Antony, 92160,
France
Air Liquide Medical Systems Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Air Liquide Medical Systems and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 410 Air Liquide Medical Systems employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Air Liquide Medical Systems has purchased the following applications: Inetum GenAI for Generative AI Platforms in 2024, Google Tag Manager for Tag Management in 2024, JavaScript for Apps Development in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Air Liquide Medical Systems is running and its propensity to invest more and deepen its relationship with Inetum , Google , Oracle 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 Air Liquide Medical Systems revenues, which have grown to $130.0 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 Air Liquide Medical Systems 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.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Inetum | Legacy | Inetum GenAI | Generative AI Platforms | AI Development | n/a | 2024 | 2024 |
In 2024, Air Liquide Medical Systems implemented Inetum GenAI, a Generative AI Platforms application developed by Inetum and built on Azure OpenAI to accelerate responses to commercial invitations to tender. The deployment targets tender workflows for fans, supplies and maintenance within Air Liquide Medical Systems, a subsidiary of Air Liquide Healthcare Medtech, and is positioned to support commercial teams and employees who prepare bid responses for end customers such as hospitals.
Inetum GenAI was configured with three primary functional modules, document requirement extraction, knowledge search, and answer generation. The solution performs automatic extraction of all requirements from invitations to tender linked to fans, supplies or maintenance, searches an internal knowledge base developed by Air Liquide for relevant sources, and proposes drafted answers for employees to review and adapt, enabling a sourced response base for bid authors.
Architecturally the solution is cloud oriented, leveraging Azure OpenAI as the generative model backbone, with integration into Air Liquide’s internally developed knowledge repository to surface cited source material during generation. Inetum is responsible for developing and operating the generative AI technologies, and the implementation connects tender intake and content processing to the knowledge search and response drafting modules used by commercial staff.
Governance and operational impacts were defined around bid response efficiency and quality of outputs, the implementation is intended to reduce response times from the usual dozens of days to an almost instantaneous sourced response baseline, simplify procedures and free staff from time consuming tasks in favor of higher value assignments. Inetum’s role covers development and exploitation of the Generative AI Platforms capability for Air Liquide Medical Systems, with the system used to standardize tender handling workflows and centralize sourced answers for employee use.
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | n/a | 2024 | 2024 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | JavaScript | Apps Development | PaaS | n/a | 2024 | 2024 |
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