London, WC1A 2TH,
United Kingdom
Curve Technographics
Curve Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Curve and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 100 Curve employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Curve has purchased the following applications: Sift Science Digital Trust Platform for ML and Data Science Platforms in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2018, Amazon EC2 for Application Hosting and Computing Services in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Curve is running and its propensity to invest more and deepen its relationship with Sift Science , Google , Amazon Web Services (AWS) 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 Curve revenues, which have grown to $25.0 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 Curve 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.
Curve Tech Stack and Enterprise Applications
Curve AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Sift Science | Legacy | Sift Science Digital Trust Platform | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
In 2017, Curve implemented Sift Science Digital Trust Platform to strengthen fraud prevention across its card issuance and payments flows, using the solution as a core element of its ML and Data Science Platforms stack. Curve implemented Sift Science Digital Trust Platform to enable real time transactional scoring and automated decisioning within the onboarding and payment authorization paths for its combined card and app experience.
The implementation centered on Sift Score API integration, with models trained on Curve transaction and account signals over weeks to establish reliable scoring. Curve used Sift’s behavioral and device signals to assess real time transactional data, feeding scores into automated workflows and the company’s existing investigation processes.
Curve adopted a layered architecture that paired Sift scoring with an in house rules engine, using the rules engine to enforce clear business blacklists and Sift to surface subtler risk patterns. Integration points included new card onboarding flows and chargeback review queues, and the Sift platform provided a single surface for automation, review, and investigation workflows.
Governance and operational ownership were assigned to Product Operations and fraud review teams, led by the Product Operations Manager, with Sift scores used to automate triage and reduce manual review volume. Curve instrumented blocked account and connected user signals from Sift to accelerate linked account investigations and to inform manual escalation when required.
Results reported by Curve included maintaining fraud operations with only one additional full time fraud resource and a reduction in chargeback rate to one sixth of prior levels. The Sift Science Digital Trust Platform implementation delivered streamlined fraud workflows, more focused investigations, and earlier identification of high risk users.
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Curve Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2018 | 2018 |
In 2018, Curve implemented Google Workspace (Formerly Google G-Suite) as its Collaboration platform. The deployment is visible in the company web footprint, indicating corporate adoption of Google Workspace for core productivity and communication services.
The implementation encompassed standard Collaboration modules such as Gmail for corporate email, Google Drive for file storage, Google Docs and Sheets for real time document collaboration, Google Calendar for scheduling, and Google Meet for virtual meetings. Google Workspace was configured to provide shared team drives and collaborative document workflows consistent with Collaboration category practices.
Operational coverage extended across company-wide productivity and communications functions, supporting engineering, product, and customer-facing teams in day to day collaboration. Administrative controls were applied through Google Workspace administration for user provisioning, domain management, and group-based access control to manage permissions and data sharing.
Curve uses Google Workspace (Formerly Google G-Suite) in the Collaboration category to support corporate communication and productivity business functions, with the application name and category clearly reflected in public site references to the platform.
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Curve IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2018 | 2018 |
In 2018, Curve deployed Amazon EC2 to host its public website and application workloads. Amazon EC2 is used for Application Hosting and Computing Services to provision elastic compute capacity supporting web traffic and application processes.
Deployment centered on provisioned compute instances configured with image based provisioning, instance sizing and lifecycle automation to support production and staging environments. The implementation leveraged cloud orchestration patterns for horizontal scaling and external load distribution, and included monitoring agents for operational telemetry. Configuration management and infrastructure as code practices were used to standardize instance images and repeatable deployments.
Operational coverage included the engineering, DevOps, and web operations functions responsible for instance provisioning, patching and capacity planning. Compute resources were integrated with cloud virtual networking, firewall controls and identity and access management to enforce segmentation and role based access in the hosting environment. Runbooks and change controls were established to manage rollout and ongoing operational procedures for the website.
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Curve CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Curve
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| CTO | CXO | Finance | ||||
| Head Of Business Development | Director | Finance |
Apps Being Evaluated by Curve Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||