1
Platform
The product went from an open-source package to a full hosted platform with workspaces, versioning, and deployment.
Turning an Open-source Python Package into a Full Cloud SaaS Platform for Explainable ML
xplainable is a platform for building transparent ML models without notebooks, without a data science team. Upload a dataset, choose a target, and the platform trains a model and explains every decision it makes. The product started as an open-source Python package. We built the full web interface and cloud SaaS layer on top of it.
Clientxplainable
CategoryB2B / SaaS
CountryAustralia
<1
Second
Models go from trained to deployed in under a second no waiting on a release cycle to get a model live.
100%
No-Code
Analysts and business managers now build and deploy ML models on their own, no data scientist needed in between.
1
Shareable Link
Stakeholders open a link and interact with live model results, instead of reading a PDF that's already out of date.
5
ML Stages
The client went to market with one platform covering data upload, training, explanation, deployment, and sharing start to finish.
1.
The Product Existed Only for Developers
AutoTrain UI a no-code interface for training ML models. Upload a dataset, pick a target, run training, and see the results right in the browser. Analysts and managers build production-ready models without touching Python.
2.
ML Models Were a Black Box
3.
Results Couldn't Be Shared Without Rebuilding Them
4.
No SaaS Infrastructure
5.0
On Clutch · verified reviews
“VRB understood our business, not just the tech. They rebuilt our legacy platform into something fast, reliable, and actually usable.”
More projects under NDA. Ask us about them on a call
Ask us about them on a callFintechEnergyEdTechMedia
Have a legacy product that's not working the way you need it to?
Let's audit it first. No commitment to rebuild — just an honest conversation about where you are and what's possible.