Case Studies
Integral Analytics, a leader in energy forecasting, needed to modernize internal tools to support increasingly complex forecasting demands. As the team expanded its use of AI to predict community-level energy needs, they required a scalable, production-ready environment that improved visibility, accelerated feature delivery, and supported new product growth, without disrupting active client implementations.
In collaboration with Integral Analytics, Ingage Partners strengthened development and project management capacity to accelerate and scale the platform. The team delivered new grid planning and AI-driven forecasting capabilities, improved the user experience, standardized Azure infrastructure through Infrastructure-as-Code, and supported early beta releases. Ingage also advanced forecasting accuracy through sophisticated modeling and provided project leadership across key initiatives, ensuring stability, scalability, and long-term reliability.
The partnership accelerated the delivery of AI-powered forecasting capabilities to early beta customers while significantly improving forecast accuracy through enhanced modeling. Unified Azure environments and structured workflows increased operational clarity, security, and project visibility. With responsible AI practices embedded into development, the collaboration established a scalable, long-term foundation for continued innovation across future forecasting products.

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