AI & Industrial
Intelligence
Transform raw operational data into actionable intelligence. From predictive analytics that prevent million-dollar disruptions to automated reporting that surfaces hidden patterns — we deploy production-grade AI that delivers measurable ROI across your operations.
Your Operations Produce Terabytes of Data. You’re Using Almost None of It.
The average enterprise operation generates 2.2 terabytes of data annually from operational systems, quality records, ERP transactions, and databases. McKinsey estimates that businesses use less than 1% of this data for decision-making. The rest? Lost, locked in disconnected systems, or simply never analysed.
<1%
Data Utilised
of factory data is used for analytics or decision-making (McKinsey, 2023)
$1.4T
Lost by Fortune Global 500 to unplanned downtime — 11% of annual revenues (Siemens Senseye, 2024)
10×
Return on investment within two years of predictive maintenance implementation (Deloitte)
Production-Grade AI, Not Science Projects
We don’t run pilot programs that never scale. Every AI model we deploy is designed for production from day one — integrated with your existing operational systems and data sources, and delivering measurable KPIs within 90 days.
Problem-First, Not Model-First
We start with your most expensive operational problem — whether it's unplanned downtime, quality rejects, or energy waste — and build backwards to the simplest AI solution that solves it. No unnecessary complexity, no overengineering.
Edge-Native Deployment
Our AI models can run on edge devices or cloud infrastructure — wherever your data lives. No dependency on a single architecture. Sub-second insights for time-critical operational decisions.
OT-Native Integration
Our AI pipelines integrate directly with your ERP, databases, and operational systems — no middleware required. Predictions surface as dashboard alerts, automated reports, and decision recommendations that drive measurable action.
Continuous Learning
Models don't stagnate. Our MLOps pipeline continuously retrains models on new production data, tracks drift, and auto-deploys validated updates — ensuring accuracy improves as your process evolves.
Industrial AI Solutions We Deploy
Predictive Maintenance
Vibration analysis, thermal imaging, current signature analysis, and acoustic monitoring models that predict equipment failure 2–6 weeks in advance. Reduce unplanned downtime by 30–50%.
Demand Forecasting
AI-powered demand prediction models trained on your historical sales, seasonal patterns, and market signals. Optimise inventory, reduce waste, and align production planning with actual demand.
Intelligent Document Processing
AI-powered extraction and classification of invoices, delivery orders, quality certificates, and compliance documents. Reduce manual data entry by 80% and eliminate transcription errors.
Operational Analytics
Advanced analytics that continuously analyse operational data to identify patterns, anomalies, and optimisation opportunities — surfacing actionable insights for management decision-making.
Edge AI Inference
Deploy lightweight TensorRT and ONNX models on edge IPCs for ultra-low latency inference. Critical for safety-rated applications where cloud roundtrip is unacceptable.
Autonomous Scheduling
AI-driven production scheduling that dynamically adjusts shift plans, changeovers, and maintenance windows based on real-time demand signals, machine health, and energy pricing.
Ready to Unlock the Power of Industrial AI?
Start with a data readiness assessment. We’ll identify your highest-value AI opportunities and build a deployment roadmap with clear ROI milestones.