At Lightscline, our mission is to revolutionize sensor data management. We address the inefficiencies and high costs associated with traditional data collection and analysis methods. As sensor data generation is projected to reach over 73 trillion GB by 2025, our goal is to transform this challenge into an opportunity. By leveraging the redundancy inherent in real-world data, our innovative AI technology identifies and collects only the most critical 10% of data. This approach significantly reduces compute, power, storage, transmission, and latency requirements by 7-10x. Our data-reduction software is designed to optimize decision-making processes in edge-cloud embedded applications, making data pipelines more efficient and cost-effective for a variety of downstream tasks, including bearing fault classification.
Our vision at Lightscline is to lead the future of sensor data analytics by creating a sustainable and efficient data ecosystem. We aspire to be at the forefront of technological innovation, providing solutions that drastically cut down on the resources required for data management. By continuously refining our real-time data selection methodology, we aim to offer a lightweight, cost-effective, and scalable data pipeline that meets the growing demands of various industries. We envision a world where our deep-tech solutions empower businesses to make smarter, faster decisions with minimal resource expenditure. Through our commitment to independent thinking, rigorous testing, and rapid iteration, we strive to set new standards in AI-based predictive analytics and sensor data optimization.
Lightscline was born out of a shared vision among a diverse team of innovators committed to transforming sensor data management. Our journey began in 2019, when Ankur and Ayush worked on a project together to make legacy machines smart by retrofitting them with sensors. The goal was to create a free open source platform for SMEs in India to monitor their machines and predict failures. We soon realized that the storage costs for sensor data were too high for the SMEs
where Ankur Verma, a Ph.D. candidate and Entrepreneurial Fellow, teamed up with Ayush Goyal, an ex-Software Engineer and current MS in CS candidate, and Dr. Soundar Kumara, a Chair Professor in Industrial Engineering. Driven by a passion for deep tech, we united our expertise in sensing, AI-based predictive analytics, and large-scale software design to tackle the inefficiencies plaguing contemporary data collection and analysis pipelines.
Our entrepreneurial spirit led us to participate in several prestigious programs, including the National Science Foundation I-Corps National program, the regional program, and PSU Launchbox Happyvalley Idea Testlab. These experiences honed our business acumen and validated our innovative approaches. Our dedication and breakthrough ideas earned us the Diefenderfer Fellowship in Entrepreneurship from Penn State University, further propelling our mission to revolutionize the sensor industry.
Based in State College, Pennsylvania, Lightscline continues to thrive at the intersection of academia and industry. Our team's commitment to independent thinking and iterative testing drives us to push boundaries and deliver cutting-edge solutions. As we look to the future, we remain steadfast in our goal to make sensor data management more efficient, economical, and accessible for businesses worldwide.
Ankur Verma CEO
Ayush Goyal CTO
Soundar kumara Chief Scientist