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Obviously AI review

Build and deploy predictive models from structured data without writing code.

5.8/10Editor score
Obviously AI5.8 Visit Obviously AI

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Obviously AI is a no-code predictive analytics platform for business users and analysts who want to build models from structured data. It supports classification, regression, time-series, and clustering, with CSV imports and database dataset connections. Models can be deployed as web apps or accessed for predictions through a REST API. That makes it suited to teams seeking predictive modeling and deployment without writing code, rather than a broad general-purpose data-analysis environment.

The plans scale by use cases, file size, and data volume. Free includes unlimited models, 1,200 predictions, one user seat, up to 1 million rows of training data, and CSV files up to 10 MB. Startup allows one use case, files up to 100 MB, and up to 1 million rows, and includes a dedicated AI strategist, data scientist, and video call and chat support. SMB raises the limits to three use cases, 1 GB of files, and 100 million rows, adding SAML/SSO, logging and audit trails, and custom data sources. Enterprise allows five use cases, 10 GB of files, and 250 million rows, with private cloud setup, data residency, and custom data sources. The published plans show no monetary prices, so buyers should compare feature and capacity limits directly.

Its practical scope extends beyond model building: monitoring, automation workflows, dashboards, AI agents, custom LLMs, RPA automations, and recurring reports are listed features. Zapier, Power BI, and Looker integrations connect it to other tools, while web and API access support deployment choices. Buyers who need a no-code path from structured data to predictive models, with monitoring and automation, should consider it. Teams looking for broader general data-analysis capabilities may prefer a tool centered on that wider scope; Obviously AI’s defined emphasis is prediction modeling and related workflows.

Obviously AI pros and cons

  • Where it wins
    • Build classification, regression, time-series, and clustering models without code
    • Deploy models as web apps or access predictions through a REST API
    • Monitor models and automate workflows, reports, and prediction sharing
  • Where it doesn't
    • The Free plan is limited to CSV files up to 10 MB
    • Free includes 1,200 predictions and one user seat
    • Free supports CSV imports, while custom data sources appear on higher tiers

Obviously AI fact sheet, pricing and score →

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