The data experience your customers deserve
Upsolve AI is the analytics platform for deploying governed, grounded, trustworthy data agents that know your business. Two components: Upsolve Data Agent + Agent Studio. Upsolve Data Agent acts like a best-in-class analyst: asking clarifying questions, optimizing queries, charting data, drawing insights, and creating reports. Agent Context Studio handles governance, semantic layer, context curation, with full testing, observability and evals so your agent answers the what and the why correctly.
Upsolve deploys agents via SDK, MCP, Slack, Teams, Claude, ChatGPT, or Cursor. Team and Enterprise tiers support multi-tenant embedding with row-level security and RBAC, allowing product teams to surface data insights without building custom analytics infrastructure.
Agent Context Studio consolidates institutional knowledge scattered across Notion, Linear, SQL repos, dbt projects, Slack, and email into a single structured context layer. This eliminates conflicting definitions and ensures all agents use the same business logic.
Platform encodes institutional context across three layers (structure, meaning, trust) and validates every answer against KPI definitions, SQL patterns, and business rules. Full traceability shows which data sources, definitions, and guardrails produced each result, eliminating hallucinations that fail in production.
Upsolve AI deploys AI analytics agents that answer repetitive data questions automatically (47% of typical queues). Teams encode business context once, then agents serve ad-hoc requests from sales, finance, ops, and marketing in real-time, reducing 2-4 week wait times to instant answers.
Platform captures every user conversation and automatically surfaces context gaps. Built-in evaluation agents grade performance; gaps are encoded back into the context layer, so accuracy improves with each interaction without manual retraining.