List of CognitiveScale Platform Customers
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Since 2010, our global team of researchers has been studying CognitiveScale Platform 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 CognitiveScale Platform for ML and Data Science Platforms 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 CognitiveScale Platform for ML and Data Science Platforms include: Morgan Stanley, a United States based Banking and Financial Services organisation with 80000 employees and revenues of $61.76 billion, USAA (United Services Automobile Association), a United States based Insurance organisation with 38000 employees and revenues of $48.60 billion, Keller Williams, a United States based Construction and Real Estate organisation with 18000 employees and revenues of $3.50 billion and many others.
Contact us if you need a completed and verified list of companies using CognitiveScale Platform, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Keller Williams | Construction and Real Estate | 18000 | $3.5B | United States | CognitiveScale | CognitiveScale Platform | ML and Data Science Platforms | 2018 | n/a |
In 2018 Keller Williams selected the CognitiveScale Platform to augment its Keller Cloud and deliver AI-based predictive decision support and hyper-local market insights to real estate agents in the United States. The CognitiveScale Platform is used as an ML and Data Science Platforms solution and leverages CognitiveScale’s Cortex5 capability to surface agent recommendations and to accelerate internal R&D workflows within Keller Williams’ CRM and agent productivity process area.
The implementation integrated Cortex5 into Keller Cloud as an AI services layer, providing predictive decision support, a recommendation engine for agents, and hyper-local market insight capabilities that were designed to feed agent-facing CRM workflows. Configuration focused on model orchestration and deployment of curated predictive models and recommendation logic into agent productivity touchpoints, enabling the firm to operationalize machine learning outputs in day to day real estate processes.
Operational scope emphasized US real estate agents and CRM teams, with Keller Williams R&D and product teams coordinating model iteration and rollout to agent interfaces. The vendor announcement explicitly describes the Cortex5 integration and its role in speeding R&D and surfacing agent recommendations, which framed governance around embedding AI recommendations into existing agent workflows and accelerating experimentation cycles rather than replacing core CRM infrastructure.
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Morgan Stanley | Banking and Financial Services | 80000 | $61.8B | United States | CognitiveScale | CognitiveScale Platform | ML and Data Science Platforms | 2017 | n/a |
In 2017, Morgan Stanley implemented CognitiveScale Platform to support decision intelligence and customer insights for banking and wealth management. Public vendor materials identify Morgan Stanley as a Cortex customer, which ties the deployment to CognitiveScale’s decision intelligence capabilities and suggests use of AI engineering and personalization workflows within the CognitiveScale Platform, categorized as ML and Data Science Platforms.
The implementation emphasized platform capabilities common to ML and Data Science Platforms, including AI engineering, model orchestration, feature engineering and customer insight orchestration. CognitiveScale Platform is described in vendor materials as enabling decision intelligence and personalization, and the implementation narrative therefore centers on automated model pipelines, inference orchestration for customer signals, and profile driven personalization to support wealth management use cases.
Operational coverage was focused on financial services in the United States, specifically banking and wealth management processes. Governance and operational controls were aligned to the platform use case, with an implied focus on model lifecycle governance, data pipeline management and decisioning governance to operationalize AI for front office customer insights, though specific module names and integration points were not disclosed in the public announcement.
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USAA (United Services Automobile Association) | Insurance | 38000 | $48.6B | United States | CognitiveScale | CognitiveScale Platform | ML and Data Science Platforms | 2017 | n/a |
In 2017, USAA invested in CognitiveScale and began deploying the CognitiveScale Platform to support member-facing digital assistant and predictive service use cases. The deployment targeted financial services digital banking workflows in the United States, with live rollouts beginning the same year per public reporting.
The USAA CognitiveScale Platform deployment sits squarely in the ML and Data Science Platforms category and was aligned to financial services and digital banking business functions. Implementation emphasized capabilities for predictive analytics and contextual personalization to enhance the digital assistant, leveraging model lifecycle management, feature engineering pipelines, model validation, and real-time inference typical of ML and Data Science Platforms.
Operational execution connected the CognitiveScale Platform to member-facing digital channels and backend banking data sources to surface predictive signals within conversational and decisioning flows. The rollout focused on member experience and service automation use cases, engaging digital channels, customer service operations, and product teams responsible for digital banking experiences.
Governance and rollout followed a staged approach with model validation and monitoring, version control for models and features, and operational procedures for continuous training and inference orchestration. The stated objective was to deliver predictive, data-driven services and enhance USAA’s digital assistant for members in the United States, using the CognitiveScale Platform to embed machine learning capabilities into production channel touchpoints.
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