London, SW7 2AZ,
United Kingdom
Imperial College London Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Imperial College London and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 8000 Imperial College London employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Imperial College London has purchased the following applications: Tungsten AP Invoice Automation for AP Automation in 2006, OpenClinica for Clinical Trial Management in 2022, Microsoft Azure Batch for Cognitive Computing 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 Imperial College London is running and its propensity to invest more and deepen its relationship with Tungsten Automation , Oracle , SAP 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 Imperial College London revenues, which have grown to $1.53 billion 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 Imperial College London 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Tungsten Automation | Legacy | Tungsten AP Invoice Automation | AP Automation | ERP Financial Management | n/a | 2006 | 2006 |
In 2006, Imperial College London began working with Tungsten Automation to deploy Tungsten AP Invoice Automation within its accounts payable organization, initiating an enterprise AP Automation program. The deployment positioned Tungsten AP Invoice Automation as the college wide tool for electronic invoicing and supplier connectivity, establishing a multi year partnership with the vendor.
The implementation focuses on core AP Automation capabilities that support invoice capture and e invoicing, supplier onboarding workflows, automated validation and exception routing, and electronic routing into finance workflows. Configuration emphasized supplier enablement and automated processing rules to reduce manual paper handling and accelerate electronic invoice acceptance across campus finance functions.
Operational coverage targets Imperial College London accounts payable and its supplier network, with program governance oriented around supplier education and onboarding rather than system replacement. The College has forged a successful fifteen year partnership with the fintech provider, and rollout activity concentrated on converting remaining paper suppliers to electronic submission.
Governance and change efforts included structured supplier outreach and internal communications to address adoption barriers, with Accounts Payable leadership driving the initiative. The program set an explicit goal of reaching 100% e invoicing, and Accounts Payable Manager Doru Procopiu remarked, "In our mind there are no negatives, it’s just about breaking down the fear and informing suppliers of the benefits. In five years’ time most organisations will be sending invoices electronically, there is no doubt about it."
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ERP Financial | ERP Financial Management |
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2010 | 2011 |
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ERP Financial | ERP Financial Management |
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2015 | 2016 |
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Expense Management | ERP Financial Management |
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2011 | 2011 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| OpenClinica | Legacy | OpenClinica | Clinical Trial Management | ERP Services and Operations | n/a | 2022 | 2023 |
In 2022, Imperial College London implemented OpenClinica for Clinical Trial Management, onboarding 14 active clinical trials onto the OpenClinica platform including core EDC, Participate ePRO, Insight reporting, and Randomize. The deployment targeted the college's clinical trials unit in the United Kingdom and was scoped to mid study trial operations to reduce user burden, streamline processes, and lower costs across study teams.
Configuration work concentrated on core EDC form and data mapping, provisioning of ePRO instruments via Participate ePRO, reporting layer setup with Insight reporting, and orchestration of randomization workflows in Randomize. The implementation emphasized data continuity for active studies, operational workflows for site staff and study coordinators, and centralized trial data capture consistent with Clinical Trial Management functional practices.
The migration program began in 2022 and completed within about 16 months with minimal disruption, with rollout managed as phased onboarding of active studies to minimize impact on ongoing operations. Explicitly stated outcomes included improved reporting and enhanced ePRO collection for participating studies, alongside reduced user burden and streamlined processes across the clinical trials unit.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Batch | Cognitive Computing | AI-Powered Application | n/a | 2017 | 2017 |
In 2017 Imperial College London adopted Microsoft Azure Batch to accelerate genomics and high performance computing workloads, explicitly positioning the deployment within a Cognitive Computing context. Microsoft technical documentation cites the Imperial genomics example and identifies Microsoft Azure Batch as an HPC as a service option that sped up genomics research in the United Kingdom.
Microsoft Azure Batch was configured to support batch job orchestration and parallel task execution, using managed compute pools and job scheduling to run large scale genomics pipelines. Typical functional capabilities implemented included automated provisioning of compute resources, autoscaling based on queue depth, and support for containerized or virtual machine task execution to handle distributed compute and data staging workflows.
The implementation integrated Azure Batch with cloud compute and storage services and researcher workflow tooling to enable end to end genomics processing, with operational coverage centered on Imperial research groups and HPC users. The technical narrative in Microsoft documentation links this usage to broader HPC and genomics scenarios, documenting how Microsoft Azure Batch can be applied to accelerate domain specific research workloads.
Governance shifted toward orchestrated job submission and automated resource lifecycle management, enabling researchers to request burst compute capacity without manual host provisioning. The documented outcome for the Imperial case was faster genomics research throughput in the UK, reflecting the application of Microsoft Azure Batch for compute intensive research workflows.
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Image Recognition | AI-Powered Application |
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2022 | 2022 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Analytics and BI | Analytics and BI |
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2013 | 2013 |
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Analytics and BI | Analytics and BI |
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2011 | 2011 |
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Data Warehouse | Analytics and BI |
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2015 | 2016 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Survey and Questionnaire | Collaboration |
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2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Enterprise Content Management | Content Management |
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2015 | 2015 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CRM | CRM |
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2020 | 2020 |
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Customer Engagement | CRM |
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2022 | 2022 |
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Customer Experience | CRM |
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2017 | 2017 |
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Customer Loyalty | CRM |
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2014 | 2014 |
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Digital Advertising Platform | CRM |
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2022 | 2022 |
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Marketing Analytics | CRM |
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2017 | 2017 |
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Marketing Analytics, Data Management Platform | CRM |
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2022 | 2022 |
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Sales Automation, Sales Engagement | CRM |
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2022 | 2022 |
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EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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EPM | EPM |
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2010 | 2011 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2021 | 2021 |
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IT Service Management | ITSM |
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2019 | 2019 |
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IT Service Management | ITSM |
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2022 | 2022 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Computational Fluid Dynamics (CFD) | PLM and Engineering |
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2018 | 2018 |
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Electronic Design | PLM and Engineering |
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2022 | 2022 |
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Process Simulation | PLM and Engineering |
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1998 | 2000 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Procurement | Procurement |
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2012 | 2012 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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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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