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TROVE Predictive Data Science
Innovator in predictive data-science technology
About TROVE Predictive Data Science
TROVE Predictive Data Science emerged as a spin-off from CUBRC, a Buffalo, New York-based non-profit research and development company. The firm was established to commercialize a sophisticated data fusion technology developed at CUBRC. One of the early founders was Isaias Sudit, who, along with colleagues like CTO Adam Stotz, saw an opportunity to apply their expertise in data analytics, originally honed in defense and intelligence contracting, to the commercial sector. Recognizing they lacked direct experience in the utility industry, the founding team established an advisory panel of utility executives to guide the development of their product portfolio. The company, formerly known as GridGlo, secured seed funding around 2014, which facilitated key hires like Adam Stotz moving to a full-time position. A significant milestone was its acquisition by E Source, a research and advisory firm for the utility sector, in February 2020. This acquisition integrated TROVE's artificial intelligence capabilities with E Source's extensive industry knowledge and client base.
Read full description
TROVE operates in the predictive analytics market, delivering artificial intelligence and data science solutions primarily for the utility industry. Its business model revolves around a Software-as-a-Service (SaaS) platform, supplemented by a consulting arm known as the "Science Squad"®, which helps clients deploy and leverage the technology effectively. Revenue is generated by providing these software and service solutions to data-intensive clients like public utilities and telecommunications companies. The company's platform addresses complex, high-value challenges by fusing a client's internal data with thousands of attributes from external third-party data sources. This enables TROVE to offer predictive insights for use cases such as demand forecasting, fraud identification, customer segmentation, and optimizing vegetation management to reduce wildfire risk. For instance, the platform can create predictive models for lightning strikes or avian patterns to optimize the placement of protective equipment on the distribution grid. Actionable insights are delivered to end-users through straightforward web interface tools, designed for operational use.
At a glance
- Status
- Acquired
- Founded
- 2010
- Headquarters
- Buffalo, United States
- Employees
- 4
- Open positions
- None listed
- Dealroom signal
- 56.8/100
- Industry
- Energy, Enterprise Software
- Sector
- Energy, Analytics, Predictive Analytics, Business Intelligence, Sustainable Development Goals, Climate Tech, Hard Tech
- Technology
- Big Data
- Business model
- SaaS
- Client focus
- b2b
Latest news
Press, funding announcements and product moves mentioning TROVE Predictive Data Science.
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| ACQUISITIONOther financing | Feb 2020 | $0 | — | E Source | — |
| SERIES BOther financing | Apr 2016 | $11M | $44M | Undisclosed | — |
Growth signals
Latest recorded traffic for TROVE Predictive Data Science is 90 monthly website visits, down 91.8% over the last three months. TROVE Predictive Data Science's team grew 0% over the past year.
Similar companies
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Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed1 investor entered at this stage
CUBRC
Series A2 investors entered at this stage
Itron
Avista Utilities
Other known investors2 additional known investors
E Source
Bennett Fisher
Source: Dealroom Talent Intelligence.
Global footprint
Market sentiment
An AI-synthesised read of the highest-engagement posts about TROVE Predictive Data Science on X, ranked by likes and reposts, corporate channels excluded.
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Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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