Elham.ai

A retail analytics manager uploads six months of sales data through drag and drop

20 views ↑ 319% MoM · 1.1K users/Feb 2026

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A retail analytics manager uploads six months of sales data through drag and drop. She needs to predict inventory demand for next quarter but doesn't know Python or R. Elham.ai runs 43 different machine learning algorithms automatically, picks the best one, and deploys a working prediction model with one click. She gets forecasts through an API that her existing systems can call directly.

This automated machine learning system handles the full journey from messy spreadsheets to production-ready AI. Upload tabular data or connect directly to your data sources. The system tests dozens of algorithms, builds the model, and pushes it live without requiring any code. It's built for people who need AI results but don't have data science teams.

A hospital operations director wants to reduce patient wait times. He's got years of admission data but zero programming background. He connects his database, selects what he wants to predict, and watches the system build a model that forecasts peak hours. Team collaboration features let him share the model with department heads who can run their own predictions.

The free trial includes three ML models and 1,000 predictions monthly with basic support and community access. You're limited to CSV uploads and standard algorithms. Premium runs 2,100 SAR monthly when billed yearly, bumping you to unlimited models, 100,000 predictions, priority support, API access, advanced algorithms, custom deployment, team collaboration, and model versioning. Enterprise offers everything unlimited with dedicated support, SLA guarantees, on-premise hosting, and custom security.

Where it stumbles: no integrations listed beyond direct data connections. If you need pre-built connections to specific tools, you're working from scratch. The free plan's three-model limit means you can't experiment much before paying. Basic support on free means you're mostly on your own troubleshooting issues.

A financial services startup needs fraud detection across multiple transaction types. They'd hit that three-model cap immediately. A solo consultant testing different client projects might burn through 1,000 predictions in days. Anyone needing custom integrations with niche platforms will find gaps.

Elham.ai claims higher accuracy than Microsoft Azure Machine Learning. It's the first Saudi company focused on automated machine learning, fully hosted in Saudi Arabia with encrypted storage. Started as a side project during Kaggle competitions, now serving 20+ regions.

Skip this if you need dozens of experimental models on free tier or require extensive third-party integrations beyond data source connections. It's built for straightforward prediction tasks with clear datasets, not complex multi-system AI workflows.

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