Last month, we shared research on why LLMs fail at data analysis: even the best models hallucinate answers when reasoning over structured data.
Today we're launching what we've built to fix it.
Summand is now live at summand.com.
What most teams want is simple: plug AI into their data and get answers they trust. Most "chat with your data" tools try to deliver that by translating your question into SQL and hoping for the best. Summand does something harder: it builds up a real understanding of your data. What your columns actually mean, how your tables relate, where the edge cases live. You can contribute to that understanding too, and so can the agent.
Under the hood, that understanding is grounded in interpretable ML and a semantic layer purpose-built for structured data. That's what makes the answers trustworthy.
Why the name “Summand”? Just like how a summand is a term in a summation, Summand decomposes your data into interpretable reasoning components. By breaking complicated outcomes into simple patterns, Summand makes downstream AI systems reliable and transparent.
*What this means to you:* Connect your data to Summand.com, start asking questions immediately, and power your downstream AI applications through Summand’s MCP access.
Try it today → summand.com
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