List of Auger.AI Customers
San Jose, 95113, CA,
United States
Since 2010, our global team of researchers has been studying Auger.AI 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 Auger.AI for AI Model Deployment and Monitoring 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 Auger.AI for AI Model Deployment and Monitoring include: AT&T, a United States based Communications organisation with 146040 employees and revenues of $122.43 billion and many others.
Contact us if you need a completed and verified list of companies using Auger.AI, 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 Auger.AI 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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AT&T | Communications | 146040 | $122.4B | United States | Auger.AI | Auger.AI | AI Model Deployment and Monitoring | 2020 | n/a |
In 2020, Auger.AI influenced an HR skills-inference and upskilling deployment at AT&T through EmPath after Auger founder Adam Blum joined EmPath as CTO. EmPath announced a full deployment of its skills-inference/upskilling platform at AT&T in the United States, and public reporting links that deployment to Auger-derived AutoML and MLRAM capabilities rather than a direct AT&T purchase of Auger.AI. Auger.AI is cited as the originating AI Model Deployment and Monitoring approach that informed EmPath's model lifecycle practices. The connection positions Auger.AI as the technical lineage behind AutoML-driven talent analytics in this HR deployment.
The EmPath deployment at AT&T implies implementation of category-aligned capabilities common to AI Model Deployment and Monitoring, including automated model training and selection, model versioning and orchestration, runtime inference pipelines for skills scoring, and monitoring of model behavior in production. Operational scope reported centers on HR and talent management, specifically employee training and re-skilling workflows deployed across AT&T’s US operations. The founder transition from Auger.AI to EmPath indicates transfer of Auger-derived MLRAM and AutoML practices into EmPath’s governance and model lifecycle processes that underpinned the announced AT&T rollout.
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