Atmo AI vs Zams (formerly Obviously AI)

In the face-off between Atmo AI vs Zams (formerly Obviously AI), which AI Data Science tool takes the crown? We scrutinize features, alternatives, upvotes, reviews, pricing, and more.

In a face-off between Atmo AI and Zams (formerly Obviously AI), which one takes the crown?

If we were to analyze Atmo AI and Zams (formerly Obviously AI), both of which are AI-powered data science tools, what would we find? Both tools have received the same number of upvotes from aitools.fyi users. Join the aitools.fyi users in deciding the winner by casting your vote.

Disagree with the result? Upvote your favorite tool and help it win!

Atmo AI

Atmo AI

What is Atmo AI?

Atmo AI builds deep learning weather forecasting systems for governments, militaries, and large enterprises that need sharper predictions than legacy numerical models deliver. The company ingests real-time data from satellites, ground stations, radars, and ocean buoys, then runs neural network models that cover nowcasts out to 14-day medium-range outlooks. It sits in the data science stack for organizations where a missed storm or wind shift has operational consequences, not just a ruined picnic.

Where traditional numerical weather prediction leans on supercomputers and fixed grid resolutions, Atmo claims forecasts up to 40,000 times faster and up to 50% more accurate on major variables, with grids as fine as 1 km by 1 km for microclimate detail. That resolution gap matters for launch sites, island nations, and defense bases where a county-level forecast hides the local wind shear. The trade-off is access: Atmo sells custom deployments, not a consumer app you open for tomorrow's rain.

National weather agencies, defense commands, and enterprise risk teams use Atmo when they need site-specific forecasts backed by live production contracts. Deployments cited on Atmo's site include the U.S. Air Force, U.S. Navy, the Philippines national government, Cape Canaveral launch operations, and Tuvalu's national forecasting rollout.

Zams (formerly Obviously AI)

Zams (formerly Obviously AI)

What is Zams (formerly Obviously AI)?

Obviously AI rebranded to Zams in February 2025. The original no-code data science platform that built classification, regression, and time-series models from CSV uploads in minutes is now archived at obviously.ai. The live product at zams.com is an AI worker platform for sales and revenue teams.

The archived Obviously AI product targeted analysts who needed churn prediction, lead scoring, and dynamic pricing without Python. Zams pivoted entirely to named AI workers like Evan for meeting prep and Atlas for CRM hygiene, connected to Salesforce, HubSpot, email, and calendar through plain-English commands rather than model-building dashboards.

Revenue teams evaluating sales automation are the current audience. Evan starts at $50 per month for meeting intelligence, while the automation platform Basic plan runs $125 per month with 1,000 agent tasks. The free tier on the archived site offered 1,200 predictions for hobbyists, but new signups route to Zams.

Atmo AI Upvotes

6

Zams (formerly Obviously AI) Upvotes

6

Atmo AI Top Features

  • Pulls real-time weather data from satellites, ground stations, radars, and ocean buoys worldwide

  • Delivers forecasts up to 40,000 times faster than traditional numerical weather models

  • Reports up to 50% higher accuracy on major variables from 24-hour nowcasts to 14-day outlooks

  • Resolves microclimates with grid detail down to 1 km by 1 km

  • Runs live production deployments for the U.S. Air Force, Navy, and Philippines national government

Zams (formerly Obviously AI) Top Features

  • Archived Obviously AI built classification, regression, and time-series models without code in minutes

  • Zams AI worker Evan delivers meeting briefs for $50 per month

  • Automation platform Basic plan at $125 per month includes 1,000 agent tasks

  • Connects to Salesforce, HubSpot, Slack, email, calendar, and Drive in plain English

  • Dedicated data scientist support was available on paid Obviously AI plans

  • One-click model deployment with REST APIs and Zapier automations on the legacy platform

Atmo AI Category

    Data Science

Zams (formerly Obviously AI) Category

    Data Science

Atmo AI Pricing Type

    Paid

Zams (formerly Obviously AI) Pricing Type

    Paid

Atmo AI Technologies Used

jQuery
Webflow
Cloudflare
Amazon CloudFront
Google Cloud
Google Fonts
Font Awesome
GSAP
Laravel
Ruby
Styled Components
Tailwind CSS

Zams (formerly Obviously AI) Technologies Used

jQuery
Webflow
Cloudflare
Amazon CloudFront
Amazon Web Services
Google Cloud
Google Fonts
Font Awesome
Python
Ruby
Vimeo
GitHub
Styled Components
Tailwind CSS

Atmo AI Tags

Weather Forecasting
Deep Learning
Meteorology
Microclimate Modeling
Government Weather Systems
Defense Forecasting
AI Meteorology
Forecasting Technology

Zams (formerly Obviously AI) Tags

No-Code ML
Predictive Analytics
AI Workers
Sales Automation
CRM Integration
Meeting Intelligence
Machine Learning
Data Analysis
By Rishit