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Aerospace Security

IFS launches Nexus Black

IFS has launched Nexus Black, a strategic innovation programme to expedite high-impact AI adoption for industrial organisations.

Image courtesy IFS

Nexus Black provides an alternative to legacy software vendors by delivering bespoke solutions at pace with industrial scalability and security.

Nexus Black combines advanced AI technologies, deep industrial context and a dedicated delivery team, partnering with customers to tackle bespoke, complex challenges in asset-intensive industries. Built on the foundation of IFS.ai, Nexus Black enables rapid development and deployment of AI capabilities to turn ideas into tangible outcomes in a matter of weeks.

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Nexus Black turns intelligence into applied impact via the deep IFS industry footprint and its proximity to rich industrial asset data, combining context and AI resulting in trusted contextual AI into live operations, quickly and securely.

“Too many businesses are stuck choosing between inflexible enterprise tools or niche AI vendors with no roadmap to scale. Nexus Black changes that,” said  Mark Moffat, CEO of IFS. “Nexus Black is IFS’s commitment to rapid, high-impact AI innovation for leading industrial organisations. It combines the agility of a start-up with the industrial context, security, and delivery strength IFS is known for. It’s how we help our customers leap ahead – not just catch up.”

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“AI capabilities like co-pilots and embedded agents are no longer a differentiator, they’re expected,” said Matt Kempson, SVP, Commercial at IFS. “What sets IFS apart is how we apply AI – rapidly, with deep industrial context, and in direct collaboration with our customers. Nexus Black gives us a razor-sharp edge, engaging deeply with complex industrial challenges, rapidly building proof points, and translating innovation into scalable impact across our AI portfolio.”

Through a co-investment model, customers gain a fast-mover advantage in industries such as aerospace and influence solutions that enhance their agility. Initial use cases include predictive maintenance, manufacturing scheduling optimisation, AI copilots for service and sales, as well as intelligent automation for finance and supply chain.

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