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.
Intent
I need it when
Connect multiple data sources and semantic layers without rebuilding data infrastructure
Upsolve connects 50+ SQL databases out-of-the-box (Snowflake, BigQuery, Redshift, Postgres, Databricks, MySQL, etc.). Supports dbt project import but semantic layer is optional—AI Cockpit (Team+ plan) auto-generates semantic models. Orchestrates institutional knowledge scattered across Notion, Linear, SQL, Slack, email, and docs into unified context layer.
Reduce repetitive data requests and scale analytics team output without hiring more analysts
Upsolve AI builds conversational analytics agents that answer 47% of repeat questions (pipeline, burn, utilization) automatically. Users chat to their data in Slack, Teams, or Claude; agents retrieve verified answers in seconds instead of waiting 2-4 weeks for analyst response. Scales output without 12-month data modeling projects.
Deploy trustworthy AI analytics that don't hallucinate or produce wrong KPIs in production
Upsolve encodes 3-layer institutional context (structure, meaning, trust) into agents—SQL patterns, semantic models, business rules, KPI definitions, and guardrails. Every answer is KPI-verified, SQL-matched, and definition-applied. Full tracing shows data lineage from source to metric to answer. Built-in evaluation agent grades performance and surfaces context gaps automatically.
Embed analytics capabilities into product or internal tools without building custom AI infrastructure
Upsolve deploys agents across Slack, Teams, Claude, ChatGPT, Cursor, or embeds directly via SDK/MCP. Same context and guardrails on every surface. Team plan ($2,000/mo) includes row-level security, RBAC, multi-tenant support, and embeddable agent frontend. Enterprise plan adds on-prem/VPC deployment and SAML SSO.
Generate interactive dashboards and visualizations on-demand without manual BI tool configuration
Upsolve's end-user studio creates personal dashboards with a prompt. Users ask questions conversationally; platform auto-generates fully interactive, shareable dashboards with charts. Team plan includes AI dashboards and email scheduling. Eliminates manual dashboard creation bottleneck.
Drop
Not a fit when
User needs direct CSV file upload without database connection—Upsolve requires 50+ SQL database connectors (Snowflake, BigQuery, Redshift, Postgres, Databricks, MySQL, etc.), not standalone CSV imports
Organization requires on-premises deployment without enterprise plan—self-hosting and VPC deployment only available in custom Enterprise tier
User needs real-time data streaming or sub-second query latency—platform optimized for analytical queries, not operational/transactional workloads
Team lacks SQL warehouse infrastructure—Upsolve is a data agent layer, not a data warehouse; requires existing warehouse connection
Budget under $500/month and query volume exceeds 200 questions monthly—Free tier credits exhaust quickly; Starter Pro at $500/mo is minimum paid option
Commercials
Pricing
Credit-based usage with tiered monthly subscriptions. Free tier includes 2,000 one-time credits (~200 analytical questions). Paid tiers include monthly credit allowances plus per-credit overage charges.View pricing