Lets users ask questions in natural language, automatically generates and runs Python code in a secure sandbox, returns visualizations and insights from CSVs, databases, and APIs (up to 100M records), enabling real-time hypothesis testing, reducing reliance on analysts, ensuring GDPR/ISO compliance, and democratizing data analytics within the company.

Unlock personalized customer service and leverage intelligent discounts to boost profit margins and expand market share with AI-Powered Instant Life Time Prediction tool.

Automatically generates reports based on corporate templates, connects to CRM, ERP, and internal databases, creates charts and tables, reduces report preparation from weeks to minutes, minimizes errors, ensures compliance, and accelerates management decisions for improved business efficiency.

Automatically analyzes datasets, connects to external sources like weather, geodata, and public or commercial databases, georeferences and organizes data, supports integration via Data Lake, API, or CSV, enriches client profiles, improves risk models, reduces loss ratios, and enhances forecasting and pricing strategies.

Uses statistical models and neural networks to assess risks, calculate KPIs, create dashboards, deploy APIs, accelerate model development from months to weeks, provide explainable results, scale to millions of records, enable monthly pricing models, reduce losses, offer second opinions for actuaries, and support accurate pricing for market growth.

Automatically analyzes and normalizes tabular data, removes duplicates and errors, detects anomalies and inconsistencies, accelerates routine processes from months to hours, enables fast identification of issues, reduces losses through accurate segmentation, uncovers fraud, ensures regulatory compliance, and prepares data for new pricing models and reporting.