Loam grounds AI in your actual data so it stops hallucinating numbers. Upload CSV, Excel, Parquet, or JSON, ask in plain English, and get answers computed from real rows with the query shown. Use Loam directly or connect from Claude, Cursor, or any MCP client.
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Maker
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I built Loam because AI is remarkably convincing even when it invents the numbers. Loam connects AI to your actual files and tables, runs the query against the real rows, and shows its work. You can ask a question in plain English and get an answer you can verify instead of one you have to trust on faith. I’d love to hear which datasets and workflows you want Loam to support next.
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finally something that shows me the actual query it ran, that's the part i always want when chatgpt gives me a number. csv upload was smooth, answers came back fast.
finally something that shows me the actual query it ran, that's the part i always want when chatgpt gives me a number. csv upload was smooth, answers came back fast.