Upsolve AI

Data teams often struggle with scattered institutional knowledge that makes it hard for AI tools to produce reliable results. Upsolve AI addresses this by organizing warehouse tables, defining metrics and dimensions, and pulling in context from tools like project management platforms, messaging apps, and email threads. This layered approach ensures that generated queries and responses align with approved definitions and business rules. The system includes built-in tracing for every interaction, allowing builders to review tool calls, generated SQL, and outputs for full transparency. An evaluation process identifies gaps in context and supports ongoing refinement so accuracy improves over time. End users receive grounded responses without needing to handle prompt engineering themselves. Agents can be deployed to common collaboration environments or embedded directly into applications. This setup allows teams across an organization to access interactive insights and create personalized dashboards through natural language requests while maintaining consistent guardrails.