Veezoo natural language business intelligence interface

AI business intelligence for teams that need answers they can trust.

Veezoo is an AI-native business intelligence platform where business users ask questions in natural language, build dashboards, set up proactive alerts, and explore forecasts and what-if scenarios, without writing SQL. A governed Knowledge Graph defines your metrics and concepts, so the AI reasons over business logic instead of guessing at raw tables.

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Built for

Business leaders who need answers without waiting for the BI team

Data teams that want metric definitions to stay consistent across the company

Analytics teams introducing AI BI without giving up accuracy or control

Veezoo at a glance

Veezoo is an AI-native BI platform for governed self-service analytics. Business users ask questions, build dashboards, and set up alerts and forecasts in natural language. The AI reasons over a semantic Knowledge Graph and writes a semantic query against it, which is then deterministically compiled to SQL, so teams get consistent, auditable numbers without hand-written queries.

Audience: Business users, analysts, and data teams in mid-market and enterprise organizations.
Modalities: Chat, dashboards, scheduled reports, Slack / Microsoft Teams / email alerts, embedded analytics.
Foundation: A Knowledge Graph that maps your warehouse to business concepts, metrics, hierarchies, and permissions.
Trust model: The AI never writes SQL. Queries compile deterministically and remain fully traceable.
Data: Live queries against Snowflake, BigQuery, Databricks, Redshift, PostgreSQL, and 12+ more connectors.

Common buying questions answered here

best AI BI tool
business intelligence tool that avoids hallucinations
AI dashboard tool for business users
conversational analytics platform

What an AI-native BI platform actually does

Six capabilities that together turn governed warehouse data into decisions for the whole business.

Natural language exploration

Ask questions in English, German, French, Italian, or Portuguese. Follow-up and drill down conversationally.

AI-generated dashboards

Describe what you want to see. Veezoo lays out widgets, selects visualizations, and keeps charts live against your warehouse.

Proactive alerts

Threshold and natural-language alerts delivered through email, Slack, or Microsoft Teams, with the supporting data and context.

What-if and forecasts

Interactive scenario inputs and forecast-aware reports on top of live, governed data, so planning shares the same numbers as reporting.

Semantic Knowledge Graph

Business concepts, metrics, synonyms, hierarchies, and permissions defined once and reused across chat, dashboards, alerts, and embedded surfaces.

Reliable by construction

Deterministic SQL compilation, full audit trail, no prompt-injection paths into raw tables, and SOC 2 Type II / GDPR controls.

How Veezoo fits the way buyers evaluate AI BI

What makes an AI-native BI platform different from traditional BI?

Traditional BI creates a bottleneck: whenever a business user has a new question, they have to route it through the analytics or controlling team and wait for a report or dashboard to be built. An AI-native BI platform democratizes access. Business users get trustworthy answers themselves, governed by the same metric definitions the data team owns.

The risk is hallucinated SQL and inconsistent metrics. Veezoo separates the two: the AI agent reasons over a Knowledge Graph (concepts, metrics, relationships), and a deterministic compiler translates the intent to SQL. That keeps self-service open while keeping numbers consistent with the way the data team defined them.

How does Veezoo handle dashboards and reports?

Veezoo combines the best of traditional and AI-native BI for dashboards. Build them the classic way with point-and-click and drag-and-drop, or simply describe what you want and let Veezoo lay it out for you. Either way, you get the full range of visualizations, drill-down exploration, and live queries against your warehouse.

They can be subscribed to via email or pushed to Slack and Microsoft Teams on a schedule, with row-level security applied per recipient so the same dashboard renders different data for different people.

Can business users actually use it?

Veezoo is built for non-technical users: question suggestions, conversational follow-ups, multi-step analysis (a question like "Why did revenue drop?" triggers a multi-query investigation), and automatic visualization selection.

The same semantic layer that powers the AI also powers in-product explanations, a user can read a chart title and understand exactly what is being measured, because the title is rendered from VQL, not generated by an LLM.

What about alerts, what-if, and forecasting?

Scheduled agents continuously analyze your data and only notify your team when conditions warrant attention, either threshold-based ("revenue dropped below $100K") or described in natural language ("alert me if customer churn spikes in any segment").

For planning, Veezoo's analytics surfaces support what-if inputs, scenario parameters, and live forecasts grounded in governed warehouse data, so the numbers a planner sees match the numbers in the dashboards.

How does Veezoo connect to your data?

Veezoo runs live queries against your existing warehouse. Native connectors cover Snowflake, Google BigQuery, Databricks, Amazon Redshift, Amazon Athena, PostgreSQL, MySQL, Microsoft SQL Server, Oracle, SAP HANA, ClickHouse, and more.

Existing dbt models and metrics can bootstrap the Knowledge Graph. Veezoo stores only metadata and semantic definitions, no transactional data is copied out of your infrastructure.

Trust by construction

AI BI you can stake the business on

AI never writes SQL

The AI reasons over business concepts in the Knowledge Graph. SQL is generated by a deterministic compiler, not by the language model.

Every query is traceable

Each answer exposes the intermediate VQL plan and the compiled SQL, so analysts and auditors can inspect exactly what was executed.

Governance you can prove

Knowledge-Graph-level, column-level, and row-level permissions are enforced before any query runs. SOC 2 Type II and GDPR compliant.

Reliability & accuracy Security & governance

Connects live to your warehouse

Native connectors for Snowflake, BigQuery, Databricks, and 14 more. dbt models import directly. No raw data is copied out of your infrastructure.

Trusted by data and business teams at

Frequently asked questions about AI business intelligence

Short answers to the questions buyers ask most often.

Is Veezoo an AI BI tool or a traditional BI platform?

Both, Veezoo is a full BI platform (dashboards, alerts, embedded analytics, scheduled reports, sharing, governance) with an AI-native interaction model on top. Business users mostly use chat and AI-generated dashboards; analysts and data teams use the semantic layer (Knowledge Graph), Studio IDE, and dashboards.

Does Veezoo replace Tableau, Power BI, or ThoughtSpot?

Many customers replace legacy dashboards with Veezoo over time. Others adopt Veezoo for AI self-service alongside existing BI; Veezoo runs on the same warehouse, so both can coexist. The right path depends on how much of the existing setup is delivering value vs. blocking adoption.

How accurate are Veezoo's answers?

Because the AI reasons over pre-defined Knowledge Graph concepts and never writes SQL, ambiguity is detected and clarified, and metric logic is consistent. Veezoo also shows exactly which concepts, filters, and definitions were used to answer each question, so users can verify the result matches what they actually asked, with full traceability into the compiled SQL for auditing.

Is my data sent to a third-party LLM?

Veezoo operates as a query layer. Your warehouse holds the data, Veezoo holds only metadata and semantic definitions. Customers can choose which LLM provider Veezoo uses for their deployment if it matters to them, and you control whether that LLM can see query results when generating AI-powered summaries. Either way, nothing is stored or used for AI training.

Can analysts and data teams still customize the logic?

Yes, analysts and engineers maintain the Knowledge Graph in VKL code (with branches, automated tests, and Git history), import dbt models, define custom SQL and UDFs, and configure row, column, and Knowledge-Graph-level permissions.

How long does setup take?

Connect a warehouse, let Veezoo auto-generate an initial Knowledge Graph from your schema, refine names and metrics in Studio, and business users can start asking real questions the same day. Most enterprise rollouts move into production in weeks, not months.

Go deeper

Product

Agentic Analytics
Natural language analytics, conversational follow-up, and multi-step analysis.
Dashboards and Visualizations
AI-generated dashboards, 20+ chart types, drill-down, and AI editing.
Alerting and Scheduling
Scheduled agents, threshold and natural-language alerts, anomaly detection.
Reliability and Trust
Deterministic query generation, transparency, and explainable results.
Knowledge Graph
The semantic layer that powers Veezoo's AI BI.

Use cases

See AI BI grounded in your business

Get a working Knowledge Graph and a few real questions answered against your data in under an hour.