Remedy Scientific provides autonomous robots that perform in‑situ soil and groundwater remediation using real‑time sensor analytics, AI‑controlled catalytic chemistry, and cloud‑based monitoring. The system continuously samples contaminants, doses proprietary reagents to break down pollutants, and optimizes treatment to reduce chemical use and operational costs for government agencies, industrial landowners, and remediation contractors.
Funding
Funding not disclosed
Founders
Product
Problem
Millions of sites worldwide suffer from soil and groundwater contamination due to industrial waste, mining tailings, and legacy pollutants. Conventional remediation relies on batch‑wise treatment, heavy equipment, and extensive manual labor, which limits scalability and prolongs site closure. Delayed cleanup increases environmental risk and hampers land reuse for agriculture, development, or ecosystem restoration.
Solution
Remedy Scientific delivers autonomous remediation robots that combine real‑time sensor analytics, AI‑driven process control, and proprietary catalytic chemistry to target contaminants in situ. Mobile platforms continuously sample soil and water, identify pollutant concentrations, and deploy precisely dosed chemical agents that break down hazardous compounds without incineration or harsh reagents. The AI engine learns from each deployment, optimizing treatment sequences and reducing chemical usage over time. All operational data stream to a cloud‑based dashboard, enabling remote monitoring, regulatory reporting, and predictive maintenance. This integrated approach scales from small brownfield parcels to multi‑hectare industrial sites, accelerating cleanup while lowering total cost of ownership.
Target Audience
Primary customers are government environmental agencies, large landowners (e.g., mining and industrial firms), and remediation contractors seeking scalable, data‑driven cleanup solutions for contaminated sites. Secondary users include NGOs and consulting firms that require transparent reporting and efficient remediation technology.
Features
- Multi‑modal sensor suite (spectroscopic, electrochemical, and GIS‑linked probes) for real‑time contaminant profiling
- Autonomous navigation and obstacle avoidance for continuous operation across uneven terrain
- Proprietary catalytic chemistry that mineralizes organic pollutants and immobilizes heavy metals without high‑temperature incineration
- AI optimization layer that adjusts reagent dosing and treatment pathways based on live feedback loops
- Modular hardware architecture allowing rapid reconfiguration for site‑specific contaminant mixes
- Cloud‑hosted analytics platform with dashboards for KPI tracking, compliance documentation, and remote diagnostics
- Integrated safety protocols with fail‑safe shutdown, geofencing, and environmental impact monitoring