SQOR.ai

SQOR.ai is an autonomous decision-intelligence layer that replaces the modeling, dashboard-building and analyst hours that normally sit between a business question and its answer. Rather than asking you to build and maintain dashboards, it reads your data where it already lives — data warehouses such as BigQuery, Snowflake, Databricks, Redshift or Azure Synapse, plus the SaaS applications where operating detail lives — and returns a computed answer in seconds, reconciled to your ledger.

Its core mechanism is a proprietary KPI spawner that reads your data estate and creates the key performance indicators your data actually supports, named from your own data and anchored to your own books, across every area of the company and the relationships between areas. Beyond reporting history, SQOR.ai computes what is driving each number (causation), forecasts where it is heading (prediction) and prioritizes the actions most likely to improve outcomes (recommendation). Machine learning computes every number; the language model only explains it and never holds it, which the company says eliminates both hallucination and drift.

SQOR.ai emphasizes governance and trust: connections are read-only, it never writes to your systems, every figure traces back to its data source, calculation and logic with a computed date, and reconciliation is to the cent. It is listed on Google Cloud Marketplace and was named in two 2026 Gartner Hype Cycles (Analytics and Business Intelligence, and Data Science and Machine Learning). The site states deployments go live in about two weeks, and a data warehouse is included if you do not already have one.