From Blind Spots to Real-Time Insight
Industrial Intelligence delivers a clear path from architecture to outcomes—making AI, IoT and blockchain not just pilots, but measurable levers for profitability, compliance and competitive advantage.
- Predictive maintenance & uptime monitoring
- Energy and loss heatmaps down to line/shift
- In-process quality intelligence using sensors and vision
- ESG & compliance telemetry with cryptographic evidence
- Edge AI copilots for guided troubleshooting and SOP adherence
- Downtime reduced by 20–40%, OEE improved by 5–10 points
- Energy consumption reduced by 8–15%, with precise line/shift costing
- Spares cost down by 10–20%, labour efficiency up by 15–25%
- Scrap and rework cut by 10–30%
- Audit time reduced by 50–70% with immutable, verifiable trails
Key Use Cases
- Manufacturing:
- Predictive maintenance on critical machines
- OEE and bottleneck analytics
- Energy intensity and line-wise cost visibility
- In-process quality (SPC 2.0) with drift alerts
- Smart Construction:
- Equipment health and utilization
- Site safety intelligence via vision
- Concrete curing and quality monitoring
- Material flow and theft-risk tracking
- Soil, Agri & ESG:
- Soil health and irrigation intelligence
- Pest/disease early warning
- Farm-to-fork traceability and carbon/regenerative proofs
- Continuous carbon, energy, emissions and waste monitoring