Artificial Intelligence startup Pluto AI has raised $2.1 million in VC funding in order to inject intelligence into the traditionally mundane world of wastewater treatment. Modern plants are flush with sensors and automated controls, but they typically operate independently and often require user intervention. Pluto AI aims to take these treatment plants to the next level by gulping up all the data produced by the array of sensors and controls equipment already in place, then provide intelligent insights to save time, money and water.
From the company’s recent blog post,
“Pluto is an analytics platform for smart water management. We enable water facilities like treatment plants or beverage processing plants to prevent water wastage, predict asset health, and minimize operating costs. We use cutting edge Artificial Intelligence (AI) to achieve this. Our pilot customers include some of the largest water and beverage companies in the world.”
As a startup, Pluto is not yet competing with the big players in smart water management systems like IBM’s Intelligent Water, but has a solid product that many industrial facilities, publicly owned treatment works (POTW), power plants, and other facilities that consume or process a significant amount of water could use.
As the Pluto team likes to say:
“If you have timestamped water data originating from sources such as sensors, meters, or other devices, our platform can ingest it and do a lot of great things with it.”
The solution lives in the cloud, meaning no local hardware or IT support is required. Pluto aims to make the addition of intelligence to water treatment systems a no brainer, just enable timestamped controls data to flow to the secure Pluto system and the the Pluto team takes it from there.
Because the solution resides in the cloud, it is easily scalable to meet the needs of the customers, which are largely based on the volume and frequency of data being processed by Pluto. As such, the service is billed as a Software as a Service (SaaS) wherein the customer pays monthly or annual fees for the services provided, but would not typically own any of the hardware or have any significant up-front capital cost to implement the system.
Read the source article at Cleantechnica.com.