AI & IoT Precision Automation
Request live demoSpectral Sensors
Capture unprecedented visibility into fluid chemistry.
Edge Gateway
AI hub on the shop floor pulling in sensor data.
Custom ML Models
Deployed on the Edge Gateway to process sensor data and drive optimized operations.
Insights Dashboard
Track KPIs and savings, digitalize SOPs, and identify areas of inefficiencies.
H2Ok's patented full-stack system automates data-driven decisions.
Closed-loop automation driving efficient operations. Utilize a network of versatile and scalable proprietary spectral sensors, ML edge compute models, and process insights software.
| Equipment | Water Saved | Time Saved | Energy Saved | Product Loss | |
|---|---|---|---|---|---|
Tank 12 | 12:01 - 12:37pm 36m | 316 gal | 6.7 min | 12.2 kWh | 45 lb Milk |
Line 3 | 12:43 - 1:45pm 1h 2m | 456 gal | 23.2 min | 7.8 kWh | 67 lb Mayo |
Line 7 | 2:02 - 3:01pm 59m | 1095 gal | 38.1 min | 21.2 kWh | 98 lb Cocoa |
Line 10 | 6:27 - 7:20pm 53m | 2318 gal | 46.8 min | 20.3 kWh | 4 lb Mayo |
Line 7 | 6:59 - 7:12pm 13m | 102 gal | 5.3 min | 2.3 kWh | 1 lb Mayo |
Tank 23 | 9:01 - 10:12pm 1h 11m | 3318 gal | 39.1 min | 29.2 kWh | 102 lb Cream |
Spectral Sensors.
Captures a spectral fingerprint of any material and continuously sends spectral data within parameters of interest to the Machine Learning Edge Gateway.
Molecular AnalysisDetermine the exact composition & concentration of what's in your pipes.
ContactlessSee into your equipment without making any contact with the fluid.
Edge Gateway and ML Models.
AI Hub on the shop floor pulling in sensor data and enabling ML.
Custom ML Models
- Backend machine learning model dynamically converts spectral data into actionable information
- Replaces static time based/grab sample based processes into dynamically optimized real time processes based on data
- Infinitely programmable for any data points
ConnectEasily integrate with on-prem plant control system (PLC, DCS, HMI, SCADA, etc.)
Insights.
Cloud process insights + optimization software.
DashboardTools to visualize sensor data and monitor live data for deeper data analysis.
SummaryComputationally selected segments of time-series data from the sensor to identify and track key processes at a facility.
Overview Macro-level information about liquid usage and savings for each facility (think KPIs for industrial plants).