Manchester, M1 1JA,
United Kingdom
Regit Technographics
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 EC2 for Application Hosting and Computing Services in 2020, 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.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2020 | 2020 | ||
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| 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. |
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2017 | 2017 |
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Customer Data Platform | CRM |
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2017 | 2017 |
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Customer Experience | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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IT Service Management | ITSM |
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2021 | 2021 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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ML and Data Science Platforms | AI Development |
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2016 | 2017 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||