Real results, clear paths
See how ML4industry helps companies like yours turn operational data into tangible value at every stage of their journey.
Tier 1: ML4industry data readiness insights // Understand potential
Fast, low-risk assessments using your existing data to identify quality, potential, and roadblocks before major investment.
Client goal:
Explore using existing bearing vibration sensor data (complex time-series files) to detect potential failures earlier. Concerned about data complexity and analysis approach.
ML4industry delivered:
Consolidated thousands of raw files, performed data quality assessment, extracted time/frequency features, and identified crucial labeling strategy needs via Interactive Clarity Report.
Client goal:
Determine if routinely collected operational data (voltages, currents, temperatures) from electrical transformers could provide early warnings before failure.
ML4industry delivered:
Analysis revealed patterns existed but weren't reliable year-over-year. Clarity Report recommended specific additional data needs (age, load history, DGA) to improve prediction reliability.
Client goal:
Explore predicting the Remaining Useful Life (RUL) of Li-ion batteries using historical test cycle data (voltage, current, temp, impedance).
ML4industry delivered:
Confirmed feasibility but highlighted accuracy limitations. Roadmap prioritized advanced feature engineering (ICA, EIS) as key next step for improving predictions.
Client goal:
Investigate if listening to electric motor sounds (audio recordings) could automatically diagnose conditions like bearing or propeller faults.
ML4industry delivered:
Analysis showed potential for some conditions but flagged critical lack of diverse Bearing fault data. Roadmap prioritized collecting more diverse fault audio samples.
Tier 2: ML4industry targeted insight pilot // Validate opportunities
Focused projects building on Readiness Check findings or specific challenges to prove value and estimate ROI with baseline models.
Client goal:
After a Readiness Check confirmed image quality and label suitability, validate if an AI model could accurately classify different semiconductor wafer map defect patterns to speed up Root Cause Analysis (RCA).
ML4industry delivered:
Delivered Pilot Report showing extremely high classification accuracy (AUC ~0.998) on unseen test data. Quantified RCA acceleration impact and provided deployment recommendations.
Client goal:
Following a Readiness Check that showed strong data potential, build and test an AI model to predict gas turbine failure status based on operational parameters.
ML4industry delivered:
Optimized XGBoost model achieved 98.5% prediction accuracy. Provided detailed analysis of key predictors (GGn, speed, lever, temp) and validation of feasibility.
Client goal:
Following a Readiness Check, run a pilot focused only on distinguishing Healthy motors from those with Propeller faults, using data from multiple motors.
ML4industry delivered:
Demonstrated high accuracy in distinguishing faults even on unseen motors. Confirmed key audio features and proved pipeline effectiveness with sufficient data diversity.
Tier 3: Continuous insight solution // Embed intelligence
Scaling proven value through deployed models, ongoing monitoring, custom dashboards, and operational integration.
Client goal:
Integrate the successfully piloted AI wafer defect classifier into the manufacturing workflow to accelerate Root Cause Analysis daily.
ML4industry delivered:
Deployed robust model pipeline with real-time classification, custom dashboard for defect trends, XAI visualization, and continuous performance monitoring for sustained operational impact.
Client goal:
Use the validated high-accuracy failure prediction model for continuous, real-time monitoring of a fleet of gas turbines.
ML4industry delivered:
Implemented real-time risk scoring, configurable alerts, fleet-wide visualization dashboard, and maintenance system integration for proactive scheduling.
Ready to start your journey?
Let ML4industry help you decode your data and drive confident decisions, starting with our low-risk Readiness Check.
Start Your Readiness Check