Fastn
Future-Proofing AI Applications with the Unified Context Layer

Modern AI applications succeed not by the size of their models, but by the quality of their context and their ability to act. To be useful, AI agents must access fresh, trusted data from multiple systems, understand context across both internal and external tools, and execute secure actions inside real workflows.

Hard-coded integrations and legacy iPaaS solutions cannot meet these requirements. They are rigid, slow, and not built for AI-native use cases.

Fastn is redefining this space with its Unified Context Layer (UCL). UCL is the embedded, white-labeled MCP gateway for AI and SaaS applications. It ensures that agents have the right context and the ability to act safely and at scale.

“We are bringing a new AI-native and secure approach to giving agents the context and actions they need, through the Unified Context Layer” says Khalid Muaydh, founder.

Unlike traditional integration layers, UCL is designed specifically for AI-first products and builders who are looking to build the next generation of advanced agents. It enables applications to:

● Connect context from internal systems such as databases, knowledge bases, and CRMs, as well as external tools like SaaS apps, APIs, files, and messaging platforms

● Continuously embed and vectorize data so agents always have fresh and relevant knowledge

● Execute runtime actions through a governed gateway, allowing agents to complete workflows securely across third-party tools

● Deliver security, governance, compliance, and observability built in from day one

● Scale to multi-tenant enterprise environments without sacrificing speed or reliability

Supporting UCL is Fastn’s API unification and orchestration engine, which abstracts away differences across thousands of tools and systems. For AI engineers and product teams, this means building with one consistent interface instead of stitching together brittle integrations.

UCL is built to meet enterprise standards, with compliance, auditability, and fine-grained governance at its core. This makes it safe to deploy in sensitive environments where trust and explainability matter most.

We are bringing a new AI-native and secure approach to giving agents the context and actions they need, through the Unified Context Layer

One example is HP’s Workforce Experience Platform (WXP). By embedding Fastn, HP enabled its platform to integrate securely with the diverse tools its enterprise customers use. This gave WXP AI-powered device management that adapts to each customer’s environment.

“Fastn has enabled us to connect with our customers’ applications and infrastructure, drastically reducing our time-to-market,” says Gaurav Roy, vice president of engineering at HP. “We’ve eliminated development bottlenecks and significantly expanded the customer environments we address, connected disparate systems more efficiently, and significantly scaled the applications we can handle.”

The next generation of AI products will be defined by how well they orchestrate context and actions across internal and external ecosystems. Current MCPs and toolkits are good for proofs of concept and demos, but they are not ready for production at enterprise scale.

Fastn’s Unified Context Layer closes that gap. It provides the infrastructure that makes AI applications not just connected, but intelligent, governed, and production-ready.