obviously-ai

obviously-ai

Obviously AI is a no-code predictive analytics platform that turns tabular data into production-ready machine learning models in minutes, with one-click deployment, real-time APIs, and integrations for business users and analysts.

obviously-ai is nocode / lowcode software teams evaluate for nocode / lowcode. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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#74 in NoCode / LowCode (74 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: NoCode / LowCode

What it does

NoCode / LowCode software for decision-makers comparing workflow fit and alternatives.

Best fit

NoCode / LowCode

Pricing snapshot

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obviously-ai

Obviously AI is a no-code machine learning platform focused on predictive models from tabular data. It is designed to let business users and analysts build classification, regression, and time-series models in minutes without programming or a data science team. The platform emphasizes rapid time-to-value (minutes instead of months), one-click deployment via instant web apps, and real-time REST APIs to integrate predictions into existing workflows.

Enterprise platform to build AI agents for back-office automation and predictive models.

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Key Features

Model Building

Ground-breaking AI models built in minutes with a no-code interface to turn raw tabular data into predictive models quickly.

Model Deployment

Get your AI models to production in just one click with instant web apps that share a dynamic link to use the model in real time.

Model Monitoring & Automations

Automatic model monitoring combined with if-this-then-that automations via Zapier to trigger actions based on prediction probabilities.

Integration & Sharing

Real-time REST APIs for making predictions on the fly and visualizing prediction data in tools like PowerBI and Looker.

Expert Support

Access to a dedicated data scientist and support to help with data merging, enrichment, cleaning and other statistical work.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Classification

Predict churn, lead conversion, loan repayment, fraud detection and other categorical outcomes from tabular data.

Regression

Predict numeric outcomes such as sales, dynamic pricing, yield, deal size, and costs.

Time Series

Predict values over time such as future sales or stock price at a specific date.

Industry Examples

Customer stories include Creditt predicting loan repayment to reduce processing time by 5X, Sound Agriculture predicting yield, and Max Van Trading predicting stock price.

Integrations

Zapier

Enables automations (if-this-then-that) triggered by model predictions.

Airtable

Integrate tabular data storage and workflows for predictions.

Dropbox

Connect file storage for datasets and model outputs.

Salesforce

Integrate predictions into CRM workflows.

Power BI

Visualize prediction data inside Power BI reports and dashboards.

Looker

Visualize and analyze prediction outputs in Looker.

Benefits

Fast time-to-value: build predictive models in minutes rather than months.
No-code: no programming or data science background required to create models.
Production-ready deployment: one-click web apps and real-time APIs for integration.
Pre-built integrations and automations with tools like Zapier, Airtable, Dropbox and Salesforce.
Expert support: access to dedicated data science assistance and help center resources.
Documented time savings: the site states Obviously AI has saved 200K hours of time each month.

Limitations

Platform is focused on tabular data ("Predict anything from tabular data").
Site content indicates the page is archived and the product has rebranded: "ArchivedObviously AI is now Zams. This site is an archive of how it operated through 2025."

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Visit the Obviously AI site and click Get Started / Try for free.
  2. 2 Step 2: Upload or connect your tabular dataset and specify the prediction target.
  3. 3 Step 3: Build a model with a few clicks, then deploy via an instant web app or the real-time REST API.

Support

Docs

Help Center and Knowledge Base available from the site for advice and answers.

API Docs

API Docs are listed on the site for developer integration.

Dedicated support

24x7 access to a dedicated data scientist as described on the product pages.

Status Page

A status page is listed on the site for operational updates.

API

Available: Yes
Documentation:

API Docs are available from the site (link: API Docs listed in page navigation).

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