Ensaras, Inc. works at the intersection of wastewater treatment and artificial intelligence to provide novel insights and solutions for the wastewater sector. We work with wastewater dischargers to evaluate their treatment options and make informed and data-driven selections. We optimize treatment processes and reduce energy consumption at wastewater treatment plants using machine learning. We develop cloud-based analytics tools to help treatment plants meet and exceed their operational objectives. At Ensaras, Inc. we have the skills, experience, passion, and commitment to address a variety of wastewater challenges with state-of-the-art artificial intelligence tools. Our focused leadership team has expertise in wastewater treatment, process engineering, resource recovery, data analytics, machine learning, and artificial intelligence and is excited to be making the next generation of water and wastewater solutions a reality!
Ensaras, Inc. conducts feasibility studies and provides consulting services for wastewater dischargers to evaluate their on-site wastewater treatment and resource recovery options and make data-driven technology selections. We work with a wide variety of wastewater types, including high strength wastewater from industries, sewage and sewage sludge from municipalities, and food waste from large generators.
Ensaras, Inc. provides data-driven insights for wastewater operations to optimize plant operations and better manage infrastructure, resulting in a direct cost-benefit to wastewater facilities. We develop and implement cloud-based analytics to identify leaking infrastructure, decrease energy consumption, predict incoming organic loads, and assist with a wide range of other operational challenges.
Intelligent Water Systems
Ensaras, Inc. is developing cloud-based platforms to provide artificial intelligence solutions to the wastewater sector. Wastewater utilities often collect data from multiple sources, whether it is from the lab, the field, or the multiple sensors installed for plant automation and monitoring. We are streamlining the use of existing data sources to conduct machine learning in real-time for decision support and plant optimization.
Nina Kshetry is founder and president of Ensaras, Inc., and has over a decade of wastewater treatment and engineering experience. She has held roles in process engineering, project management, data analytics, and business development, and has worked on municipal, industrial, and agricultural projects, including wastewater recycle reuse and energy recovery projects. She received her S.B. in environmental engineering science and S.M. in civil and environmental engineering, both from the Massachusetts Institute of Technology, and is a licensed professional engineer. She has a passion for using the latest analytical and technical resources available to help secure water for current and future generations.
Prof. Lav Varshney is chief scientist at Ensaras, Inc., and is also an assistant professor of electrical and computer engineering at the University of Illinois at Urbana-Champaign. He is an expert in data science, machine learning, statistical signal processing, artificial intelligence, and wireless sensor networks. He received his B.S. in electrical and computer engineering from Cornell University, and his S.M. and Ph.D. in electrical engineering and computer science from the Massachusetts Institute of Technology. His data analytics and artificial intelligence research, together with innovative industrial and social applications, have achieved worldwide acclaim.
National Science Foundation
SBIR (The Small Business Innovation Research Program)
Microsoft AI for Earth
University of Illinois at Urbana-Champaign