Description
SQOR.ai is a decision-intelligence platform built for companies that want answers to business questions without building a dashboard first. Instead of a person assembling a chart and interpreting it, a user asks a question in plain language and the platform computes the answer from the company's own data, reconciled to its ledger.
Read More
The product connects to a data warehouse first, including BigQuery, Snowflake, Databricks, Redshift or Azure Synapse, and includes a warehouse of its own for companies that don't have one. It also reads SaaS applications directly, pulling in deals, tickets, orders, shifts and campaigns alongside the warehouse data. Everything is read-only: SQOR.ai never writes back to a company's systems. A proprietary KPI spawner scans the connected data and builds the key performance indicators that data actually supports, named from the company's own columns and tied back to the ledger, rather than applying a fixed template of generic metrics.
Machine learning computes and reconciles every figure to its source; a language model only explains the number afterward and cannot invent or alter it, which is how the platform avoids hallucinated figures and keeps the same question returning the same answer over time. On top of the reconciled numbers, a set of AI agents run continuously: they explain what is driving a metric, forecast where it is heading, generate and score recommended actions, and flag what needs attention before a person has to ask. Every figure traces back to its data source, its calculation and the date it was computed.
SQOR.ai is built for private equity and venture firms that want a live view across a portfolio of companies without asking each one to standardize its chart of accounts first, as well as for company executives and senior operators who want an answer to a business question without waiting on an analyst. It is listed on Google Cloud Marketplace and has been named in two 2026 Gartner Hype Cycles, for Analytics and Business Intelligence and for Data Science and Machine Learning. The company states deployment is possible within days once a data warehouse or application is connected, without a modeling project or new infrastructure. Pricing is not published on the site and requires booking a demo.
- CategoryAI Data Analysis
- Pricing ModelContact sales
- DeploymentCloud
- PlatformsWeb
SQOR.ai's Core Features
Plain-language Q&A: ask a business question and get a computed answer, not a dashboard to build
Automatic KPI spawner that builds metrics from a company's own connected data
Read-only connections to data warehouses (BigQuery, Snowflake, Databricks, Redshift, Azure Synapse) and SaaS applications
Every figure reconciled to the company's ledger before it is shown
Built-in data warehouse included for companies that don't run one
AI agents that explain what drove a metric, forecast where it's heading, and recommend actions
Cross-company portfolio view for private equity and venture investors
Auditable outputs: every number traces to its source, calculation and computation date
Listed on Google Cloud Marketplace
How to use SQOR.ai?
Connect your data: link a data warehouse (BigQuery, Snowflake, Databricks, Redshift, Azure Synapse) or SaaS applications with read-only access
Let SQOR build the KPI layer: the platform scans your data and generates the metrics it supports, reconciled to your ledger
Ask a question: type a business question in plain language
Review the reconciled answer: see the number, its source and the calculation behind it
Explore causes and forecasts: read the AI agents' explanation of what drove the number and where it's heading
Act on recommendations: review and prioritize the actions the platform suggests
SQOR.ai's Use Cases
- Portfolio monitoring
- Executive Q&A
- Variance explanation
- Finance close support
