Enterprise software at a fraction of the enterprise price.
The team behind Datavera spent years inside the consulting arms of the world's biggest firms, on multi-billion-dollar programmes for global companies. We kept the engineering standards. We left everything that made it slow and expensive.
Why we started this.
Inside a big firm, software crawls. A change request needs a committee, the committee needs a steering group, and a tool that honest engineering would ship in weeks gets scheduled across years. The people who actually build it sit at the bottom of a very expensive pyramid. We were those people, and we got tired of it.
What that pyramid charges has little to do with what the software costs to build. A large part of the invoice pays for the brand on the cover slide. If your company can spend seven figures on that, there are excellent firms happy to take it. Datavera is for everyone else: the same engineering quality, at a price that reflects the work, agreed before we build.
On AI, plainly: much of what's currently sold as proprietary AI is a prompt on top of the same models everyone can use, wrapped in a workshop and a licence fee. We work with those models daily and they're genuinely useful. But we'll tell you which part of your problem needs one, which part needs ordinary software, and which part needs nothing at all. Nobody here bills you for a costume.
We're not doing this to get rich; consulting pays better. We're doing it because small and mid-sized companies should be able to buy the same quality of software the giants get, and because building fast, without the theatre, is simply more fun. We do it from Walchwil, on the Zugersee.
What we can show you.
What we build goes into production, not into a pitch deck. Each of the four products on this site started as a real job at a real company, and the software is shaped entirely around how that client works, down to their templates and approval steps. Where accuracy can be measured, we publish it: on a hand-checked test of 632 real questions from seven fields, the document engine answered 95% of them correctly.
That's also why we can't show you much of it. A tool shaped that closely to one company's operation isn't ours to parade around, and the companies running it usually prefer to keep it that way. In our part of Europe, discretion is the default, and we happily oblige. So when a client volunteers to go on the record, it counts double:
Lighthouse Invest
"I didn't start the firm to reformat spreadsheets every quarter. Datavera builds the client reports now, we just sign them off, and I'm back in front of clients, where I'm actually any use."
Ask the lab about anything AI.
A free second opinion from the people who would do the work. Send the vendor quote you can't judge, the chatbot that invents numbers, or the demo that fell over on real data. You'll get a written answer, not a sales call.
Niklas is our AI consultant and one of the engineers on the technical team. When a client project touches a model, he's the one who tests what it can honestly do before we promise anything. He'd rather show you a failed test than a polished demo, and he writes publicly about what breaks, including when a well-known model gets something wrong. He's near Cologne, so calls happen in German or English.
Send the question
A few lines in the form below, or an email if that's easier. What you send stays between you and the lab.
An answer inside one business day
From Niklas, our AI consultant: whether it's worth building, what it would roughly cost, and what to watch out for. Sometimes the answer is that you don't need it; that comes in writing too.
Then it's your call
If it turns into a project, the next step is a pilot, not a contract. If it doesn't, that's the end of it. No follow-up calls, no mailing list.
Send the lab your question.
A few lines about the problem is plenty. It goes straight to the lab.