01
Real-Time Sensor Monitoring
Continuously ingest SCADA, PLC, and IoT telemetry — vibration, temperature, pressure, current — and watch every critical asset live across all production lines.
Manufacturing Analytics
Manufacturing Analytics That Keeps Every Line Running
Every machine, sensor, and production record holds a signal about cost, quality, and uptime. Prompto® unifies SCADA, MES, historian, and IoT data into one on-premise manufacturing analytics platform — predicting failures before they stop a line, optimising yield, and putting plain-English answers in front of every plant team.
100%
On-premise — data stays in-plant
24/7
Real-time asset monitoring
Multi-Plant
One platform, every site
Predictive Maintenance
Predict Failures Before They Stop the Line
Stream vibration, temperature, pressure, and current from SCADA, PLC, and IoT sensors into models that learn each asset’s normal behaviour — so maintenance happens on evidence, not a fixed calendar.
02
Remaining Useful Life Prediction
LSTM-based RUL models forecast how long each asset has before failure, turning unplanned downtime into precision-timed, planned interventions.
03
Failure-Mode Anomaly Detection
Detect anomalies across sensor streams and classify failure modes early, so engineers fix the right component before it cascades into a line stoppage.
Quality, Yield & OEE
Protect Yield and Lift OEE
Score quality at every production handoff, trace rejections to the upstream parameters that caused them, and decompose OEE down to the machine — closing the loop between insight and corrective action.
01
Predictive Quality Scoring
Score quality at each handoff and forecast yield, flagging at-risk batches before they become scrap, rework, or warranty cost.
02
Root-Cause & Closed-Loop Correction
Agentic AI traces deviations to the upstream process parameters that caused them and recommends — or executes — corrections to protect yield.
03
OEE & Downtime Analytics
Decompose OEE into availability, performance, and quality, identify bottlenecks, and quantify downtime loss across every line and shift.
Manufacturing Data Platform
One Platform for Every Plant Data Source
A unified manufacturing data lake house ingests SCADA, MES, CMMS, LIMS, ERP, process historian, and IoT feeds — making decades of production data queryable, analytics-ready, and answerable in plain English.
01
Unified Data Lake House
Bring time-series sensor data, production records, quality logs, and ERP data into one governed store — across every plant, with no rigid upfront modeling.
02
On-Premise AI Colleague
Operators, engineers, and managers query production, quality, and maintenance data in plain English — with all AI processing inside the plant, zero data leaving the facility.
03
ML Studio with Explainability
Build, train, and deploy quality, yield, and energy models with SHAP explainability and champion-challenger testing — no black boxes for your process engineers.
Analytics Built for the Plant Floor
Generic cloud analytics asks you to ship sensitive production data off-site and learn a data-science toolchain. Prompto® runs entirely on-premise inside your plant, speaks the languages of the shop floor — SCADA, MES, historian, IoT — and gives every team an AI Colleague that answers in plain English.
- On-premise deployment — sensitive production data never leaves the facility
- Multi-plant architecture: onboard new plants and lines with no code changes
- Full analytics spectrum — descriptive, diagnostic, predictive, and prescriptive
- Role-based access for plant managers, engineers, and operators
FAQ
Frequently Asked Questions
What is manufacturing analytics?
Manufacturing analytics is the practice of unifying and analysing the data a plant generates — sensor telemetry, production records, quality logs, and ERP data — to improve uptime, quality, yield, and cost. Prompto® brings SCADA, MES, historian, and IoT data into one on-premise platform and layers predictive maintenance, quality and yield optimisation, OEE analytics, and an AI Colleague on top.
How does predictive maintenance work?
Prompto® streams vibration, temperature, pressure, and current data from machine sensors and learns each asset’s normal behaviour. LSTM-based models predict Remaining Useful Life (RUL) and detect anomalous failure modes early, so maintenance is scheduled on evidence — preventing unplanned downtime instead of reacting to it.
What is OEE and how does the platform improve it?
OEE (Overall Equipment Effectiveness) measures availability, performance, and quality. Prompto® decomposes OEE down to the machine and shift, identifies the bottlenecks and downtime drivers eroding it, and links quality deviations to their upstream causes so teams can act on the biggest losses first.
Can the platform be deployed on-premise for data sovereignty?
Yes. Prompto® runs entirely on-premise inside your plant infrastructure — including the AI Colleague and all ML processing — so sensitive production, quality, and maintenance data never leaves the facility boundary.
What manufacturing data sources does it integrate?
Prompto® ingests SCADA, PLC, MES, CMMS, LIMS, ERP, process historians, and IoT sensors into a unified manufacturing data lake house, with schema-aware pipelines that let you onboard new plants and lines without code changes.
See Prompto® on Your Data
Book a demo and see how Gamma Analytics applies manufacturing analytics in your environment.