Obviously AI

Obviously AI is a no-code predictive analytics tool for people who want to build models from structured data without writing model code. It suits individuals exploring prediction and teams that need to share predictions or connect them to existing workflows, but CSV input and a tightly capped free tier limit its reach.

Overview

Classification, regression, and time-series prediction cover several common modeling needs. Models can be shared through instant web apps, connected to other applications through real-time REST APIs, or used in workflows that combine automatic monitoring with Zapier automations. That makes Obviously AI more than a modeling interface, though it still depends on having suitable structured data to start with.

Key features

Modeling and data

The product is built to turn raw data into predictive models without code. Its recommended starting point—at least 1,000 rows and five columns—sets a meaningful bar for small or sparse datasets. File imports are CSV, so organizations whose data is not readily available in that format will need another way to prepare it. The Free plan also caps uploads at 10 MB.

Sharing and integrations

Instant web apps provide a dynamic link for real-time model use, a practical option for sharing predictions without building a separate interface. REST APIs can integrate predictions into apps and send prediction data to tools such as Power BI and Looker. Listed integrations include Amazon Redshift, Google BigQuery, Google Drive, HubSpot, Shopify, Snowflake, Tableau, and Zapier. This breadth is useful for workflows spanning data storage, business tools, and automation; the value depends on whether the services a team uses are among those supported.

Security

Obviously AI states that it has a SOC 2 Type II report, complies with GDPR data-retention requirements, and is HIPAA compliant. It says data in transit uses TLS encryption and customer data at rest uses AES-256. These are relevant assurances for organizations handling sensitive information, alongside their own compliance and security requirements.

Pricing

The pricing model is freemium. The Free plan costs nothing and includes 1,200 predictions, one user seat, unlimited models, up to 1M rows of training data, CSV-only input, files up to 10 MB, and up to 10,000 rows of data. Email support is included. It is aimed at individuals, hobbyists, and non-profits; the single seat and prediction allowance make it better for individual evaluation than a shared or sustained production workflow.

The Enterprise Plan has custom pricing. It supports up to five use cases, files up to 10 GB, and up to 250 million rows of data. Paid plans include a dedicated AI strategist, dedicated data scientist, video call, and chat support. The larger file and data limits suit bigger deployments, but the plan's use-case cap and custom pricing are important considerations for teams comparing scale and cost.

Platforms

Obviously AI is available on the web. That keeps access browser-based; the listed platform coverage does not include desktop or mobile apps.

Who it's for

Obviously AI is a reasonable fit for individuals and small teams with structured, CSV-ready data who want to create common prediction models and share results by link or API. Larger organizations may value the Enterprise Plan's higher data and file limits, integrations, and dedicated support. It is a poor fit for projects built around unstructured data, non-CSV imports, or teams that need multiple seats on the free tier.

Pros and cons

• Pros: Classification, regression, and time-series use cases address several common predictive tasks without requiring model code.
• Pros: Web apps, REST APIs, and integrations offer distinct ways to distribute predictions and connect them to existing workflows.
• Pros: The Free plan includes unlimited models and up to 1M rows of training data, giving individuals room to explore within its other caps.
• Cons: Structured data is required, CSV is the stated import format, and the free upload limit is 10 MB.
• Cons: The Free plan allows one user and 1,200 predictions, restricting shared or ongoing use.
• Cons: Enterprise pricing is custom, so buyers cannot compare its cost from a fixed published rate.

Alternatives

For broader options, browse Predictive Analytics Software, AutoML Software, Augmented Analytics Software, or AI Data Analysis Tools.

• Julius AI is another freemium option, with Android, iOS, and web access and a free tier that includes daily credits and a Google Drive connector.
• Databricks Notebooks offers a free web edition with one serverless workspace and limited compute size and usage; consider it if that workspace-and-compute model better matches the project.
• Hex has a free Community plan with data-source connections, all cell types, small compute, and an agent trial, plus a paid Professional plan at $36 a month.
• Zoho Analytics has a free plan for two users, 10,000 rows, and five workspaces, which may suit a small analytics setup with those limits.
• Predict.ai offers a free plan with 500 credits per month, one workspace, one seat, one goal per workspace, one shared deployment, and 1 GB of monthly ingestion.
• Vizly has a free plan capped at zero messages per month and a Basic plan at $19.99 a month for up to 200 messages.
• disy Cadenza is a paid option with a free trial and pricing on request.
• Pyramid Analytics offers a free Community Edition for three users; its Standard Edition is for 30 users on a single server.

Verdict

Choose Obviously AI if you have structured, CSV-ready data and want to build and share classification, regression, or time-series predictions without writing model code. Its strongest case is the combination of web-app sharing, APIs, and integrations; look elsewhere if you need non-CSV imports, more than one free seat, or a known enterprise price before committing.