AI makes work better when people handle it wisely. Rules alone do not get you there. Understanding does, at the moment it matters. That is what we build software for.
Thijs van Hall
Co-founder · product and strategy
Rens Timmermans
Co-founder · business development
Our story
Dozens of new AI tools appear every day. Next month your colleague will be working in a tool that does not exist today. Try to keep up with bans and you will always be too late.
People who understand why keep up just fine. Anyone who knows what sensitive data is, and why you do not share it casually, makes the right call in every tool. Including next month's. Training lays the foundation, but on a busy day knowledge slips. So we coach at the moment itself: a marking in your text, exactly where it matters. You decide what happens.
Choosing which tools your organisation allows still matters. That is what the catalog is for: more than 700 AI tools, each with a risk assessment, continuously curated. Admins use it to back up their decisions. Anyone who opens a tool that has no decision yet sees a friendly notice, with an approved alternative when one is set.
The founders
Co-founder · product and strategy
Thijs has worked in SaaS his whole career and previously built an app for GDPR work. His background is user experience, and his conviction is simple: privacy and AI can be made understandable. They have to be, because behaviour only changes when people understand why.
At BeeSensible he guards one thing: every screen and every marking builds awareness, not frustration.
Co-founder · business development
Rens guided AI programmes inside organisations and taught teams how to work with AI. He knows where good intentions fail: on the work floor, on a busy day.
At BeeSensible he talks daily with privacy officers, IT managers, and the colleagues who just want to do their work well. His measure never changes: whoever works with BeeSensible should experience it as help.
We have worked together for years and complement each other: one lives in the product, the other with the customer. Before BeeSensible we founded Gemeentepeiler, software that runs at more than 20 Dutch municipalities. That is where we learned how to build software people actually use, and how much trust is worth when you work with sensitive data. What binds us is the conviction that AI can change work for the better, if you handle it wisely. Sensible, in other words.
Our principles
Principles only count when you can point at them. So each one comes with an example from the product.
People who see what is in their text make better choices than people who hit a wall. So we mark it, at the moment it matters.
For example
Ingrid pastes a customer email into ChatGPT. The account number gets a marking before she hits send. She decides: remove, replace, or mask.
We build for sensitive data, so we store as little of it as possible. No text, no individual employees, only patterns.
For example
The dashboard shows how often each type of data was marked, per application. Who it was is not there. Anywhere.
Privacy and AI are full of jargon. That is exactly why everything you see has to be clear at a glance. If a screen needs a manual, the design is not finished.
For example
Mateo sees a marking under an address. One click, three buttons: remove, replace, mask.
Behaviour only changes when it helps you personally. So we build for the people doing the work first, and for the dashboard second.
For example
The marking sits in the text field you are already working in. No separate portal, no e-learning afterwards, no mandatory quarter hour of clicking.
We see AI as the biggest chance for better work in years. So we help organisations say yes, knowing the risks per tool.
For example
When a colleague opens a tool that has no decision yet, a friendly notice appears, with an approved alternative when one is set.
Partners
Handling AI wisely is not a product you install. It is a change you go through together. So we work with partners who help organisations get there: implementation partners, trainers who bring awareness to the work floor, and advisors who shape privacy and AI policy. They know the organisations, we build the product.
Around us stands a network of specialists in software development, privacy, and cybersecurity. It keeps us sharp and lets us move fast. Every choice, in the product and in the company, is tested against people who know their field.
Do you help organisations with AI, privacy, or security? Then we probably fit well together.
Talk to us, or just try it yourself.