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Upsolve AI

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What is Upsolve AI?

Agent Studio to build, deploy, and evaluate grounded, trustworthy analytics agents on your data.

Upsolve AI is an Agent Studio for data teams to build, deploy, and evaluate grounded, governed, and trustworthy analytics agents. It layers institutional context (warehouse tables, validated SQL patterns, semantic models, KPI definitions, and business rules from sources like Notion, Slack, and email) on top of 30+ SQL database connectors so end users can ask questions in natural language and get accurate, traceable answers. Every conversation is fully traced end-to-end (tool calls, SQL, agent output), a built-in evaluation agent grades performance, and context monitoring surfaces gaps so accuracy improves with use. Agents deploy to Slack, Teams, Claude, ChatGPT, Cursor, or embed in your own product via MCP/SDK.

Key Features

30+ SQL database connectors (Snowflake, BigQuery, Redshift, Postgres, Databricks, MySQL, +24)
dbt project import (semantic layer optional)
3-layer context architecture: Structure, Meaning, Trust
End-to-end agent tracing and observability
Built-in evaluation agent + context-gap monitoring
Multi-surface deployment: Slack, Teams, Claude, ChatGPT, Cursor, MCP, embed via SDK
Prompt-to-dashboard personal dashboards

Use Cases

Self-serve analytics for non-technical teams
Reducing repeat ad-hoc data requests
Embedding a trusted GenBI agent in a SaaS product
data agentsanalyticstext-to-SQLembedded BIagent observabilitysemantic layerMCP

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Frequently Asked Questions

What does Upsolve AI do?

Agent Studio to build, deploy, and evaluate grounded, trustworthy analytics agents on your data.

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