Infer — Features, Pricing & Insights
Screenshot of Infer

Infer

Discover what Infer is and how it brings AI-powered forecasting, sales KPI tracking, and ML-driven analytics to your CRM and SQL workflows.

Screenshot

What is Infer?

Infer is a software platform that provides insights and recommendations by integrating with the business tools you already use, including your CRM, ad platforms, email software, and data warehouses. Its core capabilities include:

  • Custom AI Forecast: Create AI-powered forecasts directly in your CRM to identify which potential customers are most likely to buy, so sales teams can focus their efforts where they’ll have the most impact.
  • Real-time Sales KPIs: Get instant alerts about key metrics like Revenue and Conversion Rates, allowing you to understand changes and adjust strategies quickly.
  • Data Connectors: Connect with major data sources to both read and write data across systems.
  • SQL Superpowers: Find insights, make predictions, and identify patterns directly within SQL.
  • Coworker AI: A data analysis tool built on the Infer platform, offering ML-driven insights and data storytelling.
  • dbt-infer: ML-powered SQL commands for dbt that help you find insights, make predictions, and recognize patterns within SQL workflows.

Who created Infer?

Infer was developed by a team at dbt. The company is known for bringing next-generation analytics to SQL through ML-powered commands that let users find insights, make predictions, and identify patterns within SQL, simplifying analytics processes for its users.

Who is Infer for?

  • Sales Representatives
  • Analysts

Why use Infer?

Infer is useful if you want to bring prediction and analysis into your existing sales and data workflows. Sales representatives can use AI forecasts to prioritize the most promising leads and monitor KPIs like Revenue and Conversion Rates in real time. Analysts can use the SQL integration and dbt-infer to run ML-powered analysis—finding insights, making predictions, and spotting patterns—without leaving their SQL environment.

If you’ve used Infer, sharing your experience through a review can help other users understand what works well and what could be improved.

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