Hydromantis Environmental Software Solutions, Inc. provides expert modelling services for the water and wastewater treatment industries. We meld our advanced modelling expertise with hands-on experience and in-depth knowledge of wastewater treatment design and operational processes to deliver viable solutions firmly grounded in the modern reality of treatment plant operation and design practices. We are practical in our approach, specific in our recommendations, and thorough in our execution. Our expertise can be applied to wastewater treatment plant design, commissioning, operational performance, and planning improvements.
Owners, Operators and Wastewater Engineering Consultants can take the uncertainty out of critical wastewater design and operational decisions with Hydromantis' advanced process modeling. Hydromantis delivers integrated services and technology solutions that set the world standard in wastewater treatment optimization. Hydromantis' expertise and tools have produced measurable results for a diverse group of enterprises around the world, resulting in millions of dollars in estimated savings.
Our services include, but are not limited to:
Our clients are at the forefront of innovation in their various segments. As the leading provider of environmental process modeling software, Hydromantis partners with our clients to provide customization services.
Whether our clients are developing new aerated systems that potentially reduce the energy foot-print of wastewater treatment, processes that enable enhanced nutrient removal, metals removal technologies that allow for the elimination of Selenium, early warning systems that are integrated into a facility's SCADA system, or novel predictive control systems for monitoring reverse Osmosis (RO) membrane fouling, Hydromantis has provided the support and insights required to model these systems. Our work has led to the development of custom modules that address our clients' innovative processes or new modeling equations that allow unique chemistries and biochemical transformations to be robustly modeled.