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Nexatron Documentation

Nexatron is the agentic answer engine for the enterprise, from dotSolved. The goal is a governed answer engine for all of your enterprise data — warehouses, business applications, and documents — reached through natural language and accessible to AI agents over the Model Context Protocol (MCP). It is vendor-neutral and auditable: you bring your own LLM, your data stays where it lives, and every answer is traceable.

Key Features

  • Natural Language Queries: ask questions in plain English. Nexatron translates them to SQL, executes against your data, and returns structured results with visualizations — alongside the SQL, the sources, and a confidence score.
  • Certified-Metric Semantic Layer: define business metrics, dimensions, and relationships once. Certified metrics compile to the right SQL dialect for each source, so every query uses the approved definition.
  • Warehouse and Application Connectors: connect PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Databricks, Redshift, and S3; reach business applications such as Salesforce and QuickBooks through a generic AppConnector and the MCP framework.
  • Embeddable SDK: drop a chat widget into any React app with a few lines of code.
  • MCP Integration: use Nexatron as a tool inside Claude Desktop or any MCP-compatible AI assistant. Nexatron acts as both an MCP server and an MCP client.
  • Bring Your Own LLM: a smart router selects across your configured providers per query, so there is no vendor lock-in.
  • Enterprise Security: multi-tenant isolation with four-layer row-level security, a cryptographically signed audit log, SSO, and API key management.
GoalGuide
Install the SDK and send your first querySDK Quickstart
Embed a chat widget in ReactReact Widget
Connect Nexatron to Claude DesktopMCP Integration
Call the REST API from PythonPython Quickstart
Browse the public APIAPI Reference

Need a custom plan or enterprise features?

Contact your account team or reach out via the in-product help menu for SCIM provisioning, custom rate limits, dedicated infrastructure, and on-prem deployment options.