All-in-one productivity platform for tasks, docs, goals, and team collaboration
Key facts
Pricing
Freemium
Use cases
Software developers building embedded analytics features into their products using native SDKs for Javascript, Python, or Rust (verified: 2026-01-29), Product teams creating multi-tenant dashboards that ensure secure data isolation for multiple clients and users (verified: 2026-01-29), Business analysts generating data visualizations and reports from multiple sources using natural language AI prompts instead of SQL (verified: 2026-01-29)
Strengths
The platform is LLM agnostic, allowing users to select specific models for different agents or connect self-hosted LLMs for privacy (verified: 2026-01-29), Users export and share dashboards in multiple formats including PDF, Excel, and PowerPoint with adjusted layouts for each (verified: 2026-01-29), The system supports more than 30 languages and provides mobile responsiveness for accessing insights across various devices (verified: 2026-01-29)
Limitations
The Startup plan limits usage to 50 embed users and 5 datasources per dashboard (verified: 2026-01-29), Advanced features like automation, custom LLM connectivity, and fine-tuned AI require a Growth or Enterprise tier subscription (verified: 2026-01-29)
Last verified
Jan 29, 2026
Strengths
- The platform is LLM agnostic, allowing users to select specific models for different agents or connect self-hosted LLMs for privacy (verified: 2026-01-29)
- Users export and share dashboards in multiple formats including PDF, Excel, and PowerPoint with adjusted layouts for each (verified: 2026-01-29)
- The system supports more than 30 languages and provides mobile responsiveness for accessing insights across various devices (verified: 2026-01-29)
Limitations
- The Startup plan limits usage to 50 embed users and 5 datasources per dashboard (verified: 2026-01-29)
- Advanced features like automation, custom LLM connectivity, and fine-tuned AI require a Growth or Enterprise tier subscription (verified: 2026-01-29)
FAQ
How do developers integrate Onvo AI dashboards into their existing software applications?
Developers integrate dashboards using the provided API and SDKs for Javascript, Python, and Rust. For those using React, a specific @onvo-ai/react package is available to visualize dashboards, while iframe options are also supported for building and embedding visualizations directly into products (verified: 2026-01-29).
Does the platform support data privacy through self-hosted infrastructure or specific model controls?
The platform allows for self-hosted LLM connections to enhance data privacy and security. Additionally, an Enterprise tier is available for organizations requiring on-premise deployments and full self-hosting of the Onvo AI solution to maintain complete control over their data environment (verified: 2026-01-29).
What types of data sources and integrations are available to build these dashboards?
Onvo AI supports standard integrations and allows users to create datasources that connect to various platforms. The number of datasources per dashboard is determined by the plan level, ranging from 5 on the Startup plan to over 15 on Enterprise tiers (verified: 2026-01-29).
