Solutions
Purpose-built intelligence for every layer of the energy system — from behind-the-meter microgrids to utility-scale grid operations.
Microgrids & Communities
Who it's for
Community energy projects, campus microgrids, island and off-grid systems, commercial and industrial behind-the-meter operators.
The problem
Localized grids need real-time balancing of generation, storage, and load — but most operators rely on static schedules or manual intervention. This leads to unnecessary diesel backup, curtailed renewables, and poor reliability.
Outcomes
- Automated dispatch that responds to real-time conditions
- Higher renewable utilization with fewer manual overrides
- Reduced dependency on backup generation
- Improved uptime and system reliability
Energy Developers & IPPs
Who it's for
Renewable energy developers, independent power producers, project finance teams, and development engineers.
The problem
Siting and planning renewable assets requires demand insight that is often outdated, unavailable, or too coarse. Developers make high-stakes investment decisions with incomplete views of where energy is needed and when.
Outcomes
- Granular demand and load forecasts for project planning
- Feasibility modeling with renewable variability built in
- Faster due diligence with better data inputs
- Ongoing optimization post-commissioning
Utilities & Operators
Who it's for
Distribution utilities, regional grid operators, state-owned enterprises, and large-scale energy service providers.
The problem
Utility-scale grids are designed for centralized, predictable generation. As distributed renewables grow, legacy control systems and planning tools are too slow to manage real-time variability, leading to grid instability and over-procurement.
Outcomes
- Real-time load forecasting layered on existing infrastructure
- Dispatch optimization across distributed assets
- Dynamic pricing and tariff simulation
- Reduced over-build and improved grid stability