Analysts spend 30‑50% of their time fielding ad‑hoc questions. Business teams wait—a lot. Static charts can't explore variance, causality, or the inevitable "why?".
Context switching from BI to SQL slows insight cycles
Complex schemas hide key metrics from non‑technical users
Data dictionaries and lineage docs are scattered or outdated
Unstructured notes & PDFs remain dark to traditional BI
Translate plain English to optimised SQL for Databricks, Snowflake, or BigQuery—respecting row‑level security.
Blend structured KPIs with unstructured docs (PDFs, slides, Confluence) for holistic answers & citations.
Iteratively drills into anomalies, proposes drivers, and generates follow‑up queries automatically.
Summarises dashboards in narrative form—highlighting trends, outliers, and recommended actions.
Add a "Chat with Data" button inside Salesforce, ServiceNow, or custom portals with one API call.
Cross‑references Data Catalog, lineage graphs, and glossary definitions to explain metric provenance.
Our conversational analytics platform provides a complete flow from data ingestion to natural language insights.
Ingest schemas, lineage, and glossary into a vector store for grounding and autocomplete.
Supervisor routes to Text‑to‑SQL, RAG, and explanation agents; merges answers with citations.
Enforce row‑level security, token budgets, and accuracy evals; dashboards track adoption & drift.
Book a discovery call to add conversational data intelligence to your Lakehouse, warehouse, or BI stack.