BIZQUERY: UNIVERSAL DATA SEARCH

Talk to your data. No SQL, no complex schemas, just instant answers from any file.

How BizQuery AI Agent Work
Upload Your Data
Ask in Plain English
Drive Actionable Insights
AI Data Engine
No-Code Data Integration

Instant Intelligence from Raw Data

BizQuery AI is a multi-tenant data analyst that merges JSON, CSV, and XLSX into a 'Central Brain' to eliminate row-explosion and provide natural language insights.

The End of the Syntax Barrier: Natural Language Data Orchestration

BizQuery AI isn't just a search tool; it is an autonomous data orchestrator designed to eliminate the "Syntax Barrier" that traps critical insights inside static CSV files and siloed spreadsheets. While traditional Business Intelligence (BI) tools require complex SQL joins or rigid schema mapping, BizQuery utilizes a "Schema-Agnostic" engine. This allows you to stitch together disparate datasets—from marketing ROI logs to supply chain manifests—into a unified, searchable "Data Web" without writing a single line of code.


Defeating "Row-Explosion" and Data Fatigue

For professionals managing high-volume data, the greatest risk is "Row-Explosion"—the phenomenon where redundant data points obscure actual performance metrics. BizQuery AI applies intelligent filtering and multi-tenant logic to ensure that your queries return precise, deduplicated insights. Whether you are identifying "Incentive Deadweight Loss" in sales commissions or calculating the "Lead Time Penalty" in a global supply chain, BizQuery processes the noise so you can focus on the signal.


Built for the Agentic Era

Designed by professional developers, BizQuery is built on the principles of "Agentic AI". It doesn't just display data; it understands the relationship between your business variables. By transforming your raw files into a searchable knowledge base, you empower your team to ask complex questions in plain English and receive instant, boardroom-ready answers.


Audit Logic Summary (Data Transparency & Governance)

Ensure absolute data transparency with the BizQuery Audit Logic Summary. As an enterprise-grade AI Data Analyst, BizQuery doesn't just return blind answers—it exposes the exact SQL logic and mathematical reasoning used to parse your local datasets. This built-in governance feature empowers data professionals and executives to instantly verify AI-generated queries, catching potential hallucinations before they impact critical business intelligence. Built for compliance-driven organizations, the Audit Logic Summary guarantees that your ad-hoc reporting remains 100% auditable, structurally sound, and radically reliable.


Analyze Results (Deep AI Business Insights)

Transcend basic query execution with BizQuery's Deep Analyze Results engine. Once your local tabular data is securely processed, our advanced Generative AI instantly drafts comprehensive analytical summaries, identifies hidden operational trends, and proposes actionable business strategies directly from your raw outputs. Whether you are dynamically evaluating logistical bottlenecks or projecting cross-regional ROI, this powerful feature transforms dense spreadsheets into executive-ready narratives in seconds—eliminating the need for external data scientists or slow cloud-server round trips.

Data is often trapped in silos—Sales in one CSV, Inventory in another, and Marketing in a third. Traditional BI tools require these files to be perfectly formatted and manually "joined" before they can be searched. This process is rigid, slow, and impossible for non-technical users. Business owners need a way to "stitch" disparate data together automatically to see the big picture.

BizQuery introduces Smart Multi-File Stitching. Using fuzzy-matching heuristics and Jaro-Winkler similarity, BizQuery auto-detects relationships between your uploaded files. It merges them into a single "Golden Record" on your own machine. The result? You can ask, "How did my social media ad spend affect my offline store sales?" and get an accurate answer in seconds.

Key Features

  • Multi-File Auto-Stitching
  • Natural Language to SQL
  • Audit Logic Summary
  • Schema-Agnostic Uploads
  • Dynamic Metadata Discovery
  • Deep Analysis