List of AiBoost Customers
Bristol, BS1 2NT,
United Kingdom
Since 2010, our global team of researchers has been studying AiBoost customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased AiBoost for AI infrastructure from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using AiBoost for AI infrastructure include: Ministry of Defence UK, a United Kingdom based Government organisation with 192409 employees and revenues of $75.26 billion, Airbus, a France based Aerospace and Defense organisation with 56000 employees and revenues of $33.95 billion, BAE Systems, a United Kingdom based Aerospace and Defense organisation with 111400 employees and revenues of $26.31 billion and many others.
Contact us if you need a completed and verified list of companies using AiBoost, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The AiBoost customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Airbus | Aerospace and Defense | 56000 | $34.0B | France | Intellium AI | AiBoost | AI infrastructure | 2023 | n/a |
In 2023 Airbus deployed Intellium AI's AiBoost in the United Kingdom to accelerate deployment of AI from engineering teams to the shop-floor, with the vendor stating AiBoost takes AI solutions from the top-floor to the shop-floor and reduces lead times. Apps Category:
The implementation focused on AiBoost MLOps and governance and explainability capabilities to manage model lifecycle and traceability, aligning with the vendor testimonial. Configuration work emphasized model packaging and versioning, automated deployment pipelines, runtime monitoring, and artifact traceability to operationalize models developed by engineering teams for production use on the shop-floor.
Operational coverage targeted engineering and manufacturing functions at Airbus sites in the United Kingdom, concentrating on handoff processes and integration points between engineering model outputs and shop-floor execution. Governance controls were structured around model lineage, explainability records, and audit trails to ensure traceability during staged rollouts, and the vendor-reported outcome included reduced lead times.
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BAE Systems | Aerospace and Defense | 111400 | $26.3B | United Kingdom | Intellium AI | AiBoost | AI infrastructure | 2023 | n/a |
In 2023, BAE Systems deployed AiBoost from Intellium AI to support defence engineering and mission-critical workflows in the United Kingdom. Intellium AI lists BAE Systems as a reference and a capability manager quote states AiBoost reduces the lead time and resources required for AI solution development, indicating use of MLOps, governance and explainable-AI capabilities in the Apps Category.
The implementation focused on AiBoost platform capabilities, including MLOps pipelines, model governance and explainability modules. Configuration work inferred from the reference concentrates on model lifecycle management, model versioning and automated model validation, aligned with secure, auditable AI delivery consistent with the stated reduction in development lead time.
Operational coverage cited in the reference centers on defence engineering and other mission-critical workflows in the United Kingdom, implying deployment patterns that support classified or regulated environments. The narrative indicates the platform was applied to engineering and mission operations teams, providing an auditable trail for model approval and deployment in production decisioning contexts.
Governance and process changes emphasized by the reference include formalized audit logging, explainable-AI reporting and MLOps orchestration to standardize model promotion and control. AiBoost was therefore instrumented to provide governance controls and explainability features that support secure, auditable AI delivery for BAE Systems in 2023.
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Ministry of Defence UK | Government | 192409 | $75.3B | United Kingdom | Intellium AI | AiBoost | AI infrastructure | 2023 | n/a |
In 2023, Ministry of Defence UK deployed AiBoost, placing the vendor product AiBoost into classified defence operations and program contexts that the vendor cites as proven in UK MoD programmes, Apps Category . The deployment is described as air gap capable and tailored for secure no-code MLOps, aligning the Ministry, AiBoost and Apps Category with mission-critical AI governance needs.
Implementation focused on secure no-code MLOps capabilities within AiBoost, including model lifecycle orchestration, policy driven model governance, and traceability for audit and assurance. The configuration emphasized air gap deployment modes and hardened runtime controls for classified environments, with automated model packaging and controlled model promotion workflows to support rapid yet governed model iteration.
Operational coverage centered on defence and operations contexts inside UK MoD programmes, with AiBoost running in isolated network environments to meet classified data handling requirements. Integrations were implemented in a constrained sense, enabling controlled data ingress and egress patterns compatible with air gap operations and supporting downstream mission decision workflows without exposing classified surfaces.
Governance and process changes embedded with AiBoost prioritized model provenance, end to end traceability, and auditable governance workflows to support operational decision cycles. Vendor cited outcomes for AiBoost include improved secure model governance, enhanced traceability, and faster decision cycles for mission critical AI, reflecting the Ministry level emphasis on assurance and operational readiness.
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