Golden Analytics

Agentic analytics platform with the Spotter natural-language agent.

An enterprise analytics platform built around search and AI. Its Spotter agent lets users ask questions in natural language and get governed answers on live data, reasoning through each step and checking its own work via a semantic layer. Also ships specialized agents for modeling, visualization, and code, with embeddable governed analytics.

Agentic notebooks that let any team explore data in natural language with inspectable SQL.

Querio is a data platform built around agentic notebooks: teams and customers ask questions in natural language and Querio's agents generate the SQL and Python to answer them, with every query visible and editable. It connects to multiple data sources, integrates with Slack, and can embed analytics into customer-facing applications for users of any technical level.

AI-assisted self-service BI built on a programmable, governed semantic layer.

Holistics is a business intelligence platform that lets data teams define centralized metrics and modeling logic in a programmable semantic layer, then lets business users explore the data through AI queries or point-and-click without writing SQL. Its AI reasons over the governed semantic layer — generating AQL (Analytics Query Language) rather than raw text-to-SQL — so answers stay grounded in defined metrics, with lineage, multi-turn context, and Git-based version control for analytics-as-code.

Agentic analytics notebook for SQL, Python, and R data teams.

A collaborative data workspace combining SQL, Python, and R notebooks with shareable data apps. Its Notebook Agent and Magic AI generate queries, debug code, run exploratory analysis, and build visualizations as editable notebook cells. Built for data teams that need reproducible, governed analysis rather than one-off chat answers.