Is Obviously AI worth it for business analysts?

Yes, if you work with tabular data and need quick predictions without coding. The free tier gives you 1,200 predictions and 1M rows for training, so you can evaluate before paying. The dedicated data scientist on paid plans is a big plus for guidance.

Does Obviously AI integrate with Salesforce?

Yes, Obviously AI lists Salesforce as one of its integrations for data import/export and supercharging your services. The platform also integrates with Zapier, Airtable, and Dropbox, plus it offers REST APIs for custom integrations.

How does Obviously AI compare to DataRobot?

Obviously AI is no-code and focused on tabular data with a software-plus-data-scientist bundle, while DataRobot is a more comprehensive enterprise ML platform. Obviously AI is easier for non-coders and faster to deploy, but DataRobot offers more advanced customization and supports larger-scale production.

What's the cheapest Obviously AI tier?

The Free tier at $0/month is the cheapest, offering 1,200 predictions, 1 user seat, and unlimited models. Paid plans (Startup, SMB, Enterprise) are contact-sales only, so you'll need to talk to sales for pricing.

What are Obviously AI's biggest limitations?

It only supports tabular (CSV) data—no images, text, or audio. The free tier limits file sizes to 10 MB and 10,000 rows for processing. Paid plan pricing is not transparent; you must contact sales. There's no support for custom model architectures or hyperparameter tuning.

Can Obviously AI replace a data scientist?

It can replace a data scientist for building standard classification, regression, and time-series models from tabular data, but you still get a dedicated PhD data scientist on paid plans to help with data prep and tuning. For complex, unstructured data projects, you'll still need a human expert.

How long does Obviously AI take to set up?

You can build your first model in under 5 minutes by uploading a CSV and selecting the target variable. Full deployment to a web app or API can happen within a day. The platform emphasizes 'from data to production in one day.'

How do I migrate from your existing ML tool to Obviously AI?

Since Obviously AI is now Zams, you should contact their support for migration assistance. If you're coming from a traditional ML tool, you can simply upload your training CSV and rebuild models quickly using the no-code interface.

Is Obviously AI good for lead scoring?

Yes, Obviously AI lists lead conversion prediction as a primary use case. You can upload CRM data, build a classification model to score leads, and set up Zapier automations to act on high-probability predictions.

Is Obviously AI still active in 2026?

Yes — Obviously AI is active in 2026, with a liveness score of 87/100 (healthy) as of August 14, 2026. 1 secondary page (on obviously.ai) failed our last link check.

Data & Analytics

Obviously AI

No-code predictive AI for classification, regression, and time-series from tabular data

87/100Safe BetFree planFreemium

A solid no-code ML platform for structured data, especially if you want a dedicated data scientist in your corner. The free tier is generous, but for teams needing deep customization or support for unstructured data, look elsewhere.

Verified 1d ago · liveness 87/100 · cite: rightaichoice.com/tools/obviously-ai

Best for

Business analysts building predictive models from tabular data without coding
Sales and marketing ops predicting lead conversion, churn, and customer lifetime value
Non-technical teams needing a dedicated data scientist for guidance and model tuning
Small to medium businesses running classification or regression on datasets under 100 million rows

Not ideal for

Teams requiring support for unstructured data (images, text, audio)
Organizations needing custom model architectures or hyperparameter tuning
High-volume production use with millions of predictions per month (free tier limited)

Visit Website

Beginner-friendlyBusiness analysts: first model in under 5 minutes, full integration with web app and API within a day. Sales ops: lead scoring model ready in a day, including Zapier automation setup. Non-technical teams: with the dedicated data scientist on paid plans, you can get guidance on data prep and model tuning in your first week.WebAPI available6.2k viewsVerified 1d ago

Pricing

Free plan

FreemiumFree tier4 plans5 hidden costs

Learning curve

Beginner-friendly

Business analysts: first model in under 5 minutes, full integration with web app and API within a day. Sales ops: lead scoring model ready in a day, including Zapier automation setup. Non-technical teams: with the dedicated data scientist on paid plans, you can get guidance on data prep and model tuning in your first week.

Runs on

Web

API available · 4 integrations

Who it's for

Business AnalystSales Operations ManagerE-commerce Inventory Planner

Live sentiment

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Skip it if

Skip Obviously AI if you need to work with unstructured data like images, text, or audio, or if you require deep customization of model architectures—this platform is strictly for structured, tabular datasets.

The 30-second take

Biggest gripe

The free tier limits file uploads to 10 MB and 10,000 rows for processing, so larger datasets will require a paid plan.

Price reality

Obviously AI's free tier is generous for tinkering, but paid plans are contact-sales only, so budgeting is opaque. For small teams, the free tier is a low-cost entry, while comparable tools like DataRobot or H2O.ai often have higher starting prices. If you need transparent self-serve pricing, consider alternatives.

In short

Obviously AI — No-code predictive AI for classification, regression, and time-series from tabular data. Best for Business analysts building predictive models from tabular data without coding, Sales and marketing ops predicting lead conversion, churn, and customer lifetime value, Non-technical teams needing a dedicated data scientist for guidance and model tuning. Free to use.

Viability Score

87/100

Safe Bet

How well maintained and how widely used is Obviously AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity

not measured

Traction

not measured

Site health

User sentiment

not measured

What the vendor publishes

Last calculated: August 2026

How we score →

Key Features

No-code model building for classification, regression, time-series, clustering
One-click model deployment to dynamic web apps
REST API for integration into apps and dashboards
Automated model monitoring with alerting
RPA automations triggered by prediction thresholds (Zapier-like)
Dedicated PhD data scientist on paid plans
Model finetuning and retraining
AI agents for automated decision-making
Custom LLM support
Up to 250 million rows data processing (Enterprise)
Support for CSV data only (no images, text, audio)
SAML/SSO, logging, audit trails (Startup and above)
Private cloud deployment (Startup and above)
Data residency options (Startup and above)
Recurring reports and model dashboard

About Obviously AI

FreemiumBeginner-friendlyAPI availableWeb

Obviously AI (archived as of 2025, now Zams) is a no-code machine learning platform that lets business analysts, sales ops, and data scientists build predictive models directly from tabular data in minutes — no coding required. The platform covers classification, regression, and time-series forecasting, enabling use cases like lead conversion prediction, fraud detection, dynamic pricing, and churn analysis. Core features include one-click model building, instant deployment via dynamic web apps or REST APIs, automated model monitoring, and RPA-style Zapier automations triggered by prediction thresholds. A dedicated data scientist is available for guidance on data preparation, model finetuning, and integration. Unlike traditional ML platforms that require months of DevOps, Obviously AI emphasizes extreme speed to value: the vendor claims users can go from raw CSV upload to a production-ready AI model in a single day. The platform supports up to 50 million rows and 100 MB of data on the free tier, with enterprise plans handling up to 250 million rows. Integrations include Zapier, Airtable, Dropbox, and Salesforce for data import/export. Positioned against tools like DataRobot or H2O.ai, Obviously AI targets non-coders who need quick predictions without sacrificing accuracy. Its software-plus-data-scientist bundle differentiates it from fully automated alternatives — users get human support for data cleaning and model tuning. For teams that already have strong internal data science expertise, a pure automation tool might be more cost-effective. While the platform is powerful for tabular data, it does not support image, text, or video data — it is strictly for structured datasets. The free tier offers 1,200 predictions and 1 million rows of training data, making it a low-risk entry point for individuals and small teams. Pricing scales from free to enterprise contact, with a Startup plan at an undisclosed price.

Behind the Verdict

Obviously AI shines when you need fast predictions from tabular data without writing code. The free tier is unusually generous—1,200 predictions, 1 million rows of training data, unlimited models—making it a low-risk way to test the waters. The software-plus-data-scientist bundle is a standout: you get a PhD-level data scientist on paid plans who can help with data cleaning, merging, and model tuning, which is a huge value if you lack in-house ML expertise. Strengths include one-click model deployment to web apps and REST APIs, so you can get models into production quickly. The integration with Zapier enables threshold-based automations (e.g., if probability > 80%, trigger an action). Monitoring and recurring reports help keep tabs on performance. Weaknesses: It's strictly tabular—no image, text, or audio support. The free tier is capped at 10 MB files and 10,000 rows of data for processing, which may be limiting for anything beyond small datasets. Pricing for paid plans is contact-sales only, so you can't self-serve a quote. For teams with strong data science skills, a more customizable tool like DataRobot or H2O.ai might offer better value. Also, since the company is now archived as Zams, you should verify the current status before committing. Where it fits: small to medium businesses, sales and marketing ops, non-technical analysts. Where it doesn't: enterprises needing deep customization, unstructured data handling, or budget predictability.

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Real-world workflow fit

Concrete scenarios for the personas Obviously AI actually fits — and what changes day-one when you adopt it.

Business Analyst

You have a CSV of customer churn data and need to predict which customers are likely to churn next month.

Outcome: Upload the CSV, select 'Churn' as the target, and let the platform auto-build a classification model. Get predictions in a dynamic web app and share the link with stakeholders.

Sales Operations Manager

You want to prioritize leads by conversion probability before your reps reach out.

Outcome: Feed your CRM lead data into the platform, build a lead-scoring model, and set up a Zapier automation to trigger follow-up actions when probability exceeds 80%.

E-commerce Inventory Planner

You need to forecast next month's stock levels to avoid overstocking or stockouts.

Outcome: Upload historical sales data, choose time-series forecasting, and generate predictions. Use the REST API to visualize results in PowerBI or Looker.

Use Cases

Sales rep predicts lead conversion probability before reaching out, prioritizing high-fit prospects.
RevOps manager automates CRM data cleanup with AI agents that interpret plain English commands.
Account manager gets real-time alerts when a target account shows hiring or funding changes.
E-commerce business uses dynamic pricing to adjust product prices based on real-time demand forecasts.
Micro-lending company predicts loan repayment risk in minutes, cutting processing time by 5X.
Inventory planner forecasts future stock levels to avoid overstocking or stockouts.

Limitations

Obviously AI is a no-code predictive AI platform designed for tabular data, supporting classification, regression, and time series.
It offers integrations with various tools and one-click model deployment.
The site is archived as the tool is now Zams.

as of 2026-08-14

Verification history

We have re-verified Obviously AI 16 times since May 21, 2026. Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

Aug 21, 2026 — re-checked, vendor evidence unchanged
Aug 14, 2026 — re-checked, vendor evidence unchanged
Aug 6, 2026 — re-checked, vendor evidence unchanged
Jul 30, 2026 — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Jul 23, 2026 — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Jul 5, 2026 — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 16 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Plan

Annual total

Free

Over 12 months

Effective monthly

Free

Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Obviously AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/mo

Ideal for

Individuals, hobbyists, and non-profits who want to test the platform with up to 1M rows of training data and 1,200 predictions.

What this tier adds

This is the free entry point with 1,200 predictions, 1 user seat, unlimited models, and 1M rows of training data, but limited to 10 MB files and 10,000 rows for processing.

Startup Plan

Contact sales

Ideal for

Startups with a single use case who need a dedicated AI strategist and data scientist for guidance and support.

What this tier adds

Adds dedicated support, SAML/SSO, audit trails, and allows up to 100 MB files and 1M rows of data, in addition to full software access.

SMB Plan

Contact sales

Ideal for

Small to medium businesses scaling to 3 use cases with larger datasets (up to 1 GB files and 100M rows) and need more capacity.

What this tier adds

Expands to 3 use cases, 1 GB files, and 100M rows, with the same dedicated support and governance features.

Enterprise Plan

Contact sales

Ideal for

Large enterprises requiring up to 5 use cases, high-volume data processing (up to 250M rows), and advanced security.

What this tier adds

Offers up to 5 use cases, 10 GB files, 250M rows, with enterprise-grade security, customization, and dedicated support.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

The free tier limits file uploads to 10 MB and 10,000 rows for processing, so larger datasets will require a paid plan.
Predictions are counted per row processed; heavy API or batch usage can quickly exhaust your quota, potentially incurring overage costs.
Paid plans (Startup, SMB, Enterprise) require contacting sales for pricing, so you won't see a transparent price until you engage with the vendor.
Features like SAML/SSO, custom data sources, and private cloud are only available on paid plans, which could drive up costs for security-conscious teams.
Overage beyond the free tier's 1,200 predictions may require upgrading to a paid plan, adding unexpected expenses.

Where the pricing makes sense

The company stage and team size where Obviously AI's pricing actually pencils out — and where peers do it cheaper.

Setup time & first value

How long it actually takes to get something useful out of Obviously AI — broken out by persona, not the marketing-page minute.

Switching to or from Obviously AI

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in

→From Excel/Sheets: Upload CSV directly; no migration needed, just import your tabular data.
→From legacy ML tools: Since the platform is no-code, you can rebuild models quickly by uploading the same training data and configuring the target variable.

Migrating out