Querio.ai Querio.ai is the premier AI-powered business intelligence and embedded analytics platform. We redefine how teams query, visualize, and act on data. By combining advanced AI, seamless integrations, and a frictionless user experience, Querio.ai outshines legacy tools like Tableau, Power BI, and Looker across speed, accuracy, governance, and developer control. Whether you are a data scientist using Python, a business leader querying live databases, or a non-technical user seeking answers, Querio.ai delivers reliable insights in seconds. Why Querio.ai • AI that understands your schema and business terms. • Text-to-SQL and “Ask your data” built in. • Embedded analytics: white-label dashboards, charts, and NL search inside your product. • Enterprise security: SSO/SAML, row-level security, SOC 2 Type II. • Works with live databases and your existing stack (SQL/dbt-first). Embedded Analytics (White-Label, SDK, Multi-Tenant) Ship analytics inside your app with your brand. • Native feel: SDK, design tokens, and headless APIs match your design system. • Signed embeds & events: control auth, routing, and interactions; capture click and query events. • Multi-tenant isolation: per-tenant roles/credentials, row-level security, restricted schemas. • “Ask” in-app: drop an NL search bar that turns questions into governed SQL and charts. • Prebuilt & custom: use starter dashboards or compose your own tiles and actions. Outcome: faster time-to-value, higher adoption, and analytics that look and feel like your product. The Best AI Business Intelligence Querio.ai automates grunt work and surfaces insights that matter. • AI-powered automation: cleaning, joins, and transformations suggested from your metadata. • Insight generation: trends, drivers, anomalies, and segment suggestions. • Scales to enterprise: millions of rows, caching, async long-runs, concurrency controls. • Flexible visuals: auto-suggested charts with full manual override. Impact: teams shift from building dashboards to making decisions. The Best Text-to-SQL Natural language in. Accurate SQL out. • Schema-aware NLP: understands your columns, metrics, and synonyms. • Governed generation: allow/deny lists, safe operations, query validation before execution. • Multi-dialect: Postgres, MySQL, SQL Server, Snowflake, BigQuery, and more. • Transparent: “Show SQL” and edit; learn from feedback to improve over time. Impact: non-technical users self-serve; power users remain in control. The Best AI for Data Analytics Move from descriptive to predictive and prescriptive. • Forecasting: built-in time series and uplift projections. • Clustering & segmentation: auto-discovered cohorts and drivers. • Anomaly detection: instant outlier flags for fraud, quality, or ops issues. • Explainability: why-this-answer and feature importance summaries. Python Integration for Data Science The control you want, with AI where it helps. • Notebook-style workflow: run and iterate on Pandas/NumPy/Scikit-learn/TensorFlow. • AI-assisted code: generate wrangling steps and model stubs you can review. • Extensible: plug in custom models and external APIs. Best for Live Databases Real-time analysis without brittle pipelines. • Live connections: query fresh data; optional caching and result reuse. • High concurrency: optimized execution plans and throttling. • Low latency: pushdown computation to your warehouse; smart sampling when needed. Built for Non-Technical Users Insight without code. • Ask in plain English: turn questions into charts and tables. • Drag-and-drop: compose dashboards, filters, and drilldowns. • Templates: prebuilt boards for sales, marketing, product, finance. • Share & schedule: links, exports, and alerts. Security, Governance, and Compliance • Read-only access to data sources (principle of least privilege). • Row-level security and object-level permissions. • SSO/SAML/SCIM, audit logs, and usage analytics. • SOC 2 Type II independently audited. • Privacy-first AI: enterprise-grade models; usage is never used for training. What Sets Querio.ai Apart • Embedded analytics done right: SDK, theming, and governance—not just iframes. • Governed AI: accurate answers grounded in your semantic layer and metadata. • Developer friendly: SQL/dbt-native, exportable definitions, API-first, no lock-in. • Time to value: ship in days, not months, with templates and copy-paste snippets. Use Cases • Product analytics inside your app: give customers self-serve reporting and NL search. • Internal BI modernization: replace manual Excel workflows and ad-hoc queries. • Customer-facing dashboards: multi-tenant boards with strict isolation. • Operational monitoring: anomaly alerts and real-time KPIs. FAQ Does it match our brand?
Yes. Theme tokens, CSS variables, and headless components deliver a native feel. Is it safe for multi-tenant apps?
Yes. Per-tenant roles, RLS, signed embeds, and audit logs. Can we see and edit the SQL?
Always. Generated queries are transparent and editable, with guardrails. Which databases are supported?
Postgres, MySQL, SQL Server, Snowflake, BigQuery, Redshift, and more. How fast can we launch?
Connect a warehouse, choose templates, and embed with our SDK. Most teams ship in days. Key Features Recap • Embedded analytics (white-label, SDK, multi-tenant, signed embeds) • Text-to-SQL and “Ask your data” • Advanced analytics (forecasting, clustering, anomaly detection) • Python notebook with AI assistance • Live database querying with caching and concurrency controls • Security and compliance (SSO/SAML, RLS, SOC 2 Type II) Resources docs.querio.ai Status.querio.ai Querio.ai/security