The inability to quickly prototype treatment combinations such as moving effluent from a clarifier to a reverse osmosis unit capped the volume of projects they could manage and bid on at once.
Using large engineering teams for routine parameter calculations led to inconsistent plant designs and spent specialized human labor on repetitive, slow drafting tasks.
We developed a frontend where engineers visually move unit operations from ultrafiltration and settlers to pumps and dosing systems mapping out water transformations immediately.
The application uses hard-coded company parameters to automatically calculate flow logic and unit sizing, removing the need for manual calculations at every stage of the treatment process.
We added Ion Genie, an LLM that fetches past project data matching the specific unit patterns, allowing for data-driven design based on historical models.
Powered by Python and Springboot, the system seamlessly processes complex design permutations for both Industrial and Sewage Effluent Treatment Plants (ETP/STP) without latency.
The tool dynamically accounts for advanced post-treatment stages, including thermal evaporation for RO reject water, ensuring total water recovery optimization.
175% faster flow sheet design and prototyping
99% parameter accuracy across automated unit operations
50% increase in commercial project bidding capacity
