Zams

Zams (formerly Obviously AI) is a no-code predictive analytics platform that turns tabular data into production machine-learning models and automated decisions.

Overview

Zams grew out of Obviously AI, one of the pioneers of one-click machine learning for business users. Upload a spreadsheet, pick the column you want to predict — churn, conversion, default risk — and the platform trains and compares models automatically, returning accuracy metrics and explainable feature drivers. Predictions can be pushed to dashboards, exported, or triggered through API/webhook integrations so scores flow into business systems. The platform positions itself for teams that need predictive outcomes without hiring a data science staff, with enterprise governance and custom model work available.

A typical deployment starts with a spreadsheet of historical outcomes — churned accounts, paid invoices, converted leads — from which Zams trains candidate models and reports accuracy and driver analysis. Approved models publish to a scoring endpoint that feeds your CRM or app, and monitoring flags performance decay so retraining happens before predictions drift. Business users run scenario projections during planning cycles without waiting on data science queues.

Key Features

• One-click model training on tabular data with automatic algorithm selection
• Explainable results: feature importance and driver analysis for every model
• Predictions via API, webhook and export for operational workflows
• Model monitoring and retraining as new data arrives
• Scenario analysis and what-if projections for planning
• Enterprise governance: SOC 2, GDPR and HIPAA-oriented controls
• Score endpoints that feed CRM and application workflows
• Model monitoring with retraining alerts

Pricing

Zams has moved to a custom-quote model aimed at mid-market and enterprise customers; earlier self-serve plans are being phased in favor of tailored agreements that bundle model capacity, integrations and support.

Who Is It For

It suits business analysts and operations teams in lending, retail, SaaS and marketing that need churn, lead-scoring or risk models deployed quickly without building an in-house data science practice.

FAQ

Is Zams free to use?

Zams no longer publishes self-serve pricing; prospective customers request a demo and a custom quote.

Does Zams offer an API?

Yes — scoring APIs and webhooks are central to the product, letting teams embed predictions directly into applications.

How does Zams compare to alternatives?

Compared with AutoML platforms like DataRobot, Zams is lighter and faster to first prediction; compared with chat-based analysts, it produces durable predictive models rather than descriptive answers.

What data do I need to start with Zams?

You need a tabular historical dataset with a clearly defined outcome column — for example churned versus retained customers — typically a few thousand rows for reliable model training.