To leverage AI/ML advancement and reduce carbon footprint in steel manufacturing by developing self-learning predictive and diagnostic tools.
We make use of unutilised or under-utilised data to identify production bottle-necks, detect product anomalies, avoid critical failures – all aimed towards maximising the productivity.