Description
Upsolve AI is a robust platform that enables organizations to build, deploy, and evaluate data agents that deliver accurate and trustworthy insights. The platform is designed to address common challenges faced by data teams, such as repeat questions, long wait times for insights, and AI hallucinations. Upsolve AI provides a two-sided platform where builders can create fully observable agents, and end users can access visual insights on demand.
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The platform supports over 30 SQL database connectors, allowing users to bring their existing data projects into Upsolve without requiring a pre-built semantic layer. It encodes context into its infrastructure, ensuring that insights are accurate, relevant, and trustworthy. The platform's context architecture includes layers for context encoding, judgment, and evaluation, making agent behavior transparent and traceable.
Upsolve AI offers various pricing plans, including Free, Pro, Team, and Enterprise tiers, each with different features and support levels. Users can start with 2,000 free credits and upgrade as needed. The platform supports multi-surface deployment, allowing analytics agents to be embedded in Slack, Teams, Claude, ChatGPT, and other applications.
The platform is ideal for mid-market and enterprise data teams, as well as AI and innovation teams looking to scale their output without expanding their team size. Upsolve AI's features include a context management suite, full observability and evaluation suite, AI cockpit for data modeling, and semantic layer generation. The platform is recognized for its ease of use and support, making it a trusted choice for Fortune 500 companies.
- CategoryAI Agent Builders
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsSlack, Teams, Claude, ChatGPT
Upsolve AI's Core Features
Build and deploy data agents
30+ SQL database connectors
Context encoding infrastructure
Multi-surface deployment
Full observability and evaluation suite
AI cockpit for data modeling
Semantic layer generation
Priority and dedicated support options
How to use Upsolve AI?
Connect: Integrate your data sources
Encode: Define context and rules
Deploy: Launch agents across platforms
Evaluate: Monitor and refine agent performance
Upsolve AI's Use Cases
- Data Integration
- Context Encoding
- Agent Deployment
- Performance Evaluation
- Real-Time Insights
