CognIQ is an end-to-end Automated Machine Learning (AutoML) platform and prediction API engine designed to transform enterprise data into production-ready predictive models—without requiring manual ML pipelines. Simply connect your existing data stack (PostgreSQL, MySQL, Snowflake, Amazon Redshift, Microsoft SQL Server, or file uploads) and navigate the entire intelligence lifecycle through the CognIQ Analytics GPS: Native Data Connectors: Connect directly to OLTP databases and cloud data warehouses with encrypted-at-rest JDBC connectivity. 4-Tier Analytics Engine: Descriptive: Automated dataset profiling, schema mapping, and missing value imputation. Diagnostic: Correlation analysis, key driver identification, and SHAP-powered root-cause insights. Predictive: Automated model training, hyperparameter tuning, and model fleet management. Prescriptive: AI-generated strategy cards translating complex model metrics into executive action plans. Developer-Ready REST API: Deploy trained models instantly. Use CognIQ's developer access keys to query /v1/predict for real-time inferences directly within your own backend applications. Team & Workspace Management: Invite team members, assign RBAC permissions, and manage organization-wide prediction quotas. Whether you need instant data diagnostics or an API-backed prediction model for production apps, CognIQ bridges the gap between raw database tables and intelligent decision-making.

CognIQ

From raw data to predictive intelligence

From raw data to predictive intelligence