Veezoo

Veezoo is an AI analytics platform that helps business teams explore company data using natural language.

Users can ask questions, investigate performance changes, create charts, and automate recurring analysis without writing SQL.

Veezoo uses a governed Knowledge Graph to connect business terms, KPIs, relationships, and access rules with company data. As a result, teams can use AI analytics while keeping business definitions and permissions consistent.

The platform queries data directly from the company’s data warehouse instead of copying raw data into Veezoo.

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Business Problem Solved

Business teams often depend on analysts for routine data questions, reports, and performance analysis.

Veezoo gives business users direct access to governed data. At the same time, data teams keep control over metrics, permissions, and business definitions.

The platform helps companies:

• Reduce routine requests to data teams
• Analyze business performance using natural language
• Automate recurring reports and analysis
• Keep KPIs and metrics consistent
• Monitor important business changes
• Apply existing data permissions to AI analytics

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Key Features

Natural-Language Analytics

Ask questions about company data in plain language and receive answers, charts, and explanations without writing SQL.

Agentic Analytics

Veezoo can perform multi-step analysis to investigate broader business questions, such as why a KPI or metric changed.

AI Analytics Agents

Turn recurring analysis into reusable agents. Teams can run these agents on demand or schedule them for regular reporting and monitoring.

Governed Knowledge Graph

The Knowledge Graph connects business concepts, KPIs, metrics, relationships, synonyms, and access rules.

This gives the AI clear business context when analyzing company data.

Governed SQL Generation

Veezoo does not ask the AI to write SQL directly.

Instead, the AI creates an analytical plan using Veezoo Query Language. A deterministic compiler then converts that plan into SQL.

This makes queries easier to review and keeps them aligned with governed business definitions.

Multi-Layer Data Governance

Veezoo controls access at three levels:

• Knowledge Graph
• Column
• Row

These controls determine which data, metrics, and records each user can access before a query runs.

Dashboards and Reporting

Create charts, dashboards, reports, and recurring analysis from governed company data.

KPI Monitoring and Alerts

Monitor business metrics using scheduled agents, thresholds, alerts, and anomaly detection.

Agentic Data Modeling

Create an initial Knowledge Graph from a connected data warehouse. Data teams can then refine and maintain the model.

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Workflows Supported

Business Intelligence

Business Question → AI Analysis → Insight → Business Decision

Users ask questions about company data and receive answers based on governed business definitions.

Performance Analysis

Metric Change → Investigation → Root Cause → Insight

Veezoo performs multi-step analysis to investigate changes in business performance.

Reporting

Data → Analysis → Dashboard or Report → Monitoring

Teams create reports, dashboards, and recurring analysis.

KPI Monitoring

KPI → Scheduled Analysis → Change Detection → Alert

Agents monitor business metrics and notify users when defined conditions or anomalies appear.

Data Modeling

Data Warehouse → Knowledge Graph → Business Metrics → Governed Analytics

Data teams define and maintain the business context used by analytics and AI.

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How the AI Analytics Platform Fits Into the Workflow

A business user asks a question
→ Veezoo interprets it using the governed Knowledge Graph
→ the platform queries the relevant company data
→ Veezoo returns an answer, chart, or analysis
→ the user can ask follow-up questions or take action

For recurring analysis:

Team defines a reporting or monitoring need
→ Veezoo agent runs the analysis
→ data is checked on demand or on schedule
→ results or alerts are delivered
→ the team reviews the findings

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Primary Users

• Data and analytics teams
• Sales teams
• Marketing teams
• Finance teams
• Operations teams
• Risk teams
• Product teams
• Procurement teams
• Customer Experience teams

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AI Capabilities

Analyze

Investigates company data and answers business questions.

Search and Retrieve

Finds relevant metrics, business concepts, and entities from governed data.

Explain

Presents analytical results in natural language.

Visualize

Turns analysis into charts, dashboards, and reports.

Automate

Runs reusable analytics agents for recurring tasks.

Monitor

Tracks KPIs and supports alerts and anomaly detection.

Assist Decision-Making

Provides governed analysis that teams can use to support business decisions.

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Key Use Cases

Self-Service Business Analytics

User: Business teams
Workflow: Business Intelligence → Data Analysis

Users ask questions about company performance without writing SQL.

Business Outcome: Reduces dependency on analysts for routine data questions.

Root-Cause Analysis

User: Business and analytics teams
Workflow: Performance Analysis → Investigation

Veezoo investigates why a KPI or business metric changed.

Business Outcome: Reduces manual analysis when investigating performance changes.

Automated Reporting

User: Business and analytics teams
Workflow: Reporting → Scheduled Analysis

Teams automate recurring reports and analysis.

Business Outcome: Reduces repetitive manual reporting.

KPI Monitoring and Alerts

User: Finance, Sales, Operations, Risk, and other business teams
Workflow: Performance Monitoring → Alert

Veezoo monitors defined metrics and can notify teams when thresholds or anomalies are detected.

Business Outcome: Helps teams identify important changes without constantly checking dashboards.

Governed Data Modeling

User: Data teams
Workflow: Data Management → Semantic Modeling

Veezoo creates and maintains a Knowledge Graph with business definitions, metrics, and relationships.

Business Outcome: Supports consistent analytics across business users and AI agents.

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Ideal For

Veezoo is relevant for organizations that:

• Want business users to analyze data using natural language
• Need self-service analytics with strong governance
• Want to reduce routine requests to data teams
• Need consistent KPIs and business definitions
• Want AI to investigate business performance
• Need automated reporting and alerts
• Want reusable AI analytics agents
• Use modern databases or cloud data warehouses
• Need strict control over data access

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Business Outcomes

Faster Business Insights

Business users can ask questions directly and receive data-backed answers.

Reduced Analyst Workload

Self-service analytics and AI agents handle routine questions and recurring analysis.

Consistent Business Metrics

The Knowledge Graph provides shared definitions for KPIs, metrics, and business concepts.

Automated Analytics

Reusable agents can run reports, investigations, and monitoring tasks.

Governed AI Analytics

Permissions control access at Knowledge Graph, column, and row level.

Auditable Analysis

Users can review the analytical logic and generated SQL behind queries.

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Industries

Banking
Insurance
Retail
Ecommerce
Healthcare and Life Sciences
Manufacturing and Logistics
Advertising and Media
Luxury Goods
Marketplaces and Platforms
Hospitality
Procurement

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Integrations

Snowflake
Google BigQuery
Databricks
Amazon Redshift
Amazon Athena
PostgreSQL
MySQL
Microsoft SQL Server
Oracle
ClickHouse
Exasol
dbt
Slack
Microsoft Teams
API
MCP
Apache Ossie

Solution Type: AI Analytics / Agentic Analytics / Self-Service Business Intelligence

Primary Workflow: Business Intelligence → Data Analysis → Business Insight

Secondary Workflows: Root-Cause Analysis, KPI Monitoring, Automated Reporting, Semantic Data Modeling

AI Capabilities: Analyze, Search / Retrieve, Explain, Visualize, Automate, Monitor, Assist Decision-Making

Primary Business Need: Give business teams direct access to governed company data and automate recurring analysis without relying on data teams for every business question.