Taking TrueFoundry Global: Expanding Enterprise AI Infrastructure Across EMEA

Over the past few years, we have built TrueFoundry alongside some of the world's largest enterprises, including Fortune 100 and Fortune 500 companies across industries ranging from financial services, healthcare and life sciences to technology, media and telecommunications to industrial manufacturing. Working with these organisations has taught us what it takes to move AI beyond experimentation and operate it securely, reliably and at scale. 

As our global customer base grew, we began seeing increasing demand from enterprises across EMEA. Today, we work with organisations including Staffbase and Agregio in the region, and our experience  has reinforced something important: while the fundamental challenges of scaling AI are similar everywhere, the requirements for solving them can be quite different.

For a European pharmaceutical enterprise, protecting sensitive data meant isolating certain workloads entirely, even when that required giving up capabilities such as caching. For another global pharmaceutical organisation, the immediate priority was governing AI agents and their access to enterprise tools, with guardrails introduced gradually to avoid disrupting existing workflows. And for a pan-European financial services group, expanding across more than 20 markets meant giving country teams control over access, budgets and policies, while maintaining consistent governance centrally. 

These experiences have shown us that enterprise AI infrastructure needs to accommodate how organisations actually operate, across teams, markets and regulatory environments. They have also reinforced the importance of being closer to customers, understanding their requirements firsthand and supporting them as they scale. 

Today, we are announcing TrueFoundry's expansion across EMEA, building on our existing customer relationships and regional infrastructure, with London serving as our regional hub. 

Enterprise AI adoption is creating a new infrastructure challenge

Across industries and geographies, we are seeing the same challenge: companies can build AI applications faster than they can establish the infrastructure to operate them securely, reliably and at scale. 

As enterprises move beyond AI pilots, they are managing a growing ecosystem of large language models (LLMs), AI agents, tools and cloud providers. Each introduces new requirements around security, observability, access control, costs and accountability. 

For organisations operating internationally, the challenge is greater. AI workloads cross business units, cloud environments and regulatory boundaries. An application that works in one market may face entirely different data residency, privacy or security requirements in another. 

We believe enterprise AI governance will increasingly determine how quickly organisations can move AI from experimentation into production. 

That's the problem we have spent the last few years solving. 

We have built the foundation to scale 

Over the past year, TrueFoundry has grown revenue by approximately 600%, significantly expanded its customer base and tripled its team. 

Our enterprise AI Gateway combines an LLM Gateway, MCP Gateway and Agent Gateway, providing a unified control plane to connect, observe and govern models, tools and agents. 

Our acquisition of Seldon AI creates an opportunity for customers to bring traditional machine learning and agentic AI onto a single platform from real-time ML inference to deploying and managing AI agents while building on the Kubernetes infrastructure they have already invested in. 

What gives us confidence is the trust enterprises are placing in this infrastructure for increasingly business-critical applications.

“Deploying an AI Gateway in a globally distributed enterprise is a complex undertaking, spanning LLMs, agents, MCP servers and existing enterprise systems. We have made good progress establishing the foundation with TrueFoundry, and their engineering, support and leadership teams have been responsive in helping us navigate challenges along the way.”

- Charles Iheagwara, Global Head, AI Delivery, AstraZeneca

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Why data sovereignty is shaping our international expansion 

Our work with enterprises across EMEA has reinforced an important shift: data sovereignty is becoming a core infrastructure requirement, not simply a compliance consideration 

Organisations need to know where AI traffic is processed, which models can access sensitive information and how security policies are enforced. For enterprises navigating GDPR, the EU AI Act and local regulatory requirements, these questions increasingly influence whether AI applications can move into production. 

They also want freedom of technology choice. As AI models evolve, companies need the flexibility to adopt new capabilities without becoming dependent on a single provider 

TrueFoundry's vendor-agnostic architecture supports regional AI Gateway deployments, centralized AI governance and multi-model routing across AWS, Microsoft Azure, Google Cloud and customer-managed infrastructure.

We already have AI Gateway instances deployed across multiple international regions, including the likes of UK, Spain, Sweden, Qatar and South Africa. These regional deployments enable customers to route AI traffic through infrastructure closer to their operations, while managing security policies, model access, routing and costs through a unified control plane. Customers can also deploy the platform within their own cloud, hybrid or on-premises environments, depending on their security and data residency requirements. 

Our bet is that enterprises will want access to global AI innovation, with local control over how it is deployed. 

This is why we are investing in regional expertise and partnerships alongside our technology

Where we are investing next 

Our expansion across EMEA builds on the demand we have already seen and the relationships we have developed with customers in the region. 

London will serve as our EMEA hub, supporting our broader international expansion. Over the next twelve months, we plan to quadruple our European team, strengthen our commercial and technical capabilities, and expand our ecosystem of hyperscaler partners, regional resellers and system integrators. 

We know that enterprise AI deployments require close collaboration across engineering, security, infrastructure and business teams. Having people on the ground will allow us to work more closely with customers, understand local requirements and support them through the complexities of moving AI into production. 

Our focus is on helping enterprises move AI into production with the infrastructure, governance and local support they need to operate confidently at scale. 

Our ambition 

We expect enterprise AI to become more distributed, with organisations operating across multiple models, agents, cloud providers and geographies. 

As that complexity grows, enterprises will need consistent security, governance and operational control across their AI infrastructure. 

Our ambition is to make TrueFoundry the trusted control plane for enterprise AI, wherever our customers operate. 

We have spent the last few years building and proving this infrastructure alongside our customers. We are now investing to bring it closer to enterprises around the world. 

We are excited about what comes next.

Nikunj, Anuraag & Abhishek 

Co-founders, TrueFoundry 

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