The most capable AI workflows touch your most sensitive data. Sending that data to someone else's cloud isn't always an option — and increasingly isn't wise. We build AI-native workspaces where your team and AI agents collaborate on your data, inside infrastructure you control.

That means self-hosted collaboration, single sign-on, and on-premises or in-jurisdiction LLMs for the data that can't leave your boundary — architected from the start to support data sovereignty and GDPR obligations, not retrofitted after an audit.

Why sovereignty, and why now

Where your data physically sits is no longer the whole story. Under the US CLOUD Act, a US-headquartered provider can be compelled to hand over data it controls regardless of where it's stored — and there is no comprehensive US federal privacy right to push back with. The EU's GDPR, by contrast, treats data protection as a fundamental right. We design for the stronger standard.

It's the same discipline global finance has demanded for decades: out-of-jurisdiction data kept strictly partitioned, never comingled — the rule across Swiss, Singaporean, and other privacy regimes. We bring it to AI.

Sovereignty is a partnership. We can keep your data in your jurisdiction and your control when you commit to the choices it takes:

In-jurisdiction infrastructure — compute, storage at rest, and backups on local hardware or cloud within your jurisdiction (the part teams forget: production in-region while backups quietly replicate offshore breaks the whole model).
In-jurisdiction software — regionally-built or open-source you can self-host on-prem or in an appropriate cloud, with third-party SaaS minimized so there are fewer external processors to validate.
Local inference where it matters — your most sensitive data gets AI leverage without ever leaving the building, and never becomes training data for a model you don't control.

We're a US company, and most of what we build is business-as-usual AI. This path is for clients who specifically want it.

What you get

Self-hosted collaboration environment
Single sign-on and granular access control
On-premises or in-jurisdiction LLM deployment for sensitive data
AI agents integrated into the workspace alongside your team
Architecture designed to support data sovereignty and GDPR obligations — covering data at rest, in transit, and in backups
Migration from existing tools and ongoing support

How it works

1. Architecture

We map your data's boundaries and your compliance requirements — what stays on-prem, what can live in an in-jurisdiction cloud, what software is allowed, and why. You get a clear picture of where every byte lives before anything is built.

2. Build

We stand up the workspace: collaboration, SSO, on-prem models, and the agent integrations that make it AI-native.

3. Migrate

We move your team and data across with minimal disruption.

4. Operate

Ongoing support, hardening, and iteration as your needs evolve.

Who it's for

For organizations handling sensitive or regulated data — professional services, healthcare, finance, EU-based teams — that want AI leverage without surrendering control of their data.

AI-Native Workspaces