AI isn't a bolt-on to your existing organization.

Nobody really knows what the future holds, but we know you'll need curiosity, ambition, and the right capabilities to get there. We work on three fronts:

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Training

Agentic training for developers, knowledge workers and leaders: lay the groundwork for an AI-native future.

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Advisory

Hands-on strategy and practitioner-led expertise, delivered agentically by experts who have led transformations themselves.

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Platform

Agentic ways of working, context management and AI security; from individual to organizational scale. Available to design partners.

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I. Why us

Practitioners, not pundits.

ArcticRex was born out of our experience leading AI transformation in Finland's largest cybersecurity company. Large-scale change is more of an art than a science: AI presents a bigger and more complex change but also brings new capabilities to support that change at scale.

Running an AI transformation through a 350-person organization underlined the need for both human and technology approaches. We needed to bring the teams with us — we needed people who trusted the transformation, who were engaged, who were actively exploring the technology frontier. And we needed the technology means — the platform capabilities — to support and drive changes at scale, securely.

II. Thesis

Change is coming for the whole company.

Agentic AI will turn every organization upside-down. The entire world is learning by doing — there's no playbook for this. Software engineering teams have already been facing up to the challenge — processes and roles are being redesigned in real time — but now the same shift is coming to the rest of the organization.

Agentic ways of working mean learning how to delegate to AI and build an operating system for AI-native processes. Context management becomes central to your strategy because without context you are only transforming people, not organizations. And AI security addresses new risks that today's cybersecurity approaches are barely equipped to recognize.

It's a rare organization that has the capacity to absorb this much change, this quickly. Buying a few AI tools doesn't get you there; running a few AI pilot projects doesn't change the organization.

III. Foundations

AI-native foundations.

i. Agentic ways of working

Teams that have access to agents can redesign their own jobs, and the shape of everybody's role begins to change. We're starting to see what that means for a developer, for a designer: but what will it mean for a sales lead, a business controller, an HR professional — what does it mean for knowledge work across the company?

ii. Context management

When agents start to work autonomously, they don't have the tacit knowledge of your employees. It was always a problem keeping teams in sync before AI — now it's even harder. Managing context is what makes agents work effectively; without it, you've just provided tools for your employees to spin their wheels even faster.

iii. AI security

Agents do what they're told: so every email, webpage, slack message that an agent reads is a potential attack vector. How do you build a trustworthy architecture of agentic activity on top of constantly updating, untrustworthy information? How do you build accountability into a system where humans aren't in the loop?

IV. Founders

Toby White

Co-founder & CEO

Strategic direction and people-centric leadership. Executive management across multiple stock-listed companies in the UK and Finland, including as CTO at F-Secure, where he led a 350-person engineering organization through multiple transformations.

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Dino Repo

Co-founder & CTO

Cloud architect turned platform strategy leader; ran on-the-ground AI strategy at F-Secure. Has a builder's instinct for what breaks when an organization actually runs on agents and a clear view of what it takes to hold it together at scale.

LinkedIn →

Ready to start?

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