Sequel

Sequel is an artificial intelligence data analyst designed to function as an integral member of a team, enabling any user to retrieve, visualize, and interpret business data through natural language questions. The platform operates across a wide range of data sources, including relational databases, analytics platforms, spreadsheets, and over one hundred third-party integrations and Model Context Protocol (MCP) servers. Instead of requiring users to write SQL queries, navigate complex dashboards, or wait for a data team, Sequel accepts plain English questions—such as “What’s my revenue?” or “Show me the pipeline win rate by month”—and returns instant answers directly within collaborative channels like Slack. Each answer can include numerical summaries, charts, and follow-up suggestions, mimicking the behavior of a human teammate who not only provides the data but also initiates further discussion. The system distinguishes itself through its self-learning agents, which continuously adapt to a team’s specific vocabulary, recurring queries, and data collaboration patterns. As team members ask questions and interact with the results, Scopus learns which metrics matter most, how the team prefers to segment data (e.g., by customer region, product line, or time period), and which visualizations are most helpful for decision-making. These agents examine both the underlying data schema and the historical usage patterns—like which questions are asked repeatedly, how results are shared, and how users refine their requests—to improve accuracy over time without manual configuration. Sequel can be dropped into multiple communication channels simultaneously. In a Slack workspace, for instance, it joins sales, marketing, finance, product, and growth channels, responding in threaded con