List of RelationalAI Customers
Berkeley, 94704, CA,
United States
Since 2010, our global team of researchers has been studying RelationalAI 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 RelationalAI for Database Management 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 RelationalAI for Database Management include: AT&T, a United States based Communications organisation with 146040 employees and revenues of $122.43 billion, Blue Yonder, a United States based Distribution organisation with 8000 employees and revenues of $1.36 billion, Cash App, a United States based Professional Services organisation with 3900 employees and revenues of $1.00 billion and many others.
Contact us if you need a completed and verified list of companies using RelationalAI, 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 RelationalAI 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 | RelationalAI | RelationalAI | Database Management | 2024 | n/a |
In 2024, AT&T implemented RelationalAI in the United States, deploying RelationalAI as a Database Management solution to deliver Snowflake-native decision intelligence and knowledge graph capabilities for telecom network analytics and SLA prediction. The implementation targeted predictive detection of 5G cell breaches and automated recommendation workflows to rebalance traffic and reduce call failures, with the program moving from initial deployment to live operation during 2024.
RelationalAI was configured to leverage knowledge graph modeling and rules based graph analytics modules to represent network topology, service level agreements, and event telemetry, enabling graph traversals and rule execution for anomaly detection and remediation guidance. The solution used decision intelligence constructs to convert graph insights into prescriptive recommendations for traffic rebalancing, supporting operational use cases such as cell breach alerting and automated remediation suggestions.
The deployment was Snowflake native, integrating directly with the Snowflake Data Cloud for storage and query processing while hosting RelationalAI components for graph computation and rule evaluation. Operational coverage focused on network operations and SLA management functions within AT&T’s United States network footprint, aligning the Database Management application to engineering and reliability workflows that consume predictive alerts and recommended actions.
Governance and rollout followed a production oriented cadence in 2024, with analytics and network reliability teams operating the knowledge graph models and rulesets, and operational procedures updated to incorporate graph driven alerts and rebalancing recommendations. The live implementation delivered predictive 5G cell breach detection and recommendation capabilities as described, with RelationalAI serving as the Database Management platform underpinning network analytics and SLA prediction.
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Blue Yonder | Distribution | 8000 | $1.4B | United States | RelationalAI | RelationalAI | Database Management | 2024 | n/a |
In 2024, Blue Yonder implemented RelationalAI inside Snowflake to extend supply chain planning and optimization capabilities across its distribution operations in the United States. RelationalAI, classified as Database Management, was positioned to provide model-driven analytics and inference directly within the Snowflake hosted data environment.
Deployment focused on applying mixed integer programming, network analytics, and rules based reasoning to core planning workflows. The implementation used RelationalAI optimization capabilities for mixed integer programming and network analytics for topology and flow analysis, integrated into scenario planning and constraint based optimization processes.
The solution architecture placed RelationalAI processes within the Snowflake data environment to leverage cloud warehousing for model inputs and results, enabling orchestration of optimization runs and analytic scoring where data residency remained in Snowflake. Operational coverage centered on supply chain planning and optimization teams across Blue Yonder United States distribution operations, supporting constraint modeling, scenario evaluation, and automated rules based decisioning.
Blue Yonder presented the collaboration publicly at Snowflake Data Cloud Summit 2024 and the project is estimated to have been implemented and live in 2024. The work was described as being applied to improve resiliency and planning decisions within supply chain planning and optimization workflows.
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Cash App | Professional Services | 3900 | $1.0B | United States | RelationalAI | RelationalAI | Database Management | 2024 | n/a |
In 2024, Cash App implemented RelationalAI as a Database Management solution, deploying RelationalAI’s Snowflake-native knowledge graph to support analytics on its payments platform. The engagement was publicized at the Snowflake Data Cloud Summit in 2024 and is reported to have gone live that year.
The implementation concentrated on customer segmentation and behavioral modeling to identify high-value users and grow engagement on Cash App’s United States payments platform. Session materials indicate the deployment leveraged graph analytics and network-science style modeling capabilities within RelationalAI to surface relationship patterns and behavioral signals for product and growth teams.
RelationalAI was operated directly on Snowflake, using a Snowflake-native knowledge graph architecture to run graph queries and analytic workloads without exporting data from the Snowflake Data Cloud. This architecture positioned RelationalAI as the Database Management layer for connected customer data, supporting graph processing adjacent to existing Snowflake data assets.
Operational scope covered analytics and growth functions within Cash App, with outcomes focused on identifying high-value customers and increasing platform engagement as stated in the public announcement. Governance and rollout were presented publicly at Snowflake Summit, indicating an enterprise aware production readiness milestone in 2024.
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