precision_manufacturing Manufacturing & Supply Chain AI

Transform the Factory Floor with
Applied Generative AI.

We help industrial and manufacturing leaders connect siloed OT/IT data on Google Cloud to predict machine failures, automate QA, and optimize supply chains using Machine Learning.

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Built securely on Google Cloud's Industrial Infrastructure

router Cloud IoT Core
neurology Vertex AI
visibility Cloud Vision API
database BigQuery ML

Common Manufacturing AI Use Cases

See exactly how Evonence helps manufacturing organizations turn operational bottlenecks and unplanned downtime into automated, highly efficient solutions.

engineering

Predictive Maintenance

The Problem Running machines until they break leads to catastrophic unplanned downtime. Traditional scheduled maintenance wastes money replacing parts that are still perfectly healthy.
What We Do We pipe real-time IoT sensor data (vibration, heat, acoustics) into BigQuery. Machine learning models analyze the telemetry to predict equipment failures days in advance, allowing for targeted, zero-impact maintenance.
fact_check

Automated Visual Quality Control

The Problem Manual visual inspection on high-speed assembly lines is prone to human error, leading to defective products escaping the factory and causing costly product recalls.
What We Do We deploy Google Cloud Vision AI models on edge devices right on your assembly line. Cameras analyze products in real-time, instantly identifying micro-defects, scratches, or missing components with superhuman accuracy.
local_shipping

Supply Chain & Logistics Forecasting

The Problem Global supply chain disruptions, vendor delays, and fluctuating raw material costs make it impossible to plan production schedules using static ERP systems.
What We Do We combine your SAP/ERP data with external variables (weather, port congestion, market pricing) in BigQuery. ML models dynamically forecast supply chain risks and optimize logistics routing and raw material procurement.
inventory_2

Automated Procurement (Document AI)

The Problem Back-office teams waste thousands of hours manually reading, entering, and matching complex Purchase Orders, Invoices, and Bills of Lading across different vendor formats.
What We Do We implement Google Document AI to intelligently read and extract structured data from unstructured vendor documents (PDFs, scans). This fully automates the procure-to-pay workflow and flags pricing anomalies.
support_agent

Connected Worker AI Copilots

The Problem When complex machinery malfunctions, floor technicians waste critical hours searching through thousands of pages of PDF manuals or waiting for senior engineers to assist.
What We Do We build RAG-powered Gemini AI assistants loaded with your proprietary engineering manuals, schematics, and past maintenance logs. Floor workers can simply ask the AI on a tablet for instant, step-by-step repair instructions.
memory

Digital Twins & Process Simulation

The Problem Testing a new production layout or optimizing machine settings on the physical factory floor requires shutting down production, costing significant revenue.
What We Do We aggregate your historical SCADA/PLC data into Google Cloud to build a digital twin. Engineers can run millions of ML-driven simulations in the cloud to optimize factory throughput before making a single physical change.
Plant 04 • CNC Milling Center sensors Telemetry Live
settings_suggest Spindle Motor A
Anomaly Detected
Vibration (RMS)
14.2 mm/s
Thermal Delta
+8.4 °C
auto_awesome
AI Prediction: Bearing failure likely within 72 hours based on acoustic frequency shift.
Action: Automated work order #8842 created. Parts dispatched from central inventory.

Stop Reacting to Broken Machines.

Unplanned downtime is the most expensive metric in manufacturing. Legacy systems only alert you after a machine has failed. We implement Google Cloud Predictive Maintenance to catch anomalies before they cause a shutdown.

  • timeline

    Multivariate Anomaly Detection

    Machine learning models look at the relationship between heat, vibration, and energy draw simultaneously to detect micro-anomalies invisible to human operators.

  • build_circle

    Automate the Repair Workflow

    When an anomaly is detected, the AI automatically integrates with your ERP (like SAP) to check parts inventory and dispatch a maintenance team during the next scheduled shift change.

The Connected Factory Data Lake

AI cannot optimize your production line if your data is trapped in isolated PLCs, on-premise SCADA systems, and disconnected ERP software. Evonence modernizes your architecture, securely unifying OT and IT data in Google Cloud.

  • OT/IT

    Break Down Silos

    Ingest high-frequency sensor data, quality control images, and supply chain logistics into a single BigQuery data warehouse.

  • Edge

    Cloud-to-Edge AI

    Train heavy ML models in the cloud, but deploy them directly to factory-floor edge devices for zero-latency, offline-capable decision making.

Industry 4.0 Architecture
conveyor_belt SCADA / PLC Data
sensors IoT Telemetry
inventory SAP / ERP
database BigQuery Central Data Hub
neurology Predictive ML Models
dashboard Plant Manager Dashboards

Measurable Industrial Impact.

We only architect solutions with a clear, direct path to reducing unplanned downtime, improving yield, and cutting operational waste.

50%
Reduction in Downtime

Deploying predictive maintenance allows plants to fix machines during scheduled windows, drastically reducing catastrophic line stops.

20%
Decrease in QA Defects

Moving from manual sampling to continuous Computer Vision inspection ensures defects are caught instantly before value is added to a bad part.

10x
Faster Procurement

Automating invoice and bill-of-lading processing with Document AI eliminates manual data entry and prevents costly supply chain bottlenecks.

Ready to implement Industry 4.0?

Schedule a secure consultation with an Evonence industrial cloud expert to discuss which AI use case will deliver the highest ROI for your plant.

Recognized Expertise

Google Cloud Premier Partner
IoT & Edge AI
Predictive Maintenance
Supply Chain Analytics