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What is Verdonz?

Verdonz serves as a sophisticated platform designed for business intelligence and AI analytics, specifically aimed at teams focused on evaluating company performance and data insights. The platform boasts seamless integration capabilities with a variety of data warehouses, databases, query engines, monitoring systems, and knowledge hubs, effectively organizing metrics, entities, relationships, and access protocols within a cohesive semantic framework. Users have the ability to ask questions in everyday language, explore metric definitions alongside the SQL queries that generate their responses, and navigate through dashboards, reports, and alerts associated with regulated metrics. Configurable AI agents interact with linked data and knowledge either upon request, according to predetermined schedules, or in reaction to specific alerts; external assistants can access authorized context through the read-only Model Context Protocol (MCP) server or via API connections. Furthermore, embedded analytics facilitate the incorporation of saved queries into other applications, thereby boosting usability. Verdonz also offers considerable deployment flexibility, allowing access as hosted SaaS, through dedicated instances or client-specific clouds, and even as self-hosted software for organizations that desire enhanced control over their infrastructure. This range of options ensures that Verdonz stands out as an appealing solution for businesses aiming to optimize their data analytics strategies while adapting to their unique needs. Such versatility in deployment and functionality makes Verdonz not just a tool, but a strategic partner in data-driven decision-making.

What is Dosi?

Dosi is a highly adaptable AI data analysis application designed for software and data teams focused on developing AI agents and applications that can address questions related to organizational data, available for download. This tool incorporates a semantic layer that enables users to articulate business entities, metrics, relationships, and dimensions, allowing for the transformation of natural language inquiries into actionable SQL commands. Additionally, teams can seamlessly integrate Dosi with compatible agents through the Model Context Protocol (MCP) or opt for its command-line interface and local server to streamline their development workflows. With the capability to connect to various analytical databases and data warehouses, Dosi ensures that queries are executed against specified data sources while maintaining consistency in business definitions. This application proves particularly advantageous for implementing governed conversational analytics, facilitating agent-assisted data exploration, and integrating structured business context into AI-powered data solutions, thereby significantly improving data analysis efficiency within organizations. Moreover, Dosi allows teams to harness their data more effectively, fostering insights that bolster informed decision-making, and ultimately contributing to a more data-driven culture. By enhancing collaboration and optimizing the analytical process, Dosi positions itself as a vital resource for organizations looking to leverage their data assets strategically.

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Integrations Supported

Amazon Redshift
Claude Code
Google Cloud BigQuery
Model Context Protocol (MCP)
MySQL
PostgreSQL
Snowflake
Amazon Athena
Databricks
Presto
Prometheus
SQL Server

Integrations Supported

Amazon Redshift
Claude Code
Google Cloud BigQuery
Model Context Protocol (MCP)
MySQL
PostgreSQL
Snowflake
Apache Doris
Hologres
SAP HANA
SQLite
StarRocks
Tableau
TiDB
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

$199/user/month
A limited free workspace uses sample data. Team starts at $199 per user per month. Enterprise plans are custom-priced.
Free Version
Free Trial Offered?

Pricing Information

$0
Dosi is free to download, use in production, and redistribute under Elastic License 2.0. The license restricts offering Dosi as a hosted or managed service and includes other use conditions.
Free Version

Supported Platforms

SaaS
Mac
On-Prem
Linux

Supported Platforms

Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Verdonz

Date Founded

2026

Company Location

United States

Company Website

www.verdonz.com

Company Facts

Organization Name

Datus

Date Founded

2025

Company Location

United States

Company Website

dosi.datus.ai/

Categories and Features

Business Intelligence

Not specified

Categories and Features

Semantic Layer

Not specified

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