From grid operations and renewable forecasting to crop analytics, flood monitoring, and geospatial intelligence — every platform is built to transform complex planetary data into precision decisions.
Search the earth the way you search the web — by context, not coordinates. Type a survey number, village name, or crop type and get a full 360° intelligence profile: parcel boundaries, crop history, soil moisture, vegetation health, flood risk, and ownership records.
Unified decision support for energy utilities. Real-time visibility into demand patterns, generation mix, and grid stability. Multi-revision forecasting with sub-2% MAPE accuracy. Go live within 3 weeks.
Institutional-grade market operations for power procurement and merchant trading. Portfolio-level position management, settlement reconciliation, and multi-market analytics across IEX, PXIL, and bilateral channels.
Aggregate and optimize distributed energy resources into dispatchable virtual power plants. Scalable from rooftop solar clusters to utility-scale battery networks with real-time optimization and market participation.
Talk to your energy analyst. ARIA is a voice-enabled conversational AI — ask about demand forecasts, market prices, weather impact, or run what-if scenarios through natural voice in 10+ Indian languages.
Advanced energy optimization using CVaR and linear programming. Optimizes generator dispatch, market participation, and portfolio hedging across 96 daily trading blocks with interactive risk-reward tradeoff exploration.
The backbone data layer powering all Quenext products. Manages data sources, connectors, and ingestion pipelines. Live integrations with IEX, Vidyut Pravah, IBM Weather, MERIT India, PXIL, and SLDC feeds.
Unified analytics constellation connecting all platform products into a single intelligence layer. Cross-product data correlation, unified dashboards, and enterprise-grade reporting with multi-tenant support and RBAC.
Domain-specific engines extending the core platform suite.
Physics-hybrid solar power forecasting with irradiance-to-power conversion, Perez transposition, and soiling models. MAPE ≤4.2%.
Hub-height wind power prediction using multi-level atmospheric modeling, turbine-specific power curves, and terrain-adjusted wake effects. MAPE ≤5.8%.
Precision agriculture analytics at parcel level. Crop classification across 30+ classes, seasonal change detection, risk factor identification. Accuracy >92%.
River basin monitoring and flood prediction. Satellite-derived water extent, DEM, rainfall forecasts, upstream gauge telemetry. 72hr lead time, >88% accuracy.
Let us show you how Quenext platforms can drive measurable impact for your organization.