List of Peak AI System Customers
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Since 2010, our global team of researchers has been studying Peak AI System 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 Peak AI System for Cognitive Computing 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 Peak AI System for Cognitive Computing include: GSK, a United Kingdom based Life Sciences organisation with 69310 employees and revenues of $42.21 billion, Speedy Hire, a United Kingdom based Professional Services organisation with 3554 employees and revenues of $523.0 million, Footasylum, a United Kingdom based Retail organisation with 2570 employees and revenues of $471.0 million, Sorted Group, a United Kingdom based Professional Services organisation with 100 employees and revenues of $15.0 million, Regit, a United Kingdom based Automotive organisation with 12 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Peak AI System, 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 Artificial Intelligence software purchases.
The Peak AI System 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 Artificial Intelligence 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 | Insight Source |
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Footasylum | Retail | 2570 | $471M | United Kingdom | Peak | Peak AI System | Cognitive Computing | 2018 | n/a | In 2018, Footasylum implemented Peak AI System as a Cognitive Computing platform to embed machine learning into its ecommerce and marketing operations. The deployment positioned the Peak AI System to provide continuous decisioning and personalization across customer touchpoints and campaign channels. Configuration focused on customer segmentation and product recommendation modules, deploying propensity and next best action models to generate individualized email content and onsite merchandising decisions. Automation included batch and real time scoring pipelines to refresh segments and personalization rules ahead of campaign sends and merchandising updates. The Peak AI System integrated with Footasylum's ecommerce platform and email marketing channels to operationalize model outputs into campaign orchestration and onsite experience, while behavioral event data was consolidated for ongoing model training. Operational coverage included marketing and ecommerce teams, with analytics and merchandising stakeholders using scored outputs to inform content sequencing and promotional targeting. Governance established iterative model evaluation and campaign A B testing under a centralized analytics function to manage model updates and rollout cadence. Footasylum recorded a 28 percent increase in email revenue from hyperpersonalised marketing communications after deploying Peak AI System. | |
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GSK | Life Sciences | 69310 | $42.2B | United Kingdom | Peak | Peak AI System | Cognitive Computing | 2018 | n/a | In 2018, GSK implemented the Peak AI System as a Cognitive Computing solution to drive a bespoke natural language processing classification model for labeling a controlled set of sentences. The Peak AI System was configured to assign up to two or three labels per comment when ambiguity is high, enabling multi-label classification rather than single-tag outputs. The implementation includes batch reprocessing of historical responses and ongoing inference on future inputs to standardise labels across data, ensuring consistent metadata for downstream analytics. This scope concentrated on text classification workflows to reduce subjective variation in manual labeling and to generate harmonised annotations for review and reporting. Deployment centered on the Peak AI System's NLP classification capability and supporting data pipelines, combining model inference and bulk reclassification to harmonise historic and incoming free text. Functional modules implemented include the classification engine, label management and automated re-labelling of historic corpora to enforce a consistent taxonomy. Governance and workflow changes emphasized standardized labeling rules and operational controls to remove subjectiveness, aligning annotation workflows and metadata governance across affected teams. Reported outcomes included increased value and accuracy of comment-level labeling and a standardized label set maintained by the Peak AI System. | |
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Regit | Automotive | 12 | $2M | United Kingdom | Peak | Peak AI System | Cognitive Computing | 2018 | n/a | In 2018, Regit implemented Peak AI System as a Cognitive Computing initiative to generate probabilistic predictions of which users were likely to change vehicle. The deployment consolidated Regit's first party user records with website analytics, marketing system data, and DVLA data into a single modeling dataset to support propensity scoring. Peak AI System was configured to ingest heterogeneous data and apply Categorical Machine Learning models capable of handling categorical and continuous variables simultaneously. The implementation included feature engineering pipelines, model training and automated scoring workflows within Peak's AIS, producing per-user likelihood scores that quantify purchase propensity. Explicit integrations in the implementation connected Regit's website, its marketing systems, and the Driver and Vehicle Licensing Agency DVLA dataset, enabling enrichment of behavioral signals with authoritative vehicle data. Operational coverage focused on marketing and sales functions, where scored predictions were used to prioritize outreach and identify users with higher likelihoods of changing car and generating a sale for Regit. Governance and workflow changes centered on model-driven decisioning, with prediction outputs feeding campaign targeting and lead management processes and routines to refresh models as new DVLA and site data arrived. The Peak AI System provided an operational scoring layer that aligned segmentation and sales prioritization to probabilistic predictions of customer churn to a new vehicle, supporting Regit's sales outcomes. | |
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Professional Services | 100 | $15M | United Kingdom | Peak | Peak AI System | Cognitive Computing | 2018 | n/a |
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Professional Services | 3554 | $523M | United Kingdom | Peak | Peak AI System | Cognitive Computing | 2018 | n/a |
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