Climate Connect: Information Platforms and AI Driven Models
Nitin Tanwar & Sanand Sule
Founder & CEO & Co-Founder & CTO
As a first generation entrepreneur, Nitin came across several challenges during his initial years; challenges which mostly involved convincing investors who were new to this technology. “At first, we
The Data Scientists at Climate Connect understand dynamics of energy sector while our Market Analysts understand AI algorithms and Databases well allowing us to perfectly blend energy and AI to solve industry problems
After this, within a few months, Climate Connect was able to forecast prices to a high degree of accuracy. Throwing light on, Nitin adds, “As most energy industries were still using econo metricians for such work, it used to take them years to prepare a model. Slowly over time they started accepting our AI model because of the accuracy and reliability. Hence, we were able to gradually scale up in the market with ease.”
Blend of AI & Energy
Climate Connect is proud of its expertise. The Data Scientists at Climate Connect understand dynamics of energy sector while our Market Analysts understand AI algorithms and Databases well allowing us to perfectly blend
Explaining about their flagship product, Nitin says “Our product called ‘Electricity and Gas Learning Engine’ (EAGLE) has its application across energy sector, namely Power Plant, Energy Traders, Energy Consumers. As we have developed Machine Learning Algorithms suited for each component, our customers can choose to buy entire software or component depending on their role in the market.”
Climate Connect’s presence is found across energy sectors and few of their clients include - GMR Energy, ACME Solar, NTPC, Chevron, SHELL, Government of California and Government of Ontario.
Adding Value to Business
Climate Connect has a board of advisors that consists of experts in energy, technology and AI. Their board has serial entrepreneurs in technology, highly rated academics and professionals who have retired from top echelons of Energy Industry. “We hope that we shall be able to scale up use of AI driven software’s we have built over past two years in Indian and European markets. Currently our software’s manage around 10 GW worth of power assets (generation, demand or trading side). We hope this figure will reach 100 GW over next few years,” concludes Nitin.