SQOR.ai

SQOR.ai is a decision-intelligence platform that connects to a company's existing data systems with read-only access and returns answers to business questions in natural language, along with predictions, recommendations and analysis. It positions itself as an autonomous decision layer that replaces the data modeling work, dashboard building and analyst hours that ordinarily sit between a question and an answer. The company states that answers begin within days of connecting a data warehouse or applications, without a modeling project or new infrastructure, and that it provides a warehouse for customers that do not already have one.

The platform reads from warehouses including BigQuery, Snowflake, Databricks, Redshift, Azure Synapse and general SQL estates, alongside SaaS applications holding operating detail such as deals, tickets, orders, shifts and campaigns. A proprietary "KPI spawner" reads the data estate and generates key performance indicators named from the customer's own data and anchored to its ledger, across functional areas and the relationships between them. Beyond descriptive reporting, SQOR.ai markets three output categories: causation (drivers and dependencies behind metric movement), prediction (forecasts, emerging risks and leading indicators) and recommendation (prioritized actions).

Solutions are packaged for private equity and venture investors, executives and senior operators. For investors, the company presents a live cross-portfolio view that conforms each portfolio company's data to a single model rather than requiring the companies to standardize their charts of accounts first.

Founding story

Founder and CEO Lazaro (Laz) Fuentes built SQOR after a decade leading turnarounds for private equity and venture capital firms at companies including Warner Bros., YouGov and Vertro, where he repeatedly observed leadership teams spending heavily on data infrastructure yet unable to answer basic questions about their businesses. He productized the processes he had used in those engagements. Previously a three-time entrepreneur who built and exited VC-funded and public companies, he was earlier an investment banker at Smith Barney and Salomon Brothers, began his career as an enlisted U.S. Army soldier and became an Infantry officer and Company Commander in the 10th Mountain Division, and holds a degree in Philosophy, Economics and Political Science from Columbia University.

Business model

SQOR.ai sells a software platform to enterprises and investment firms, with a published pricing page and a book-a-demo sales motion. It is listed on Google Cloud Marketplace, where customers can apply existing Google Cloud credits toward the product.

Latest developments

SQOR.ai was named in the Gartner Hype Cycle for Data Science and Machine Learning in May 2026 and the Gartner Hype Cycle for Analytics and Business Intelligence in July 2026, with a founder profile stating Gartner placed the company in the report's "transformational" categories.