Made in Europe is not a sticker

A lot of teams want AI in project management. And they don't dare.

Not out of technophobia. For good reasons. Customer data lives in the tool. Who processes it, where and for what purpose is unclear with most vendors. The data protection officer wants an answer that doesn't exist. So the AI feature stays off. Or the whole tool goes.

That is not a fringe problem. That is the normal case in European teams. And it is justified.

The problem with "AI features"

The big PM tools have all retrofitted. Copilot here, assistant there. Bolted onto products that were never built for it.

That creates three problems:

Opaque data flows. Which data goes to which model? At which vendor? In which region? The documentation stays vague. "We may use third-party AI providers." Often that is all it says.

DPA chaos. Data processing agreements that drag subprocessors along in chains. Every new AI provider is a new subprocessor. With every update the list can change. Anyone who wants to review that seriously needs half a full-time position for it.

No control. The AI feature is on or off. Which model runs behind it is the vendor's decision. If they switch providers, your data moves along. Without anyone asking you.

That is not ill will. US tools are built for US customers. Over there, hardly anyone asks these questions. Here they do. Rightly so.

How Claire does it differently

Claire is built AI-first. Not as a feature, but as an architecture. And that architecture was designed for European requirements from the very beginning.

Specifically:

Data stays in Europe. Claire runs on Supabase in the EU region (Frankfurt). Your projects, tasks, documents, meeting notes: all of it sits on European servers. No transfer impact assessment needed, no standard contractual clause acrobatics for the core data.

Your own agents: your key, your control. Claire brings its own AI – and for your own agents it is bring your own key. You store your own API key and decide for yourself which AI provider gets to see your data. Want a European provider? Take one. Want to switch? Swap the key. Claire doesn't tell you whom to trust.

That sounds like a technical detail. It is the core of the trust model. With other tools the AI provider is a black box in the fine print. With Claire it is your decision.

A clear stack. Supabase for data. Resend for email. Vercel for hosting. That is essentially it. No list of forty subprocessors that changes every quarter. Whoever wants to audit it can audit it. In an hour, not in a week.

Transparency here is not a compliance chore. It is a feature. Exactly where others stay vague, Claire gets specific.

Why that also makes the pricing honest

This architecture has a side effect that at first glance has nothing to do with data protection: it makes the pricing model clean.

Claire accounts are completely free. You only pay for what you actually use: the AI features, by consumption. The Pro plan, for example, includes 150 agent runs per month and account. And for your own agents BYOK stays cleanly separated: you set the API key per board or project, consumption is counted per account. Who trusts which provider is decided at the project. What it costs, at the account.

No feature paywalls that punish growth. Boards, teamwork and files stay unlimited on every plan, including the free one, so bring everyone in. The tool gets better the more context it has. You pay where the value is created: when the AI actually works.

That only works because AI here is architecture and not a feature surcharge. Trust and pricing belong together. Both follow from the same decision.

Made in Europe as a product decision

"Made in Europe" sits on many landing pages as a sticker. What it means: company headquarters in the EU, servers somewhere, AI provider from California.

With Claire it is a series of decisions you have to make before the first line of code exists. EU region instead of us-east-1. BYOK instead of black box. Pricing tied to AI usage instead of locked-away features. An auditable stack instead of subprocessor lists.

US tools don't have to make these decisions. Their customers don't ask. Ours do. That is why Claire exists: the first AI-first project management tool from the EU. Not as a marketing claim, but as an architecture.

If your team wants AI in project management but has failed on data protection so far: that is exactly what Claire is built for. Try Claire for free. No sales call, no mandatory demo. Create a free plan, get going.