
AI-powered analytics for no-code data exploration, visualization, and machine learning.
By Tanmay Verma, Founder · Last verified 06 Jul 2026
In short
Daivio — AI-powered analytics for no-code data exploration, visualization, and machine learning. Best for Data analysts, Business intelligence teams, Data scientists. Free to start; paid plans from $29/mo.
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Daivio is a solid choice for teams looking to democratize data analytics and ML without coding. Its AI copilot and explainability features set it apart, but the query limits on the free plan may hinder heavy use.
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Last verified: July 2026
How likely is Daivio to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Daivio is an AI-powered analytics platform that enables users to explore data, create visualizations, and build machine learning models without writing code. The platform is designed for data analysts, business users, and data scientists who want to accelerate their workflows through AI assistance. It integrates with common data sources, offers natural language query capabilities, and automates insight generation. Unique features include an AI copilot for data tasks, auto-generated dashboards, and an explainable AI layer that helps users understand model decisions. The platform targets teams that need rapid prototyping and collaborative analytics across cloud and on-premise deployments.
Should you use Daivio? If you're a data professional looking to speed up routine analytics tasks and empower non-technical colleagues, Daivio is worth a try. Its AI copilot and natural language querying are particularly strong for rapid prototyping. However, heavy users may hit the free tier's query limit quickly, and the per-user pricing could deter large teams. For organizations needing advanced customizations or on-premise deployment, the Enterprise plan may be required. Overall, Daivio is a competitive option in the AI-assisted analytics space, but evaluate your scale and budget before committing.
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