Natural language retrieval and analytics across your entire data stack
Agentic Data Search lets anyone in your organization query data, generate reports, and build visualizations using plain English. No SQL expertise required — just ask a question and get an accurate, traceable answer.
Ask questions in everyday language across any connected data source. The agent translates intent into precise queries and returns clear, contextual answers.
Every answer includes the underlying SQL query and auto-generated visualizations. Business users get insights; analysts get the queries to refine further.
Seamlessly join and correlate data across warehouses, databases, spreadsheets, and document repositories in a single conversational thread.
Every answer shows the complete reasoning chain — which sources were queried, what logic was applied, and how the conclusion was reached. Full auditability for regulated industries.
Link your databases, warehouses, BI tools, and document stores. The agent auto-discovers schemas, relationships, and business glossary terms.
Type a question in plain English — 'What were Q4 sales by region?' or 'Show me customers at risk of churn.' The agent handles the rest.
Inspect the generated SQL, review reasoning steps, and refine with follow-up questions. The agent maintains conversation context for iterative exploration.
Save answers as reports, export charts to dashboards, or schedule recurring queries that deliver insights directly to Slack, email, or BI tools.
Business users, executives, and analysts all get self-service access to data without waiting for the data team to build reports.
Multi-step validation, schema-aware query generation, and result verification ensure answers you can trust for decision-making.
Self-service Q&A eliminates the majority of ad-hoc reporting requests that burden data teams.
Full reasoning traceability, role-based data access, and audit logs meet the requirements of regulated industries.
Agentic Data Search combines a semantic understanding layer with a multi-engine query executor. Natural language is parsed into intent, mapped to data sources via a business glossary, and translated into optimized queries across SQL, vector, and document stores.
Every data question in the business ended up at the finance department, which had effectively become a data help desk. An intelligent Q&A agent lets business users ask in plain language and get charted answers in seconds.
A department-level knowledge base built from 200+ PDF drawings combines visual, semantic, and full-text retrieval to return the Top 3 matches with evidence.
The knowledge that resolves a ticket is scattered across implementation docs, configuration records, patch notes, SOPs and past tickets. Hand built an AI knowledge base for ERP operations on MOI, with retrieval scoped to each customer's environment and version, and answers that cite their source.
Give every team member the power to explore, analyze, and act on data with a conversational AI agent built for the enterprise.