We built the AI workspace
we wanted to work in

Based in Eindhoven. Built for European teams.

EchoChat team collaboration session

AI is happening. Whether your organization is ready or not.

Most teams we know are in the same position. Leadership is cautious. Compliance is nervous. IT is still writing the policy document.

Meanwhile, someone in marketing has already figured out ChatGPT on their own. The developer is using Claude. The analyst is running reports through Gemini. Nobody told them to. Nobody is tracking it. Nobody knows what data is leaving, or where it ends up.

This is shadow AI. It is not malicious. It is just what happens when organizations move slower than the technology. People find a way, using personal accounts, on servers in the United States, with no visibility for anyone in charge.

We built EchoChat because we think that is an avoidable problem. Give people access to the best tools, inside a workspace their organization actually controls.

EchoChat workspace interface

We kept buying new subscriptions. So we stopped.

The idea for EchoChat started with a straightforward frustration.

Every few months, a better AI model would launch. First we were paying for OpenAI. Then Gemini came out. Then Claude. Then something else. The models kept getting better, the subscriptions kept stacking up, and we kept logging in and out of different platforms with different invoices.

We wanted to use the best tool available for each task, without managing five separate accounts. So we built one workspace that connects to all of them.

EchoChat for different roles

One workspace. Two very different people.

We think about two people when we build EchoChat.

The first just wants to use AI. They are not technical. They do not want to think about which model is best for what, or whether their data is safe. They want to get their work done. EchoChat gives them access to the best models available without making them manage anything.

The second is responsible for making sure that is safe. The IT lead. The compliance officer. The founder who gets asked by a client: where does our data go? EchoChat gives them model controls, PII detection, and EU hosting. And a clear answer to that question.

Both of them can use EchoChat without making compromises.

Meet the team

A team of builders, thinkers, and privacy advocates behind EchoChat, led by our two founders.

Stefan

Stefan

CEO & Co-Founder

Sets the direction for EchoChat and makes sure privacy-first AI isn't just a promise, but a product teams rely on every day.

Sander

Sander

CTO & Co-Founder

Leads the engineering and infrastructure, from secure EU hosting to the models and integrations that keep EchoChat fast and reliable.

What we actually believe

AI for everyone

AI should be accessible to everyone in an organization, not just the people technical enough to figure it out on their own. We design the product so marketing, legal, finance, and ops can all get value from day one, without a training session.

Privacy in the foundation

Privacy is not a feature you add at the end. It has to be in the foundation. That's why we host everything inside the EU, never train models on your data, and design every feature by asking: what happens to the information that flows through here?

Always the best model

The best AI model today might not be the best one next month. We think you should always have access to whatever is best, without switching tools. That's why we connect the leading providers in one place and let you pick the right model for each task.

Based in the Netherlands

We're a distributed team with roots in Eindhoven, Maastricht, and Amsterdam, plus remote team members across Europe. Our European base means we understand GDPR, data sovereignty, and the privacy expectations of European businesses.

Locations

Eindhoven, Maastricht, Amsterdam + Remote

Timezone

CET (Central European Time)

Curious how we think?

Get in touch to talk more about AI privacy, data security and the best way to use AI in your organization.