01. Upload & describe
Attach a CSV, Excel, or connect a database. Describe the business goal in plain language — no ML jargon required.
MODELLER — From raw data to production ML
NO CODE · NO ML TEAM · 40 MINUTES
One click from data to a working model
Upload your data, describe a business goal. Modeller builds, validates, and deploys a model — no code, no ML team, no infrastructure.
Every run completes in under 40 minutes and produces either a ready-to-use model or a clear explanation of why the data didn't work.
See it in action
Upload a file. Describe what you want. Watch Modeller do the rest.
How it works
Three steps. No configuration. No waiting on an ML team.
02. Modeller runs
Automated data audit, feature engineering, model selection, and cross-validation. Every decision is logged and explainable.
03. Receive your result
A production-ready model with a REST API, or a detailed report explaining exactly what data is needed and why.
Why Modeller
No code required
No models to choose, no features to tune, no pipelines to build. You press one button.
Always a clear result
Model ready — deploy via API. Data insufficient — get a detailed report explaining why and what to fix.
Your data stays yours
All processing inside Modeller. Raw data never leaves the platform. Legally binding.
Every run ends with a clear answer
No ambiguity. No "it depends". One of two outcomes — both valuable.
Model ready: Deploy to production
- REST API endpoint, live in minutes
- Versioned — roll back any time
- 24 / 7 drift and performance monitoring
- Batch and real-time predictions
Data insights: Fix and re-run
- Root-cause analysis of data gaps
- Exact columns and row counts needed
- Label quality and class balance report
- Actionable steps to improve your dataset
By the numbers
≤ 40 min Time to result From raw file to deployed endpoint
0 lines Of code No setup, no dependencies, no DevOps
24 / 7 Monitoring Drift detection and automatic alerting
100% Actionable runs Every run produces a model or insights