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Verdonz

What Verdonz is
Verdonz is a governed AI platform for investigating business questions across business data, workspace knowledge, and connected systems. Its agents can identify changes, trace drivers to accounts or transactions, show evidence, and propose a next step for approval. Users can ask questions in plain language about governed metrics and see the selected metric, dimensions, and SQL behind an answer. A shared semantic layer defines metrics, entity relationships, descriptions, synonyms, and permissions across dashboards, reports, and AI answers. Workspace knowledge bases can contain PDFs, Word documents, Excel spreadsheets, CSV, text, and Markdown files. Supported data sources include Snowflake, Google BigQuery, Databricks on Unity Catalog, Amazon Redshift, PostgreSQL, MySQL, Microsoft SQL Server, Presto, and Amazon Athena. Queries run against connected sources where data lives by default; Verdonz says it does not perform ETL, ELT, change data capture, streaming replication, or reverse ETL. External MCP-compatible agents can query governed metrics, and a query API is available. Governance includes row-level security, column masks, object grants, and an audit log. Team costs $199 a month, billed flat rate, with billing terms confirmed at signup.
Who it suits
Verdonz may suit teams that need governed analysis across connected business data and workspace documents. The free access is limited to sample data, while Team supports one connected warehouse or database for a business's own data.
What it does well
- Answers show the selected metric, dimensions, and SQL.
- Supports a range of listed data sources.
- Queries run where connected data lives by default.
- Includes row-level security and column masks.
- Agents wait for approval before changing something.
What to know first
- Free access uses sample data only.
- Team supports one connected warehouse or database.
- Enterprise pricing is custom and not listed.
- Free access is by request.
Limits
The Free plan is currently limited, uses included sample data and does not connect a business's own data; access is by request. Team costs $199 a month and includes one connected warehouse or database. Enterprise uses custom pricing quoted per deployment.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Free | guided workspace · included sample data · no own business data · access by request | Free |
| Team | flat rate; billing terms confirmed at signup · unlimited users · one connected warehouse or database · own business data · standard integrations · query API · standard support | $199 a month |
| Enterprise | custom pricing quoted per deployment · enterprise controls · multiple teams, regions or entities · private or custom deployment where supported · enterprise support | On request |
As verdonz.com lists them, read 8 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the Verdonz website and request access to the Free guided workspace, which uses included sample data.
- Choose the Team plan for own business data and one connected warehouse or database, at $199 a month.
- Connect a supported data source such as Snowflake, Google BigQuery or PostgreSQL.
- Add workspace documents in PDF, Word, Excel, CSV, text or Markdown format.
- Set up governed metrics, relationships and permissions for use across dashboards, reports and AI answers.
- Use the query API or connect an MCP-compatible agent to governed metrics.
Verdonz is a governed AI workspace for investigating business questions across warehouse data, internal files and connected systems. It is best suited to organizations that need shared metric definitions, permission-aware access and a human checkpoint before agents take action. Choose it for traceable, controlled analysis; look elsewhere if you need your own data connected without paying for a Team subscription.
Overview
Verdonz combines natural-language metric queries with agents that investigate changes in performance. An agent can follow a variance to specific accounts or transactions, show supporting evidence and recommend a next step for approval. This investigation workflow is more practical for root-cause work than a chatbot that returns an unsupported summary.
Questions return the chosen metric, dimensions and the SQL used to produce the answer. Its semantic layer centralizes metric definitions, entity relationships, descriptions, synonyms and permissions, then reuses them across dashboards, reports and AI responses. That shared vocabulary is valuable when several teams otherwise calculate the same KPI differently.
Key features
Governed data and documents
Connections cover Snowflake, Google BigQuery, Databricks on Unity Catalog, Amazon Redshift, PostgreSQL, MySQL, Microsoft SQL Server, Presto and Amazon Athena. Queries run against those sources where the data resides by default. Verdonz does not perform ETL, ELT, change data capture, streaming replication or reverse ETL, so it avoids creating another pipeline copy but is not a replacement for data-integration tooling.
Workspace knowledge bases accept PDFs, Word files, Excel spreadsheets, CSV, text and Markdown. This lets an investigation combine operational records with policy, account or process documents rather than treating warehouse data as the only context.
Security and controlled action
Row-level security, column masks and object grants apply to governed queries. An audit log records sign-ins and administrative changes, while SAML, OIDC and LDAP support enterprise identity setups. Role-scoped API keys provide narrower machine access than a shared credential.
Agents request permission before acting, and changes wait for a person's approval. External MCP-compatible agents can query governed metrics, and the query API supports integration with other applications. These controls make Verdonz a stronger choice for permission-sensitive analysis than an autonomous agent with unrestricted write access.
Pricing
Free
The Free plan costs nothing and provides a guided workspace with included sample data. Access is by request, and it cannot connect your own business data. It is useful for evaluating the approach or preparing a workspace, but not for production analysis of company records.
Team
Team costs $199 a month as a flat rate; billing terms are confirmed at signup. It includes unlimited users, one connected warehouse or database, own business data, standard integrations, the query API and standard support. The single-source limit suits a team centered on one warehouse, but organizations spanning several databases, regions or entities will outgrow it.
Enterprise
Enterprise uses custom pricing quoted per deployment. It adds enterprise controls, support for multiple teams, regions or entities, and private or custom deployment where supported, with enterprise support. It is the appropriate tier for complex governance or deployment requirements rather than a predictable-budget purchase.
There is no free trial. The practical entry point for connected business data is therefore the paid Team plan.
Platforms
Verdonz is offered through the web, an API and self-hosted deployment. That combination supports browser-based analysis, application integration and organizations that need deployment control.
Who it's for
Verdonz fits analytics, finance, operations and revenue teams that investigate metric changes and need an evidence trail from question to SQL and source records. It also suits enterprises that require row- and column-level controls, centralized identity and approval gates for agent actions. It is a poor fit for a small user seeking a free connection to private data, or for teams that need multi-warehouse coverage on the Team plan.
Pros and cons
Pros
- Evidence-oriented investigations: agents trace changes to accounts or transactions and propose a reviewable next step.
- Transparent analytics: answers expose metric, dimensions and SQL instead of hiding the query path.
- Consistent governance: one semantic layer carries definitions and permissions across dashboards, reports and AI answers.
- Broad source coverage: major cloud warehouses, databases and query engines are supported without moving data by default.
- Strong controls: security policies, audit logging, enterprise identity and approval gates limit risky access or actions.
Cons
- Free plan is non-production: sample data and no own-data connection prevent meaningful evaluation with live business records.
- Team has one source: a single connected warehouse or database can constrain organizations with distributed data.
- Enterprise budget is uncertain: custom deployment pricing makes costs harder to forecast.
- No pipeline operations: the absence of ETL, replication and reverse ETL means separate tooling is needed for those jobs.
Alternatives
For sales-focused workflows, compare Weflow, which has a free trial, broad device coverage and a 25-agent-actions-per-month starter allowance. Wizard AI Forecasts is a better match when a freemium forecasting product with limited monthly credits and bookings is the priority.
DataLion suits teams wanting a free-forever tier with one user, one project, 100 cases and spreadsheet or SPSS imports. MoData is aimed at small sales teams needing one integration and pre-built dashboards, while OptiKratos Email is the relevant choice for email or WhatsApp campaigns.
Aviso Sales Engagement and Discern Sales Intelligence are alternatives for buyers seeking custom sales-intelligence deployments. Gong Forecast is for organizations prepared for per-user licensing and a platform fee, with no free plan.
Readers comparing adjacent categories can also browse Sales Analytics Software, Semantic Layer Software, AI Prompt Management Software and Prompt Management Software.
Verdict
Verdonz is a strong choice for governed root-cause analysis across warehouse data and documents, especially where SQL visibility, semantic consistency and approval-controlled agents matter. Its main reason to look elsewhere is cost and scope at the entry point: Free cannot use company data, Team starts at $199 a month and connects only one warehouse or database.
Verdict
Verdonz combines governed metric queries with evidence-oriented agents and controls for connected data. The free option does not connect a business's own data, and Team is limited to one warehouse or database.
Questions
Does Verdonz have a free plan?
Yes. Free is a guided workspace with included sample data and access by request. It does not connect a business's own data.
How much is the Team plan?
Team costs $199 a month at a flat rate; billing terms are confirmed at signup.
What does Team include?
Team includes unlimited users, one connected warehouse or database, own business data, standard integrations, a query API and standard support.
What data sources does Verdonz support?
Sources include Snowflake, Google BigQuery, Databricks on Unity Catalog, Amazon Redshift, PostgreSQL, MySQL, Microsoft SQL Server, Presto and Amazon Athena.
Can Verdonz run as a private or custom deployment?
Enterprise includes private or custom deployment where supported, with custom pricing quoted per deployment.
What identity and access controls are listed?
The security page lists SAML, OIDC and LDAP sign-in, role-scoped API keys, row-level security, column masks and object grants.
Facts from Verdonz's own pages
- AI analytics
- Plain-language questions use governed metrics and return the selected metric, dimensions and SQL behind the answer. · verdonz.com, 8 Oct 2026
- Approvals
- Agents ask before acting, and actions that change something wait for a person's approval. · verdonz.com, 8 Oct 2026
- Data handling
- Queries run against connected sources where the data lives by default, and the page says Verdonz performs no ETL, ELT, change data capture, streaming replication or reverse ETL. · verdonz.com, 8 Oct 2026
- Documents
- Workspace knowledge bases can contain PDFs, Word documents, Excel spreadsheets, CSV, text and Markdown files. · verdonz.com, 8 Oct 2026
- Identity
- The security page lists SAML, OIDC and LDAP sign-in, along with role-scoped API keys. · verdonz.com, 8 Oct 2026
- Integrations
- Supported sources include Snowflake, Google BigQuery, Databricks on Unity Catalog, Amazon Redshift, PostgreSQL, MySQL, Microsoft SQL Server, Presto and Amazon Athena. · verdonz.com, 8 Oct 2026
- MCP and API
- External MCP-compatible agents can query governed metrics, and Verdonz also offers a query API. · verdonz.com, 8 Oct 2026
- Notable limits
- Free access is currently limited, uses sample data and does not include connecting a business's own data; Team is listed for one connected warehouse or database. · verdonz.com, 8 Oct 2026
- Purpose
- Verdonz is a governed AI platform whose agents investigate business questions across business data, workspace knowledge and connected systems. · verdonz.com, 8 Oct 2026
- Root cause analysis
- Agents identify what changed, trace drivers to accounts or transactions, show evidence and propose a next step for approval. · verdonz.com, 8 Oct 2026
- Security
- Verdonz applies row-level security, column masks and object grants to governed queries and records sign-ins and administrative changes in an audit log. · verdonz.com, 8 Oct 2026
- Semantic layer
- Metric definitions, entity relationships, descriptions, synonyms and permissions are shared across dashboards, reports and AI answers. · verdonz.com, 8 Oct 2026
- Support
- Team includes standard support, while Enterprise includes enterprise support. · verdonz.com, 8 Oct 2026
Where Verdonz stands on Freedom251
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