Obviously AI

This Obviously AI review covers what the product did, its features and pricing, what happened when the company became Zams, and which tools to use instead. Obviously AI let a person with no data science background upload a spreadsheet, pick the column to predict and get working AI models in minutes instead of weeks of data science time. The company rebranded as Zams on 11 February 2025, and the old site now says it is "an archive of how it operated through 2025" (Obviously AI). If you need no-code machine learning today, read this page as the story of a tool you can learn from, not one you can sign up for. It is also a useful lesson in how fast the market can change in a year.

What is Obviously AI used for?

Obviously AI was built for business teams that wanted predictions without hiring a data science team. Typical use cases, as the archived site lists them, were classification (churn, lead conversion, loan repayment, fraud), regression (sales, dynamic pricing, yield, deal size) and time series forecasting. A sales or operations person could start from a CSV file or a connected data source, choose the outcome to predict and let the tool try many algorithm options automatically. The purpose was to save the hours a data science project normally takes and turn a question into results the same day. The archived site claims users saved 200,000 hours of work a month and cut the time to build an algorithm from four months in-house to about one minute. Those are vendor claims, not independent measurements, but they show what the tool was built for: time to value.

Key features

• No-code model building: upload data, choose the target column, and the platform picks and tunes the algorithm for you.
• Model types: classification, regression and time series forecasting.
• One-click deployment: publish a model as an instant web app or call it through a real-time REST API.
• Monitoring and workflow: model monitoring, recurring reports and automations through Zapier.
• Integrations: connections to Airtable, Dropbox, Salesforce, Power BI and Looker, according to the archived site.
• Data science support: paid plans came with a dedicated AI strategist and data scientist on chat and video.

How a model was built in Obviously AI

The workflow was short, and it is the part people still remember. You signed up with an email address, uploaded a CSV file or connected Google Drive, Airtable or a database, and picked the outcome you wanted to predict. The tool then tried each algorithm automatically, picked the best one and showed the details: accuracy, the columns that drove the result and the context behind each prediction. With one click you could share the model as a live web app or call it from your own apps, and set up recurring reports on new data. Most of the time went into cleaning the data, not into the model, and a big part of each project was deciding which outcome was worth predicting. That is still true in every AutoML tool today.

Obviously AI pricing

The old pricing page lists four tiers but no prices (Obviously AI pricing, archived):

• Free: 1,200 predictions, 1 user seat, unlimited models, 1 million rows of training data, CSV only, classification and regression.
• Startup: 1 use case, files up to 100 MB, up to 1 million rows, AI agents, RPA automations, REST APIs and model monitoring.
• SMB: 3 use cases, files up to 1 GB, up to 100 million rows.
• Enterprise: 5 use cases, files up to 10 GB, up to 250 million rows, SAML/SSO, audit trails, data residency and private cloud.

Third-party directories still quote plans "from $75 a month", but the vendor page never shows that figure, so treat it as out of date. The cost surprise now is simpler: there is nothing active to buy.

From Obviously AI to Zams

On 11 February 2025 the company introduced Zams, "the AI command center for sales" (Introducing Zams). Zams is a different product. It sells AI workers that handle sales tasks such as meeting prep, research and data enrichment across business tools, not a no-code tool for predictive machine learning. Teams take action on the results instead of spending hours on busywork. Its pricing page (September 2026) lists the Evan meeting worker at $50 a month and automation plans at $125 (Basic), $1,208 (Pro) and $1,417 (Team) a month, with 20% off billed yearly. Neither Zams page mentions AutoML or classification models, so do not expect the old Obviously AI workflow there. The founders, Nirman Dave and Tapojit Debnath, lead Zams, so the people behind the Obviously AI story are the same.

Can you do machine learning without coding?

Yes, and Obviously AI was one of the tools that made that point. No-code AutoML works for tabular business data: you still need clean data, a clear outcome and someone who checks that the results make sense. What changes is how much time it takes: hours instead of weeks. Today the same work is done in DataRobot, H2O.ai or Dataiku for business data, and in Create ML or Teachable Machine for images, sound and text.

Where Obviously AI shines — and where it falls short

Strengths (when it was active):

• Very easy start: a spreadsheet and one click produced a model, so people without data science training could use it.
• Instant web apps and REST APIs to share predictions.
• Human data science help included in paid plans.

Trade-offs:

• The no-code machine learning product is archived and no longer sold.
• Pricing was never public on the vendor page, so people had to talk to sales to learn the cost.
• Little control over the algorithm for experienced data scientists.

How Obviously AI compares

• DataRobot: enterprise AutoML and model operations, the closest active replacement for business predictions.
• H2O.ai: open-source H2O-3 plus commercial AutoML.
• Dataiku: a full data science platform with visual recipes and code.
• Alteryx: analytics automation with predictive tools for analysts.
• Create ML and Teachable Machine: free tools for image, sound and text models.

Is Obviously AI worth it?

Not anymore, because you cannot buy it. Obviously AI proved that non-technical teams can build useful prediction models from spreadsheets, and its free plan was a good way to learn. If you need that today, switch to an active AutoML platform from the list above and plan time to rebuild and test each model on the new platform. If your need has moved to sales automation, look at Zams itself. If you need help moving an old Obviously AI use case to another platform, low-code and AI developers on LowCodeDevs can take it on.

Sources

• Obviously AI: the archived product site and its statement that the company is now Zams.
• Obviously AI pricing: archived plan limits, without prices.
• Introducing Zams: the 11 February 2025 rebrand.
• Zams pricing: current Zams plans (September 2026).
• Introducing ObviouslyAI, Towards Data Science: an early independent walkthrough.