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NexatronData Intelligence Platform

Your enterprise brain, built on your business context.

Connect supported business applications and warehouses, define the metrics that matter, and ask questions in plain English. Use Nexatron directly or connect Claude through MCP.

Book a DemoSee how Claude connects
  • Multi-Source Federation
  • Self-Hosted / BYOL
  • MCP-Native

Trusted by enterprises running

  • Anthropic
  • Oracle
  • NetSuite
  • Salesforce
  • Microsoft
  • Databricks
  • UiPath
  • Google
  • IBM
  • Workato

How It Works

Three steps to trusted answers

  1. 1

    Connect

    Connect a supported application or warehouse. Review its authentication, data access and supported operations in the current connector catalog.

  2. 2

    Define

    Define revenue, churn, ARR or pipeline with the business owner. Review suggested definitions and configure the governance controls your workspace needs.

  3. 3

    Ask

    Ask a bounded question, inspect the answer and its available source evidence, then reconcile it with an approved reference report.

Capabilities

Enterprise-grade intelligence, built in

  • Natural Language Query

    Type or speak; get SQL-backed answers

    Explore questions with your data team

  • Governed Semantic Layer

    Reviewed metric definitions and configurable governance checks

    Consistent, auditable AI answers

  • Multi-Source Federation

    Analyze supported business apps and warehouses with embedded DuckDB federation

    Validate source coverage and join grain

  • MCP-Native Agent API

    Expose supported tools to MCP-compatible clients

    Nexatron as enterprise AI data layer

  • Self-Hosted / BYOL

    Deploy in own VPC with own LLM contract

    Deployment and model settings define data handling

  • Voice-First UX

    Ask by voice; receive spoken summaries

    Democratizes data access

  • Smart LLM Router

    Configurable model routing by query requirements

    Evaluate cost and answer quality together

  • Accuracy Engine

    Syntax, semantic, RLS, confidence scoring, feedback loop

    Evaluate against approved reference questions

Claude and MCP

Ask Nexatron from Claude through MCP

Nexatron exposes supported analytical tools through the Model Context Protocol, so compatible clients such as Claude can ask questions of the sources your workspace connects. Plan the connection like any other access to business data.

Explore Claude Integration

  • Set up the client

    Follow the documented client setup and authentication for Claude or another MCP-compatible client before the first question.

  • Review permissions

    Confirm which workspace, sources and users the connection covers, and review workspace permissions with the data owner.

  • Check the tool scope

    External MCP services configured as sources do not automatically expose every upstream tool to Claude. Confirm the tools your setup supports.

Connectors

Connect to the platforms that run your business

  • Databases

    • PostgreSQL
    • MySQL
    • Microsoft SQL Server

  • Cloud Warehouses

    • Snowflake
    • BigQuery
    • Amazon Redshift
    • Databricks

  • Business Applications

    • Oracle Fusion
    • NetSuite
    • Salesforce
    • QuickBooks

  • Files and Embedded Analytics Engine

    • Amazon S3
    • DuckDB

  • Additional Integrations

    See the current Nexatron catalog for availability and supported scope

Plan your evaluation

Start with the question you need to answer.

Prove the use case

For an analytics team evaluating one workflow

Bring approved questions, a supported source and reference results. Agree on the evaluation scope before starting.

Book a Demo

Expand to your team

For a department with recurring reporting needs

Review source coverage, user roles and reporting requirements. Confirm plan limits and commercial terms with the team.

Book a Demo

Review enterprise requirements

For organizations with deployment and governance requirements

Discuss tenant boundaries, model providers, deployment options and operational ownership. Confirm the agreed scope in your proposal.

Book a Demo

Enterprise Reality

Most enterprises are experimenting with AI. Few are running it.

Your data is locked in Oracle, NetSuite, and Salesforce.

Your decisions are based on last week's export.

Your AI pilots are producing demos.

Not outcomes. Not ROI. Not scale.

Your platforms are adding AI natively.

Deploying it in a real enterprise is a different problem entirely.

23+

Years Enterprise Depth

500+

Enterprises Served

5

Platform Certifications

6

Industries Served

FAQ

Frequently Asked Questions

Can Nexatron query Oracle and NetSuite at the same time?
Nexatron uses embedded DuckDB federation to analyze supported business applications and warehouses together. Source access, compatible definitions and record relationships must be configured. Available integrations and validation status are listed in the Nexatron connector catalog.
Can Nexatron be self-hosted?
Discuss deployment and model-provider options with the team. Data handling depends on the selected model, source connections and configuration; self-hosting alone does not establish that no data leaves the environment.
What is Nexatron's governed semantic layer?
The semantic layer lets administrators define metrics, relationships and business terminology. Suggested definitions require review; certified metrics and configured governance controls determine how the analytical workflow uses them. Review the available controls and their enabled state for your workspace.
Is Nexatron compatible with AI agents and LLM workflows?
Nexatron exposes supported analytical tools through MCP for compatible clients such as Claude. Review the documented client setup, authentication and workspace permissions. External MCP services configured as sources do not automatically expose every upstream tool to Claude.
How accurate are Nexatron's answers?
Evaluate accuracy using your approved questions and reference results. Inspect correctness, source coverage, permissions and refusal behavior separately. The Nexatron measurement guide explains the evaluation approach; no single percentage establishes performance on every customer dataset.

Nexatron by dotSolved Inc

Continue on the Nexatron product site

The product site documents each capability, publishes a guide for every integration and explains how answer quality is measured. Check the connector catalog there for the current status of your source.

Explore Nexatron's capabilities 

Product

Integrations

Trust and measurement

See Nexatron answer your own question

Bring one business question, a supported source and the reference report you trust today. We will walk through the setup, the definitions and the evidence behind the answer.

Book a DemoRequest a Claude readiness assessment