IndiaManufacturing2026 – ongoingVedanta
AI predictive maintenance for industrial equipment
Vedanta reported over 1,000 sensors supporting AI predictive maintenance
Problem
Equipment failures could interrupt Vedanta's operations. Maintenance work also exposed employees to hazardous environments.
Approach
Vedanta developed AI-driven predictive maintenance systems with Infinite Uptime. The systems deployed over 1,000 sensors across its operations to support earlier intervention and reduce manual work in hazardous areas.
Results
Takeaway
The reported sensor count established deployment scale. Vedanta did not quantify reductions in failures or downtime for these systems.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
Vedanta described AI predictive maintenance developed with Infinite Uptime and supported by over 1,000 sensors. It identified equipment reliability and reduced hazardous manual intervention as objectives without publishing measured improvements.
Full details are in the original sources.