Built by People Who Actually Validate Data
After two decades of building tools for research labs, building scientists, and educators, we kept running into the same problem: teams doing serious work were stuck with tedious, error-prone data validation — or no real validation at all. Smart people spending hours on back-and-forth that a good workflow could handle in minutes.
Validibot exists because we decided to fix that properly.
We're McQuillen Interactive, a Melbourne-based web application studio founded by Daniel McQuillen. Since 2003, we've been building practical software for research labs, building scientists, and educators. Validibot is the product of everything we've learned about what makes validation software actually useful.
What Validibot Does
Validibot lets you define exactly how incoming data should look, run it through automated checks — including full simulation runs — and give everyone involved a clear picture of what passed, what didn't, and why. It blends validation rules and clear audit trails behind a simple interface, so you and your users can validate data with confidence.
Who It's For
We especially love working with teams in climate science, building performance research, scientific computing, and education — anyone doing serious work where data quality isn't optional. If your project is trying to make the world measurably better and you need validation you can trust, we want to work with you.
How We're Different
We're a small, independent studio — and we intend to stay that way. Small enough to know our customers, focused enough to build something that's genuinely good rather than merely adequate. We'd rather do one thing well than ten things passably.
Our core platform is open-source. We work in public. We respond to emails, we read bug reports, and we remember who told us what was broken. We're always trying to be better. We take the work seriously. Ourselves...eh, maybe less so.