OrchestraML
Multi-agent platform that runs the full ML lifecycle from a plain-English goal, with human approval at each stage.
- Freemium
- Web, API
- Other
- Free plan available
- No credit card
What is OrchestraML?
Key features
Eight specialised agents
Orchestrator, Dataset, EDA, Cleaning, Features, Modeling, Evaluation and Deployment agents each handle a stage of the pipeline.
Six human checkpoints
The workflow pauses at six gates so users can review and approve agent decisions before continuing.
AutoML model training
The modeling agent runs AutoML with adaptive time budgeting to find a suitable model.
Explainability and bias checks
The evaluation stage provides SHAP analysis, performance metrics and bias detection.
AI audit trail
Decisions made across the pipeline are documented for transparency and review.
Model packaging
Users can download a ZIP containing model.pkl, scaler.pkl, predict.py and requirements.txt.
API deployment
Paid tiers support BentoML API deployment alongside model downloads.
Pros & cons
Advantages
- The whole pipeline is driven from a plain-English goal, so users do not need to write ML code.
- Six human approval checkpoints keep the user in control rather than fully automating decisions.
- The free tier is genuinely usable, with ten pipelines a month, all eight stages and no credit card required.
- Outputs are portable, providing a downloadable model package with prediction script and requirements.
- Built-in SHAP explainability and bias detection support more responsible model evaluation.
Limitations
- Pricing is listed only in Indian rupees, which may be inconvenient for users budgeting in other currencies.
- Dataset size is capped at 50,000 rows on the free tier and 500,000 rows on Pro, limiting larger workloads.
- There is no free trial of paid features or money-back guarantee mentioned on the pricing page.
- The product is positioned mainly for students and developers, so it may not suit enterprise ML teams.
Use cases
Students building an end-to-end ML project for coursework without writing model code.
Developers prototyping a predictive model quickly from a tabular dataset.
Data learners who want a guided pipeline with explainability and bias checks built in.
Small teams sharing a pipeline library and model registry on the Team tier.
Practitioners who need a packaged model with a prediction script ready to download and run.
Users who want to deploy a trained model as a live API through BentoML on a paid plan.
Ready to try OrchestraML?
Pricing
Free
INR 0 per month
10 pipelines per month, datasets up to 50,000 rows, all 8 pipeline stages, 6 human checkpoints, model download as ZIP, EDA charts and SHAP, AI audit trail, email support. No credit card required.
Pro
INR 1,249 per month (INR 14,988 per year with 20% annual discount)
Everything in Free plus unlimited pipelines, datasets up to 500,000 rows, BentoML API deployment, priority processing, Jupyter notebook export and priority email support.
Team
INR 3,199 per month (INR 38,388 per year with 20% annual discount)
Everything in Pro plus 5 team members, shared pipeline library, team model registry, Slack notifications, dedicated support and custom data retention.
Get started with OrchestraML
Click through to OrchestraML and start using it now.
- Free plan available
- No credit card