Regit
Sevendale House, 7 Dale St,
Manchester, M1 1JA,
United Kingdom
Manchester, M1 1JA,
United Kingdom
44 844 576 7444
Automotive
Regit Technographics
Regit Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Regit and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 12 Regit employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Regit has purchased the following applications: Amazon SageMaker for ML and Data Science Platforms in 2016, Peak AI System for Cognitive Computing in 2018, Google Workspace (Formerly Google G-Suite) for Collaboration in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Regit is running and its propensity to invest more and deepen its relationship with Amazon Web Services (AWS) , Peak , Google or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Regit revenues, which have grown to $2.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Regit intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Regit Tech Stack and Enterprise Applications
Regit AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon SageMaker | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Regit implemented Amazon SageMaker as its primary ML and Data Science Platforms solution to predict vehicle ownership churn and prioritize leads. The deployment focused on lead scoring and predictive modeling to identify which of Regit's 2.5 million users are likely to change cars and when, feeding those signals into call center and customer engagement workflows.
Peak Business Insight, an APN Advanced Consulting Partner, applied categorical machine learning models that handle both category and variable data simultaneously, using Amazon SageMaker for real-time ingestion, modeling, and data output. Amazon SageMaker handles approximately 5,000 API requests a day for Regit, providing scalable real-time inference and managing the delivery of lead scoring results to downstream systems.
The implementation integrates Amazon SageMaker with Amazon Redshift and Amazon EC2 instances to continuously optimize model performance and results, with Redshift serving analytic storage and EC2 supporting compute for training and batch processes. Operational coverage centers on call center lead delivery and customer engagement, where model outputs are consumed to prioritize outbound contact and personalize outreach.
Peak led deployment and operationalization, instrumenting model pipelines, real-time scoring endpoints, and ongoing model iteration workflows while aligning outputs with call center processes. The work with Peak and AWS services enabled Regit to predict user behavior at scale and increased call center revenues by more than a quarter.
|
Regit AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Peak | Legacy | Peak AI System | Cognitive Computing | AI-Powered Application | n/a | 2018 | 2018 |
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.
|
Regit Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2017 | 2017 |
In 2017 Regit implemented Google Workspace (Formerly Google G-Suite) as its Collaboration platform. The deployment was provisioned as a cloud SaaS tenant under the company domain, with Google Workspace (Formerly Google G-Suite) configured for core productivity and communication services including Gmail, Google Drive, Docs, Sheets and Calendar, and managed through the Google Admin console.
The implementation supports the company website and day to day operations, with workspace accounts used to manage corporate email, coordinate content updates and centralize document storage for small team collaboration. Administration and governance are handled through Google Workspace access controls, group-based sharing settings and domain-level user provisioning, aligning Collaboration capabilities to Regit business functions such as communications, marketing and operations.
|
Regit CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Data Platform | CRM |
|
2017 | 2017 |
|
|
|
|
|
Customer Experience | CRM |
|
2017 | 2017 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2019 | 2019 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2019 | 2019 |
|
|
|
|
|
Digital Advertising Platform | CRM |
|
2019 | 2019 |
|
Regit ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
IT Service Management | ITSM |
|
2021 | 2021 |
|
Regit TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Governance, Risk and Compliance | TRM |
|
2018 | 2018 |
|
|
|
|
|
Governance, Risk and Compliance | TRM |
|
2018 | 2018 |
|
Regit IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2020 | 2020 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2019 | 2019 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2019 | 2019 |
|
IT Decision Makers and Key Stakeholders at Regit
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
|
|
Co-founder | CXO | Finance | |
|
|
|
Co Founder & Chief Revenue Officer | CXO | Finance | |
|
Apps Being Evaluated by Regit Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Regit IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Regit digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Regit Technographics
Regit is a Automotive organization based in United Kingdom,
with around 12 employees and annual revenues of $2.0 million.
Regit operates a diverse technology stack with applications such as
Amazon SageMaker, Peak AI System and Google Workspace (Formerly Google G-Suite),
covering areas like ML and Data Science Platforms, Cognitive Computing and Collaboration.
Regit has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Amazon Web Services (AWS), Peak and Google.
Regit recently adopted applications including
Atlassian Jira Service Desk in 2021, Amazon EC2 in 2020 and OpenX OpenAudience in 2019,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Regit’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Regit’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Regit technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.