List of MachEye Customers
Fremont, 94537, CA,
United States
Since 2010, our global team of researchers has been studying MachEye 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 MachEye for Analytics and BI 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 MachEye for Analytics and BI include: TransUnion, a United States based Professional Services organisation with 13200 employees and revenues of $3.83 billion, Aviso, a United States based Professional Services organisation with 200 employees and revenues of $33.0 million, Eltropy, a United States based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using MachEye, 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 MachEye 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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Aviso | Professional Services | 200 | $33M | United States | MachEye | MachEye | Analytics and BI | 2022 | n/a |
In 2022 Aviso embedded MachEye into its RevOps and sales platform in the United States to provide natural language driven analytics and search for deal and pipeline interrogation, using MachEye as the Analytics and BI capability within sales workflows. The deployment focused on in‑application intelligent search that lets sales managers ask ad hoc questions about deals, pipelines and risks, surfacing analytics without leaving the Aviso interface.
The implementation centered on MachEye natural language intelligent search and analytics embedding, configured to interpret conversational queries and return deal level context, pipeline rollups and risk indicators. Functionally this delivered an in‑app question and answer experience for sales managers and RevOps teams, increasing end user self service for analytics tasks and reducing reliance on engineering or support for ad hoc reporting.
Integration was executed as an embedded analytics layer inside Aviso's existing RevOps and sales application in the United States, maintaining operational coverage for sales managers and sales operations personnel. The work integrated search driven analytics directly into sales workflows so that insights appear inline with deal and pipeline views rather than as a separate reporting portal.
Governance and operational change emphasized self service adoption, shifting routine query resolution away from support and engineering toward sales operations and line managers, aligning roles for analytics consumption. The May 2022 case study reports improved time to insight, reduced support and engineering costs, and increased user self service as explicit outcomes of the MachEye integration.
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Eltropy | Professional Services | 10 | $1M | United States | MachEye | MachEye | Analytics and BI | 2022 | n/a |
In 2022, Eltropy implemented MachEye to provide customer acquisition and product adoption analytics, using MachEye as an Analytics and BI solution for its financial customers in the United States. The deployment focused on surfacing insights from large volumes of customer and usage data to inform commercial and product decisions.
Configuration emphasized embedded analytics and search capabilities inferred from the vendor testimonial, with MachEye delivering in product insights and indexed query driven exploration. MachEye was configured to generate automated reporting workflows consumed by customer success and marketing teams, and the vendor testimonial explicitly cites faster time to insight as an outcome.
Architecture centered on an embedded analytics delivery model that ingested customer interaction and usage records to power dashboards and search results. Operational coverage targeted financial customers in the United States and internal functions including customer success, marketing, and product management.
Governance focused on operationalizing automated reports for ongoing measurement of customer acquisition and product adoption, with rollout oriented toward enabling customer success and marketing teams to act on analytics outputs. Configuration and module usage prioritized embedded analytics, search, and automated reporting as the primary MachEye capabilities supporting Eltropy business functions.
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TransUnion | Professional Services | 13200 | $3.8B | United States | MachEye | MachEye | Analytics and BI | 2022 | n/a |
In 2022, TransUnion implemented MachEye in the United States to activate a comprehensive set of data analytics capabilities. The deployment used MachEye within the Analytics and BI category to enable the analytics team to deliver actionable, in-app insights to business users across finance and risk analytics.
The implementation emphasized embedded augmented analytics and search driven insight delivery, reflecting vendor testimonial signals that MachEye's embedded augmented analytics and search modules were used to surface context-aware recommendations and natural language queries within operational applications. MachEye provided capabilities for interactive exploration, natural language search, and in-application visualization to support analyst-led insight generation.
Operational coverage centered on the analytics team and downstream business users in finance and risk analytics, with in-app delivery channels embedding insights into existing decision workflows. The deployment architecture prioritized embedding analytics within business applications to shorten time-to-insight and to operationalize analytics outputs where business decisions are executed.
Governance attention focused on aligning analytics outputs to finance and risk business functions and on restructuring analytics-to-consumer workflows to increase consumption of in-application insights. The implementation of MachEye in the Analytics and BI category improved time-to-insight and enabled TransUnion's analytics organization to surface actionable insights directly to business users.
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