AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Imperial College London Tech Stack and Enterprise Applications

Imperial College London ERP
Vendor
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Category
Market
VAR/SI
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Insight
Tungsten Automation Legacy Tungsten AP Invoice Automation AP Automation ERP 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."
ERP Financial ERP 2010 2011
ERP Financial ERP 2015 2016
Expense Management ERP 2011 2011
Imperial College London ERP Services and Operations
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VAR/SI
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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.
Imperial College London AI-Powered Application
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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.
Image Recognition AI-Powered Application 2022 2022
Imperial College London Analytics and BI
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VAR/SI
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Insight
Analytics and BI Analytics and BI 2013 2013
Analytics and BI Analytics and BI 2011 2011
Data Warehouse Analytics and BI 2015 2016
Imperial College London Collaboration
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VAR/SI
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Insight
Survey and Questionnaire Collaboration 2018 2018
Imperial College London Content Management
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VAR/SI
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Insight
Enterprise Content Management Content Management 2015 2015
Imperial College London CRM
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Application
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VAR/SI
When
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Insight
CRM CRM 2020 2020
Customer Engagement CRM 2022 2022
Customer Experience CRM 2017 2017
Customer Loyalty CRM 2014 2014
Digital Advertising Platform CRM 2022 2022
Marketing Analytics CRM 2017 2017
Marketing Analytics, Data Management Platform CRM 2022 2022
Sales Automation, Sales Engagement CRM 2022 2022
Imperial College London EPM
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VAR/SI
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Insight
EPM EPM 2010 2011
Imperial College London ITSM
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VAR/SI
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Insight
IT Service Management ITSM 2021 2021
IT Service Management ITSM 2019 2019
IT Service Management ITSM 2022 2022
Imperial College London PLM and Engineering
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Previous System
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Category
Market
VAR/SI
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Insight
Computational Fluid Dynamics (CFD) PLM and Engineering 2018 2018
Electronic Design PLM and Engineering 2022 2022
Process Simulation PLM and Engineering 1998 2000
Imperial College London Procurement
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VAR/SI
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Procurement Procurement 2012 2012
Imperial College London TRM
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VAR/SI
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Insight
Governance, Risk and Compliance TRM 2021 2021
Governance, Risk and Compliance TRM 2021 2021
Imperial College London CyberSecurity
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Application
Category
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VAR/SI
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Insight
Secure Email Gateways (SEGs) CyberSecurity 2020 2020

IT Decision Makers and Key Stakeholders at Imperial College London

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Imperial College London Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Imperial College London IT executives and key decision makers. This section highlights Imperial College London's latest recorded technology evaluations, including eBix eGlobal for Insurance ERP on 2026-03-25, Blackbaud CRM for CRM, Donor and Fundraising Management on 2026-02-24, and ANSYS Maxwell for Electromagnetic Field Simulation on 2026-02-17. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Imperial College London digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
2026-03-25 Imperial College London Evaluated Ebix eBix eGlobal Insurance ERP ERP Services and Operations
2026-02-24 Imperial College London Evaluated Blackbaud Blackbaud CRM CRM, Donor and Fundraising Management CRM
2026-02-17 Imperial College London Evaluated Ansys Inc. ANSYS Maxwell Electromagnetic Field Simulation PLM and Engineering
2026-01-26 Imperial College London Evaluated Project Portfolio Management PPM
2026-01-18 Imperial College London Evaluated Product Lifecycle Management PLM and Engineering
2025-10-07 Imperial College London Evaluated Analytics and BI Analytics and BI
2025-08-12 Imperial College London Evaluated Call Center CRM
2025-08-04 Imperial College London Evaluated Loan Management ERP Services and Operations
2025-05-15 Imperial College London Evaluated Learning and Development HCM
2025-02-14 Imperial College London Evaluated CRM CRM
FAQ - APPS RUN THE WORLD Imperial College London Technographics
Imperial College London is a Education organization based in United Kingdom, with around 8000 employees and annual revenues of $1.53 billion.
Imperial College London operates a diverse technology stack with applications such as Tungsten AP Invoice Automation, OpenClinica and Microsoft Azure Batch, covering areas like AP Automation, Clinical Trial Management and Cognitive Computing.
Imperial College London has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Tungsten Automation, OpenClinica and Microsoft.
Imperial College London recently adopted applications including OpenClinica in 2022, Humans in the Loop Annotation Platform in 2022 and Microsoft Dynamics 365 Customer Engagement in 2022, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Imperial College London’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Imperial College London’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 Imperial College London technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.