List of Exacter Predictive Analytics Customers
Exacter
1105 Schrock Rd Ste 401,
Columbus, 43229-1154, OH,
United States
Columbus, 43229-1154, OH,
United States
1 614-880-9320
Professional Services
12
$2M
Since 2010, our global team of researchers has been studying Exacter Predictive Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Exacter Predictive Analytics for EPM from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Exacter Predictive Analytics for EPM include: Pedernales Electric Cooperative, a United States based Utilities organisation with 900 employees and revenues of $833.0 million, Unitil Energy Systems, a United States based Utilities organisation with 508 employees and revenues of $527.1 million, CoServ Electric, a United States based Utilities organisation with 500 employees and revenues of $146.0 million, City of Orrville Electric, a United States based Utilities organisation with 100 employees and revenues of $50.0 million, Long Island Power Authority, a United States based Professional Services organisation with 200 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using Exacter Predictive Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Exacter Predictive Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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City of Orrville Electric | Utilities | 100 | $50M | United States | Exacter | Exacter Predictive Analytics | EPM | 2017 | n/a |
In 2017, City of Orrville Electric deployed Exacter Predictive Analytics, an EPM solution to instrument overhead distribution assets and target pre-failure conditions across its network. The program built on an earlier pilot and a 2016 re-engagement, and in a concentrated assessment Exacter evaluated 100 miles of three-phase lines within a system responsible for over 400 miles of distribution plant.
Exacter Predictive Analytics was applied to identify potential outage locations using vehicle-based patrol detection followed by pole-level ultrasonic inspection to pinpoint arcing components. The delivered reports included GPS coordinates, pole numbers, Google and Google Earth map images, and photographs, with an individual report page for each of the 21 findings, enabling a clear inspection-to-repair workflow for field crews.
Operational coverage focused on both residential feeders and commercial and industrial circuits that support the manufacturing base in Orrville, aligning the application to operations and asset management functions and to outage prevention activities. Field execution combined routine utility truck patrols with targeted pole climbs and ultrasonic measurement, which changed the unit of work from broad patrols to specific asset remediation tasks.
Governance for the engagement involved utility leadership review and city council approval prior to the project, and the utility scheduled continued assessments in 2017 and beyond to sustain reliability monitoring. The Exacter Predictive Analytics deployment resulted in 21 identified repairs, including lightning arrester restorations, and the utility reported that these targeted repairs addressed nonvisual deterioration and reduced the risk of unplanned outages.
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City of Westerville, OH | Government | 468 | $50M | United States | Exacter | Exacter Predictive Analytics | EPM | 2007 | n/a |
In 2007, City of Westerville, OH deployed Exacter Predictive Analytics. The City of Westerville, OH implemented Exacter Predictive Analytics, an EPM application, to instrument condition-based patrols across its 135 miles of overhead distribution and to detect early failure signatures that are not visible on routine visual inspection.
Exacter Predictive Analytics was used to perform multiple patrols and full surveys in the first year, with Exacter identifying 43 locations exhibiting failure signatures. The implementation combined acoustic and ultrasonic inspection methods with survey-driven analytics to flag arcing, intermittent connections, and component degradation, enabling field crews to prioritize targeted inspections and repairs.
Operational coverage included the city electric utility field crews, circuits serving five of Westerville’s six substations, and customer-facing outage risk areas. Field crews verified arcing at pole locations using ultrasonic technology as part of the verification workflow, and Exacter survey outputs were treated as operational alerts for maintenance dispatch and troubleshooting of recurring customer complaints.
Rollout and governance followed an iterative adoption pattern, with multiple patrols in the initial year and progressive acceptance by field staff as verified failures were remediated. The technology became embedded as a standard reliability-improvement tool for the utility, with procedures for site verification and component isolation added to maintenance workflows.
The deployment produced several explicit operational outcomes documented by the utility, including early detection of a 69-kV overhead to underground transition that had burning arrestor leads and an imminent failure risk that could have impacted 80 percent of the city electrical system, identification of a smoking cross arm that would have led to an outage affecting 551 customers, and discovery of an intermittent stinger connection that resolved a persistent flicker complaint. Exacter Predictive Analytics remained in use by the City of Westerville for more than ten years as a predictive detection capability within their EPM-driven reliability program.
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CoServ Electric | Utilities | 500 | $146M | United States | Exacter | Exacter Predictive Analytics | EPM | 2017 | n/a |
In 2017, CoServ Electric implemented Exacter Predictive Analytics as an EPM application to add predictive overhead asset health intelligence to its ongoing reliability program. The deployment was introduced after a pilot run during an extreme lightning season, and the intent was to identify at-risk conditions that visual inspection had not detected, enabling proactive maintenance and resilience planning.
Exacter Predictive Analytics was applied using patented field sensors and predictive overhead health assessment capabilities, surveying 180 miles of 3-phase circuits in densely populated service areas. The implementation produced discrete findings for field crews, identifying 67 problematic conditions on 67 poles, with 48 percent of findings classified as insulators, 40 percent as lightning arresters, and two arcing transformers, and a discovery rate for CoServ of one problematic location approximately every 2.7 miles.
Operationally the solution fed deterministic work priorities into CoServ maintenance workflows, enabling reliability and operations teams to remove and replace degraded components before outages occurred. Davey Tree facilitated introduction to Exacter, and the program was governed by reliability leadership who designated circuits for survey and follow up, linking Exacter field intelligence into asset repair and vegetation or maintenance activities.
CoServ used Exacter Predictive Analytics to sustain and extend prior reliability improvements achieved through earlier system interventions, and the utility reported the assessment data had the potential to prevent over 500,000 customer minutes of interruption. The implementation is positioned as a predictive maintenance layer within EPM for reliability engineering, asset management, and operational planning, providing field intelligence to prioritize interventions and reduce exposure to storm driven outages.
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Long Island Power Authority | Professional Services | 200 | $50M | United States | Exacter | Exacter Predictive Analytics | EPM | 2010 | n/a |
In 2010 Long Island Power Authority implemented Exacter Predictive Analytics as an EPM application and launched a two year pilot to evaluate the patented Exacter technology for overhead system assessment. The deployment focused on instrumenting worst performing circuits to generate predictive condition data and to support targeted inspection workflows.
Exacter Predictive Analytics was configured to perform predictive analytics and condition assessment across transmission and distribution assets, with functionality to detect degraded or contaminated components, flag locations for follow up, and produce engineering oriented reports for inspection teams. The implementation emphasized automated identification and prioritization of components based on measured degradation signals, aligning analytics output to field inspection and laboratory test planning.
The operational scope of the pilot included 18 distribution circuits and 15 transmission circuits covering 334 total circuit miles. During the February 2010 assessment Exacter identified 68 locations with one or more components of concern and reported 100 total components, of which 96 were distribution system components and 4 were transmission system components.
Governance for the program was delivered as a two year pilot under National Grid management, with National Grid selecting specific components identified by Exacter for independent validation by EPRI. The independent EPRI study and subsequent program reporting confirmed detection capability, noting that more than 95 percent of identified components were not detected by visual inspection, that laboratory validation confirmed roughly 50 percent of transmission findings and roughly 80 percent of distribution findings, and that results were presented at the EEI 2013 Spring Transmission, Distribution, and Metering conference.
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Pedernales Electric Cooperative | Utilities | 900 | $833M | United States | Exacter | Exacter Predictive Analytics | EPM | 2016 | n/a |
In 2016, Pedernales Electric Cooperative implemented Exacter Predictive Analytics to introduce predictive-based maintenance across its distribution network, deploying the application as an EPM solution to support System Maintenance Engineering and Operations. The deployment began as a pilot directed by a full-system historical outage analysis performed by Davey Resource Group, covering scans along more than 700 line miles of three phase main line and targeting divisions with the highest historical customer impact.
The implementation combined Exacter Predictive Analytics with field inspection modalities, including infrared scans, to identify equipment in early or late stage failure. Exacter analytics and DRG inspections pinpointed 128 problematic components, and each item was prioritized using DRG’s criticality measure that assigns a customer impact number to locations, informing maintenance triage and work planning.
Operational integrations included PEC’s GIS connectivity data, and the deliverables from Exacter provided precise GPS locations, maps and images for each flagged component. Those outputs were consumed by line crews and maintenance planners to convert analytics into field activity, enabling scheduled repairs during normal business hours rather than reactive after hours dispatch, and extending the analytical view across PEC’s entire distribution system.
Governance and process changes accompanied the technical rollout, with operations redefining worst performing circuits to emphasize customer impact and member concentration rather than total outage counts. The asset health assessment workflow introduced by DRG and Exacter altered inspection responsibilities for staff and linemen, shifting from manual visual inspection to data driven targeting and prioritized maintenance execution.
The project produced explicit system outcomes reported by PEC, including a 22 percent reduction in Customer Minutes of Interruption for outages related to overhead equipment system wide, a 15 percent improvement in the pilot area one year after repairs, and an overall 24 percent improvement in total system CMI related to equipment. The deployment also noted a 24 percent increase in events caused by faulty arresters, attributed to end of life factors for equipment installed approximately a decade earlier.
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Utilities | 30 | $5M | United States | Exacter | Exacter Predictive Analytics | EPM | 2018 | n/a |
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Utilities | 508 | $527M | United States | Exacter | Exacter Predictive Analytics | EPM | 2013 | n/a |
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Utilities | 120 | $20M | United States | Exacter | Exacter Predictive Analytics | EPM | 2017 | n/a |
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Utilities | 150 | $40M | United States | Exacter | Exacter Predictive Analytics | EPM | 2013 | n/a |
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Buyer Intent: Companies Evaluating Exacter Predictive Analytics
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Exacter Predictive Analytics Coverage
Exacter Predictive Analytics is a EPM solution from Exacter.
Companies worldwide use Exacter Predictive Analytics, from small firms to large enterprises across 21+ industries.
Organizations such as Pedernales Electric Cooperative, Unitil Energy Systems, CoServ Electric, City of Orrville Electric and Long Island Power Authority are recorded users of
Exacter Predictive Analytics for EPM.
Companies using Exacter Predictive Analytics are most concentrated in Utilities and Professional Services, with adoption spanning over 21 industries.
Companies using Exacter Predictive Analytics are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Exacter Predictive Analytics across Americas, EMEA, and APAC.
Companies using Exacter Predictive Analytics range from small businesses with 0-100 employees - 22.22%, to mid-sized firms with 101-1,000 employees - 77.78%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.
Customers of Exacter Predictive Analytics include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Exacter Predictive Analytics customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of EPM.