Corrosion Intel Highlights
Awards, publications, government engagements, industry events, and technology milestones — every chapter in our journey of building indigenous AI for corrosion prediction.
11+
Milestones
3
Major Awards
2022–26
Active Years
★ Featured Milestones
NASSCOM AI Gamechangers Award — Energy & Utilities
Corrosion Intel won the prestigious NASSCOM AI Gamechangers Award 2023–24 in the Energy and Utilities category. Mr. Ashutosh Kumar received this honour recognising our team's hard work and dedication in driving AI innovation across the energy sector.
Featured in CHT Oil & Gas Technical Journal — 4th Edition
Our work at Corrosion Intel has been included in the 4th edition of the prestigious CHT Oil & Gas Technical Journal. The article highlights our indigenously built software for monitoring corrosion progression in critical assets across tank farms and refineries — offering real-time visibility and enabling data-driven maintenance decisions.
Demonstrated Technology to Dr. Jitendra Singh, Union Minister of India
Corrosion Intel demonstrated its developments to Dr. Jitendra Singh, Hon'ble Union Minister, Government of India, and other dignitaries at NRDC. The team received his guidance for further deployment. His vision for increasing India's deep tech presence continues to motivate our commitment to Atmanirbhar Bharat.
All Highlights
8 entries
Corrosion Intel at India Energy Week 2026
Mr. Ashutosh Kumar presented Sentinel — our AI-driven technology for real-time corrosion visibility in overhead columns of Crude Distillation Units (CDUs) — at India Energy Week 2026. Sentinel delivers actionable insights for proactive reliability actions and is designed to evolve with varying crude baskets.
CII Conference on Corrosion in Automotive & Manufacturing
Mr. Ashutosh Kumar was invited to speak at the CII Conference on Corrosion Challenges in the Automotive and Manufacturing Sector in New Delhi. He presented insights on Innovations in Corrosion Testing, Standards & Predictive Analytics for the Automotive and Manufacturing Industry — well received by the audience.
AI Corrosion Visibility at CHT–BPCL Activity Committee Meet
Mr. Ashutosh Kumar presented our proprietary AI-driven Corrosion Visibility Software at the Activity Committee Meet on Reliability & Asset Integrity Management in Oil & Gas Installations. He shared insights from our ongoing project with BPCL monitoring corrosion in a critical refinery unit.
Team Corrosion Intel at Startup Mahakumbh 2.0
Our team showcased AI-based corrosion monitoring solutions at Startup Mahakumbh 2.0. Mr. Mrinal Madhav from the Ministry of Petroleum and Natural Gas visited our pod and shared words of appreciation alongside valuable suggestions to accelerate our scale-up journey.
Strategic Collaboration with BPCL CRDC and Centre For High Technology
Corrosion Intel announced its collaboration with Bharat Petroleum Corporation Limited (CRDC) and Centre For High Technology to develop an indigenous AI-based technology for real-time corrosion visibility in critical refinery assets. A significant step towards enhancing asset reliability and operational safety.
27th Energy Technology Meet — Bangalore
Mr. Ashutosh Kumar presented a case study on AI-based corrosion monitoring for crude oil storage tank bottom plates at the 27th Energy Technology Meet, organised by CHT and IOCL in Bangalore. The presentation garnered strong interest and positive feedback from stakeholders across the refinery and petrochemical value chains.
MoU Signed with Indian Oil Corporation Limited
Corrosion Intel signed an MoU with Indian Oil Corporation Limited to develop and deploy our Machine Learning based solution for corrosion monitoring in crude storage tanks. India spends 5–7% of total GDP on corrosion — this partnership marks a meaningful step towards data-driven corrosion management.
ML-Based Corrosion Forecasting for Oil Storage & Pipelines
Corrosion is causing severe damage in oil storage tanks and pipelines across the oil industry. Corrosion Intel is inviting industries facing severe corrosion issues to collaborate and deploy our ML models for corrosion forecasting — transforming existing operational data into actionable maintenance intelligence.