AI Platform

AI Platform, integrated into the digital foundation of all companies on Intility

AI is on its way to becoming a core component in businesses’ digital organizations. Many are establishing their own “AI factories” as bolt-on projects – detached from existing systems, security models, and work processes. These must later go through costly and complex integration processes to provide real value.

At Intility, the approach is different. We build AI platforms as an integrated part of each individual customer’s digital foundation. This provides click-based access to everything from GPU resources to sovereign GPT and backend language models, with operations, security, networking, identity, and access management taken care of from day one.

Why Intility AI

AI as an integrated part of the company’s own IT platform, not alongside it

By design

Where many AI initiatives start as separate projects on the side of the business, with Intility you get an AI platform that is already connected to data, identity, network, systems, and users. This means you avoid the heavy and costly efforts that otherwise arise when proof-of-concepts need to be turned into real operational solutions.

Built-in data security

All AI processing occurs within the same security model that protects the rest of the IT environment. This provides full control over where your data is, and avoids the vulnerabilities of having to build additional security layers afterwards. The platform is also continuously monitored by Intility’s 24/7 Security Operations Center.

Scalability
GPU infrastructure and model hosting require large investments. At Intility, resources are shared industrially across many companies, but with customer-specific isolation of data and use cases.

Seamless integration

AI only delivers value when it is connected to the company’s own work processes and data sources. With MCP (Model Context Protocol), AI agents can be connected to applications and systems in a standardized and secure way – always within the platform’s security model.
Identity and access management
AI agents operate with the user’s own privileges, enforced through Intility’s identity and access model. MCP functions as a proxy, ensuring that this access management is carried forward into AI integrations.
Continuous development

New AI features and integrations are developed once and then rolled out to the entire platform. This means all customers continuously gain access to improvements and new functionality – without having to start new projects or build individual integrations for each company.

Knowledge base

What is MCP?

Model Context Protocol (MCP) is an open standard for connecting AI applications to external systems to read data or perform actions. Through MCP, user context is maintained, so that one can only retrieve data they have access to and perform actions they are authorized to do.

Reach out for more information about Intility AI Platform

Ulrik Wilhelm Koren