Modliqer is a no-code manufacturing intelligence and machine learning platform by Qeltrava AI. Built for factory teams, it replaces expensive data science tools with guided ML setpoint optimization, real-time SPC control charts (Cp/Cpk), OEE tracking, and buyer-ready Quality Passports. Standouts: Natural Language Goal Parser, AutoML model benchmarking, supplier yield risk badging, and 1-click OEM Quality Passport reports with zero code required.
Hey Product Hunt! 👋
I'm Sathish Kumar, founder & builder at Qeltrava AI. We are thrilled to launch MODLIQER today!
💡 What MODLIQER Stands For:
MODLIQER = Models, Operations, Data, Learning, Intelligence, Quality, Engineering & Research.
🏭 The Problem We Solved:
Coming from Tamil Nadu, India — one of Asia's major manufacturing hubs — we saw plant engineers, quality managers, researchers, and students struggling with complex multivariable process data.
To tune temperature, pressure, or flow rates to maximize yield or reduce scrap, teams either had to hire expensive ML consultants or spend months writing Python code in Jupyter Notebooks.
✨ What MODLIQER Does:
MODLIQER is a no-code manufacturing intelligence & machine learning platform that follows a guided 3-stage framework:
1. ANALYZE: Drag-and-drop CSV/Excel files, check 0-100 Dataset Health, explore EDA charts & SPC quality controls.
2. OPTIMIZE: Type your goal in plain text ("Maximize yield while keeping temperature < 90°C"). MODLIQER parses constraints, benchmarks AutoML algorithms, and outputs safe operating setpoints.
3. PROVE: One-click generation of audit-ready Quality Passports for buyers, auditors, and management.
🚀 What’s Next:
Whether you are optimizing a factory line, teaching ML concepts in a classroom, or conducting applied engineering research — MODLIQER gives you data analyst + ML engineer capabilities without code.
We'd love to hear your feedback, thoughts, and feature suggestions! Let us know what you think in the comments below.
Thank you for your support! ❤️