From raw data to production AI. Without the PhD requirement.
Connect to any LLM provider with one API. Automatic failover. Built-in caching. Control your costs.
Build semantic search in minutes. Store embeddings. Search by meaning, not just keywords.
One-click model training. No ML expertise needed. Upload your data. Get a production model.
Ask questions in plain English. Get instant answers and visualizations. No SQL required.
Switch providers with one line of code. Never get locked in.
One API for all major providers. Switch providers without changing code. Mix and match models.
Automatic fallback when providers fail. Your app stays up even when LLMs go down.
Built-in response caching. Rate limiting. Usage tracking. Never get surprised by AI bills.
Search by meaning, not just keywords.
Find documents by meaning. Ask questions in natural language. Get relevant results.
Build chatbots that know your data. Answer questions from your documents. Keep AI grounded in facts.
Find similar items. Recommend products. Match users to content. All based on semantic similarity.
Simple API. Store and search embeddings. Works with any embedding model.
You don't need to be a data scientist to build ML models.
CSV, Parquet, or connect to your database. We handle the rest.
Select your target column. Classification or regression. Done.
We train multiple models. Pick the best one. Deploy with one click.
No PhD required. Just your data and an idea.