Otter Intelligence provides an AI‑driven software platform that ingests real‑time sensor data from industrial wastewater treatment plants and automatically calculates optimal reagent dosing setpoints. The system integrates with existing SCADA or PLC controls to adjust pumps in a closed loop, delivering chemical savings, energy reductions, and continuous regulatory compliance reporting.
Funding
$1.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Industrial wastewater treatment plants that rely on chemical dosing face difficulty maintaining optimal reagent levels, leading to excessive operating costs and risk of non‑compliance with discharge regulations. Existing control systems often require manual tuning and cannot fully exploit the data generated by plant sensors.
Solution
Otter Intelligence delivers an AI‑driven software platform that transforms a plant’s historical and real‑time sensor streams into a “Smart Digital Operator.” The platform continuously analyzes process variables with advanced machine‑learning models to predict optimal dosing setpoints and automatically adjusts reagent pumps. Operators receive actionable alerts and visual dashboards that highlight cost‑saving opportunities and compliance status. The solution integrates with existing SCADA or PLC infrastructure, enabling seamless deployment without hardware retrofits. By automating dosing decisions, the platform reduces chemical consumption, lowers energy use, and helps plants meet regulatory limits consistently.
Target Audience
The primary customers are operators and engineers of chemical‑intensive industrial wastewater treatment facilities, especially those using dissolved‑air‑flotation (DAF) units in food & beverage, dairy, agriprocessing, paper & pulp, oil & gas, and chemical production sectors.
Features
- Real‑time data ingestion from existing sensors and control systems via OPC-UA, Modbus, or REST APIs
- Proprietary machine‑learning models that forecast optimal reagent dosage and detect process drift
- Closed‑loop automated dosing control that can command pumps or valves directly from the platform
- Predictive maintenance alerts for dosing equipment based on anomaly detection in sensor trends
- Cloud‑hosted analytics dashboard with KPI visualizations, cost‑impact simulations, and compliance reporting
- FHIR‑compatible export of compliance data for integration with environmental reporting tools
- Role‑based access control and end‑to‑end encryption to meet industry data‑security standards
- Optional next‑generation electrochemical impedance spectroscopy (EIS) sensor module for enhanced water quality monitoring (under development)