As the world faces the escalating challenges of climate change, innovative deep tech solutions that promote environmental sustainability have become not just desirable, but essential. Consequently, the transition to alternative fuels and carbon emission reduction has become a critical goal for industries worldwide. LIVNSENSE, with its cutting-edge AI platform GreenOps, is at the forefront of this transformation, revolutionizing how industries manage their carbon footprint, energy consumption, and industrial safety standards.

Spearheaded by a profound concern for the environment and human safety, Avnish Kumar, Founder and CEO, envisioned a company addressing two critical issues: increasing pollution and the safety of industrial workers. “Our objective has been to save human lives and make the world a better place to live in", he explains.

Real-Time Data for Real-Time Impact

The company’s flagship product, GreenOps, optimizes energy use and reduces carbon emissions in real time. Unlike most competitors that rely on offline data sources, LIVNSENSE's AI-powered platform captures and analyzes data in real time, offering immediate feedback and actionable recommendations.

As a plug-and-play platform, GreenOps is equipped with trained and validated process AI models, making it easy to deploy. Key features include GreenEdge, which leverages native plant systems, third-party systems, gateways/sensors, and DCS/SCADA systems or historians through seamless integration. GreenOps'WSoft Sensors offer a

unique value proposition with visual sensors, sensor deviations, and process fluctuations. “The realtime production data acquisition feature that uses intelligent edge based advanced sensing with a mathematical and AI-based approach enables GreenOps to capture environmental data from sensors to vision-based capabilities”, adds Avnish.

GreenOps' Interactive Digital Twins feature provides a re-imagined cognitive carbon cockpit experience with real-time recommendations and simulation, including predictive carbon deposition, real-time carbon optimization, and emission forecasting. This allows industries to make quick adjustments and achieve tangible reductions in their carbon footprint. While GreenOps' KPI driven benchmarking algorithms provide industry-specific insights and recommendations, integrated AI/ML algorithms manage assets and process environmental data on a single platform, ensuring accurate outcomes.

Commitment to GHG Reduction & ESG Compliance

LIVNSENSE uses a scientific approach to support GHG reduction strategies, aligning with frameworks such as the EPA, BR/SR, and the GHG Protocol. The company provides a comprehensive assessment of a clients’ carbon footprint, addressing the carbon lifecycle from process efficiency to carbon prediction and reduction, paving the way toward zero carbon. “Our focus also includes ESG compliance across Scope 1, 2, and 3, reducing SOx and NOx emissions without compromising production, minimizing wastages, and lowering energy consumption and carbon footprint”, highlights Avnish.

Reducing 100 Megatons of Emissions

LIVNSENSE has developed, deployed, tested, and validated more than 165 proprietary AI models across various industries, including oil and gas, metals and mining, automobile, and infrastructure. Integration with private 5G networks now ensures high-speed, reliable data transmission, even in remote industrial environments.

Currently, the company is exploring new technologies like green hydrogen to achieve its ambitious goal of reducing 100 megatons of carbon emissions by working across energy intensive sectors. "It's a long journey, but we are continuously exploring new solutions while gradually making significant strides in reducing carbon emissions, optimizing resource use, and ensuring the safety of industrial workers", concludes Avnish.

Avnish Kumar, Founder & CEO

The company's GreenOps platform optimizes energy consumption in legacy plants to provide immediate financial and decarbonization benefits. “We are trying to help plants improve the utilization of sustainable energy sources and alternate fuels like biomass and waste through our AI platform", notes Avnish. In terms of worker safety, a camera-based system provides real-time alerts and safety compliance checks, significantly reducing incidents related to man machine interactions'.