TROVE offers a Sunstone Platform that fuses multi-source client data with over 2,000 external attributes to process massive volumes of structured, semi-structured, unstructured, and high-velocity streaming data. Its proprietary algorithms and self-learning models identify correlations and predict individual customer behaviors, enabling clients to act on data-driven insights. TROVE’s technology has reportedly increased energy-efficiency program response rates by nearly 300% and delivered energy reduction per customer of 37%. The company’s solutions enable benchmarking, forecasting, and optimization of individual energy assets to reduce total building energy consumption. TROVE’s platform is positioned for use by utilities and commercial clients to better manage resources and assets across large portfolios. TROVE Predictive Data Science (formerly GridGlo) fuses internal customer data with external third-party attributes and applies proprietary predictive science through its TFX platform. The platform ingests structured, semi-structured, unstructured, and high-velocity streaming data and leverages over 2,000 external attributes. TROVE’s analytics and algorithms power applications including program optimization, fraud identification, demand forecasting, and customer segmentation and are delivered through web-interface tools. Today the platform is helping utility companies optimize programs, identify fraud, forecast demand, and segment customers. The company raised $1.1M in new capital to develop new applications for the platform, with funding from new strategic investors and existing investor/partner CUBRC, Inc. CUBRC is described as a research organization with deep multi-source data fusion expertise initially developed for the U.S. Department of Defense and other government agencies. TROVE was founded in 2010 and is headquartered in Delray Beach, FL.

Total raised

$1M

Funding rounds

2

Latest round

Equity

Latest activity

Aug 2013