Forecast yield.
Before the
feedstock arrives.
An AI engine that learns each plant's behaviour and forecasts gas output 7 to 14 days ahead. Procurement plans against forecasts. Engineers spot drift early. Owners stop being surprised by the monthly invoice.
Six inputs. One forecast.
The AI engine learns from six input streams collected at every BioSarthi-monitored plant. It outputs a 14-day forecast that updates daily and quantifies its own confidence.
Trained on operating data from BioSarthi-monitored plants across Indian feedstocks — press mud, paddy straw, FOG, MSW, manure.
Inputs to forecast, in four stages.
The AI sits behind the monitoring layer. It does not require new hardware, only enough operating history to learn a plant's behaviour. Most plants reach reliable forecasts within 60 days.
A complete forecast, one tile each.
Each tile answers a question someone in your business asks every week. Procurement, engineering, finance, compliance, all reading from the same forecast.
What's a forecast worth at your scale?
Drag to set your monthly gas output. We size the cashflow visibility, downtime risk avoided, and procurement savings the forecast unlocks.
Audit-ready forecasts.
Forecasts are explainable and exportable. Each forecast comes with the input weights that drove it. Patent-pending model architecture, trained exclusively on Indian feedstock.
Spreadsheets. Generic ML.
Or this.
A forecasting rollout, end to end.
Five phases from first data import to forecasts feeding your ERP. If you already have BioSarthi monitoring, week 1 collapses.
What it looks like, in the dashboard.
Visual landmarks of a forecasting deployment, the views your procurement, engineering, and finance teams open every morning.
Voices from live plants.
Things owners ask first.
Want forecasts for your fleet?
30 minutes with our data team. Walk out with a forecast accuracy estimate for your plants, an integration plan, and a clear next step.