Last updated 07-28-2026
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Upsolve AI
Upsolve AI helps data teams build analytics agents that deliver accurate, trusted answers by encoding your business context. It connects to 30+ SQL databases and supports importing dbt projects, making it easy to bring your data together. The platform encodes institutional knowledge scattered across tools, docs, and repos to provide relevant insights without AI hallucinations.
It offers a two-sided platform: builders get a studio to create and observe agents, while end users receive visual insights on demand. Upsolve AI focuses on scaling insight delivery by reducing repeat questions and wait times, improving accuracy with every conversation. Its context infrastructure ensures analytics agents understand your business rules, KPIs, and tribal knowledge, making data meaningful and trustworthy.
The platform supports embedding agents into products, role-based access control, multi-tenant setups, and offers forward deployed engineering for hands-on support with semantic layers and context management. Upsolve AI is designed for data teams needing to scale analytics delivery and provide reliable, contextual insights to their users.
🔗 Connects to 30+ SQL databases including Snowflake, BigQuery, and Redshift for broad data access
🧠 Encodes business context and institutional knowledge to prevent AI hallucinations and ensure trusted answers
⚙️ Forward Deployed Engineering offers expert support embedding Upsolve engineers alongside your data team
🔒 Supports row-level security, role-based access control, and multi-tenant deployments for enterprise needs
📊 Provides AI dashboards, email scheduling, and embeddable agents for seamless integration and user insights
Supports a wide range of SQL databases with 50+ connectors
Encodes institutional knowledge to improve AI answer accuracy
Offers hands-on engineering support through Forward Deployed Engineering
Provides enterprise-grade security features like RBAC and SAML SSO
Flexible deployment options including cloud and on-premises
Free tier credits are one-time and limited to about 200 questions
Enterprise pricing and features require contacting sales and custom agreements
What are credits, and how do they work?
Credits measure AI agent interactions on Upsolve. Simple queries use fewer credits, complex ones use more, capped at 20 credits per query.
What happens when my free credits run out?
Upsolve AI after using 2,000 free credits, you need to upgrade to a paid plan to continue. Your data and configurations remain intact for a smooth transition.
What is Forward Deployed Engineering?
Forward Deployed Engineering means Upsolve engineers work directly with your data team to build semantic layers and encode business knowledge for accurate agents.
Can I use my own AI models with Upsolve?
Enterprise customers can bring their own models (BYOM) and pay their cloud provider directly, with Upsolve charging a surcharge for orchestration and tooling.
Can I switch plans anytime?
Upsolve AI yes, you can upgrade or downgrade plans anytime. Upgrades mid-cycle are prorated; downgrades take effect after the current billing period.
Do you offer annual pricing discounts?
Upsolve AI yes, annual plans get 20% off base fees and credit overage rates, with additional bulk credit discounts for the Team plan.
How many data connections can I have?
Upsolve AI all plans support 50+ data connections to major warehouses. Enterprise plans offer unlimited connections and custom integration support.