Broad warehouse and connector support
Upsolve’s home page says teams can bring in 30+ SQL database connectors out of the box and import an existing dbt project, while the pricing page says all plans support 50+ data connections.
Upsolve AI
Freemium
Build and deploy grounded analytics agents for trusted answers from business data.
What is Upsolve AI?
Upsolve AI is a platform for building, deploying, and evaluating analytics agents that answer questions against business data. Its core focus is grounding agent output in approved context so responses are more accurate, traceable, and consistent with a team’s definitions and data models.
The product is aimed at data teams and product teams that want to serve trusted answers in chat or embedded experiences. The home page describes a two-sided platform: builders use Agent Studio to encode context, test behavior, and deploy agents; end users ask questions and receive grounded answers with visible lineage and verification details.
What can Upsolve AI do?
Context management for governed answers
The platform organizes agent context into structure, meaning, and trust so answers can be tied to tables, metrics, definitions, and approved sources instead of raw prompts alone.
Full conversation observability
The product traces conversations end to end, showing the user question, tool calls, SQL queries, and agent output so teams can inspect how an answer was produced.
Evaluation and context monitoring
Upsolve includes built-in evaluation and monitoring to grade performance, surface missing context, and adapt when metric definitions change.
Analytics delivery and inspection tools
The pricing page says the platform includes charts and visualization, context management, observability and eval, and an MCP app across plans.
Deployment features for product teams
The Team and Enterprise plans add embedding, row-level security or RBAC, multi-tenant support, semantic-layer tooling, and scheduling for AI dashboards and email.
Use Cases
“Internal analytics Q&A”
Create chat-based analytics agents that answer recurring questions about revenue, churn, pipeline, utilization, or other business metrics using approved definitions and SQL patterns.
“Embedded product analytics”
Package an analytics assistant inside a customer-facing product with embedding, row-level security, and multi-tenant support on higher-tier plans.
“Metric governance and context encoding”
Encode business rules, KPI definitions, and other institutional knowledge into the context layer so answers stay aligned with how the team actually measures performance.
“Debugging and quality review”
Inspect tool calls, SQL, and lineage when an answer looks off, then use evaluation and monitoring to close gaps in the context layer.
“Fast-start deployment for data teams”
Import an existing dbt project and connect to supported warehouses to move toward a working agent without building a semantic layer from scratch.
Frequently Asked Questions
What is Upsolve AI used for?
Upsolve AI is designed for analytics agents that answer questions against your data with grounded context, validated SQL, and governed business logic. The source emphasizes agent-building, deployment, and evaluation for data teams rather than a general-purpose chat product.
What data sources can it connect to?
The pricing page says Upsolve supports 50+ data connections on all plans, and the home page lists connectors such as Snowflake, BigQuery, Redshift, Postgres, Databricks, and MySQL, with dbt project import supported. The source also says a semantic layer is optional to get started.
Does Upsolve AI offer a free or paid plan?
Yes. The pricing page includes a Free tier, Pro and Team tiers, and a custom Enterprise plan. It also states that annual commitments receive a 20% discount on the base fee.
Can teams embed Upsolve AI into products or internal workflows?
Yes. The pricing page says Team and Enterprise support embedding, while Enterprise adds row-level security or RBAC, multi-tenant support, and dedicated support. The home page also describes a two-sided platform for builders and end users.
How does Upsolve AI help with trust and evaluation?
The source indicates that conversations are traced end to end, including user questions, tool calls, SQL generation, and agent output. It also says the platform includes built-in evaluation and context monitoring to surface gaps and improve accuracy over time.
Quick Facts
- Category
- AI Analytics Platform
- Primary users
- Data teams, analytics teams, and product teams
- Source domain
- upsolve.ai
- Pricing model
- Free, Pro, Team, and custom Enterprise plans
- Notable workflow
- Build, test, deploy, and evaluate grounded analytics agents
- Connectors
- 50+ data connections on pricing page; 30+ SQL connectors out of the box on home page
Upsolve AI Traffic Analysis
Traffic data is for reference only.
- Monthly Visits
- 10.3K
- Global Rank
- #2,160,969
- User Bounce Rate
- 45.3%
- Avg. Visit Duration
- 00:15
- Pages per Visit
- 1.85
- Domain Rating
- 35
Traffic Trends
| Jun | 13176 |
|---|---|
| Jul | 11052 |
| Aug | 10279 |
Traffic Sources
Traffic analytics are not available yet.
Top Regions
Traffic analytics are not available yet.
Upsolve AI Alternatives
Agents Base
agentsbase.ai
Agents Base automates A/B testing for cloud-agent marketing campaigns; now shutting down after acquisition.
BigBear.ai
bigbear.ai
AI-powered decision intelligence for defense, security, trade, manufacturing, and supply chains
RTutor 2.00
rtutor.ai
RTutor 2.00 turns plain-English questions into R or Python code for interactive dataset analysis.
XenonStack
xenonstack.com
XenonStack is a Data & AI Foundry for governed, explainable agentic workflows.
SymphonyAI
symphonyai.com
Vertical AI applications for retail, finance, and industry
Epiminds
epiminds.com
Epiminds is a marketing AI platform built around Lucy, a multi-agent system that helps agencies and marketing teams analyze performance, execute actions, and delegate recurring work across Slack, email, and their existing marketing stack.