturing to achieve Zero Downtime, Maximum OEE, and 360° Traceability. What We Do We create a full-stack Industry 4.0 ecosystem powered by IIoT, AI, Computer Vision, and Digital Twins, helping industries turn data into action. Production Management (PMS): Real-time OEE, downtime analytics, and SPC dashboards. Predictive Maintenance (PdM / CBM): AI-driven vibration, temperature & condition monitoring. Energy & Utility Monitoring (EMS / UMS): Optimize energy, compressor, chiller & DG performance. Warehouse & Material Traceability (WMS): Barcode, QR, RFID-based part-to-batch tracking. Computer Vision: Automated inspection, weld monitoring, defect & label validation. CMMS: Preventive maintenance, work orders & asset health analytics. Digital Twins & AR: Real-time virtual replicas and immersive training for operators. NLP & OCR: Smart checksheets, digital audits, and document automation. CNC / VMC Monitoring: Cycle time, tool life & machine utilization analytics. Welding Monitoring: IoT-enabled weld quality and traceability analytics. ERP / SAP Integration: Unified data flow and Power BI visualization. Why Choose Us Because we don’t just connect machines — we connect possibilities. OEM-Agnostic: Works with any PLC, RTU, PAC or CNC. Hybrid & Secure: Cloud + On-Prem architecture with TLS 1.3 encryption. Scalable: From pilot line to global deployment. Proven: Trusted by automotive, FMCG & industrial leaders across India. Our Vision To empower industries worldwide with digital intelligence — making operations smarter, faster, and more sustainable through data-driven innovation.#Industry4.0 #SmartFactory #IIoT #PredictiveMaintenance #MachineVision #Traceability #IngeniousTechzoid