Solutions / Achieve Sovereign Architecture
Sovereign Stack, Without the Server Room
Your AI features are landing on a cloud stack you don't control. Vendors are re-rating, token subsidies are ending, and the surfaces you ship on are not the ones you want to bet your data, your audit trail, or your compounding cost structure on. CTOs and VPs of Engineering come to us when the next wave of AI features needs a substrate they can actually own, audit, and operate without standing up a six-person platform team. We bring Paddington (the Sovereign Orchestration Stack), the migration work that gets you onto it, and the engineering discipline that keeps your team shipping at the same speed.
~$35 / mo
Production stack on Hetzner + Kilter, vs. ~$800 / mo on Vercel + Supabase
17 pods
Auth, workflows, events, tracing, storage, search, composed in minutes via Kilter
What sovereign architecture enables
Sovereignty is not a defense posture. It is what unlocks three things you cannot get from a rented stack: AI as organizational intelligence, control across the audit and governance surface, and a cost structure that compounds instead of taxing you.
Enable AI as organizational intelligence
AI that works as organizational intelligence requires controlling the data model, the workflows, and the orchestration. The model is the easy part; the substrate underneath it is what makes the feature durable. Bain's data shows roughly 80% of AI use cases meet expectations, and only 23% connect to revenue. The gap is upstream: you cannot get to the durable end of the AI curve on rented surfaces.
Control, audit, and governance from day one
Audit trails, data residency, network policies, RBAC, and observability are wired together as a platform, not bolted on at Series B. When the EU AI Act audit comes through, the regulator's questions are answered by the system you already operate, not by a compliance project running in parallel to delivery.
Optionality and a cost structure that compounds
Optionality: swap components, move fast, do not get cornered by a vendor's pricing decision. Cost structure: roughly $35 a month on Hetzner + Kilter for the kit that costs ~$800 a month on Vercel + Supabase. Both compound the right direction the longer you run them.
Why this is the substrate, not just the defense
Most sovereignty pitches are defensive. Data residency, vendor lock-in, regulatory cover. Those are real, but they are the smaller half of the argument. The larger half is upstream. Bain's data shows roughly 80% of AI use cases meet expectations and 23% connect to revenue. That gap is not a model problem. It is a substrate problem. AI that works as organizational intelligence requires control of the data model, the workflows, and the orchestration. You cannot get to the durable end of the AI curve on rented surfaces.
We have shipped on every major platform: Vercel, Sanity, Contentful, Next.js, Supabase. We are proud of that work, and we still recommend those platforms when the fit is right. We have also seen the seams. Token subsidies are ending, pricing is re-rating, and a handful of foundational vendors have shifted terms over the last eighteen months. Paddington is what we built for the next leg: the Sovereign Orchestration Stack. K8gentic, Kubernetes meets agentic infrastructure, composing a full production environment in minutes via Kilter, the CLI. One CLI, full platform, your cloud. CRM5 is the first system we migrated onto it. It is also where Britton's sovereignty governance campaign is generating its leads. The next clients land on it for the same reasons we did: optionality, audit, and a cost structure that compounds.
How we ship it
Three things separate sovereign architecture work that ships from sovereign architecture work that becomes a multi-year refactor. We organize the engagement around all three.
Compose, don't construct
Paddington composes a full production stack (Temporal workflows, Redpanda streaming, NATS messaging, OpenTelemetry observability, RBAC, network policies) in minutes via Kilter, the CLI. K8gentic: Kubernetes meets agentic infrastructure. One CLI, full platform, your cloud. You get the sovereignty without standing up a platform team to operate it.
Migrate without the rewrite
Slice the surfaces off your current stack one at a time. Your existing platform keeps running until each surface is ready to leave it. No big-bang cutover. No frozen roadmap for two years. We have run the slice-and-replace play through every major migration in our case-study library. A sovereign cutover is the same shape: incremental, observable, reversible.
Run it, don't just install it
Sovereign stacks fail when the install team leaves. We hand off the audit dashboards, the runbooks, the on-call rotation, and the Kilter recipes that compose your specific platform. CRM5, the first Paddington production system, is also where Britton's sovereignty governance campaign runs. We use it to ship our own work, which means the operating discipline ships with it.
Capabilities behind the work
Agentic Product Engineering
Agentic Product Engineering
AI-augmented engineering workflows that ship production systems in weeks, not quarters.
See how we help
Agentic AI
Agentic Solutions
Apply AI to product problems. Agents, workflows, and smart experiences that reset customer expectations.
See how we help
Healthcare & Life Sciences
Software as a Medical Device
Build regulated healthcare software with delivery practices that can stand up to product and compliance pressure.
See how we helpIf your sovereignty problem is shaped a little differently
Sovereign architecture work sits next to two adjacent problems we hear about in the same conversation. If your starting point is closer to one of these, begin there and we will pull the substrate work in when it lines up.
Coming off a legacy stack and the next move isn't just composable, it's sovereign?
Modernize your stackAI feature work that needs a substrate to live on?
Ship AI featuresSovereign foundation in place — now you need a sustainable way to evolve the product on top of it?
Agentic product evolutionSubstrate owned, but the audit-ready story for a specific regulator still needs to land?
Ship AI through complianceRenewal due? Vendor adding zeros?
Bring us the substrate question. We'll bring Paddington.
Tell us what you're betting your AI features on, what the renewal quote looks like, and how much of your stack you actually want to own. We'll come back with an honest read on whether the answer is a migration, a Paddington install, or a smaller fix that buys you the next eighteen months. No deck-ware.
Talk to us