Alkemi is an AI data teammate that operates within Slack, designed to bridge the gap between data and decisions by bringing powerful analytics directly into the communication platform where decisions happen. It enables teams to access insights without leaving their workflow.

The product allows users to ask questions in plain English and receive charts, summaries, and answers instantly. It connects to trusted business data sources like Snowflake, HubSpot, BigQuery, and Databricks. Alkemi converts these data sources into structured, agent-usable functions to provide reliable responses.

Under the hood, Alkemi uses conversational AI to interpret natural language queries and generate accurate analytics outputs. The approach focuses on eliminating the need for dashboards, backlogs, or manual data requests by integrating directly with Slack.

The benefits include making data-driven decisions faster and more accessible to everyone in the company. Use cases involve asking questions such as how to reallocate marketing spend, what drove pipeline last week, or identifying products with untapped revenue potential.

Target users are teams within companies that want to improve decision quality by having instant access to data insights. It integrates with Slack and data platforms like Snowflake, HubSpot, BigQuery, and Databricks.