nexatronAsk your business question. Check the evidence.
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. Review source coverage, definitions and permissions as part of setup.
Illustrative data, not a customer result or accuracy benchmark.
Trusted by enterprises running
How It Works
Three steps to trusted answers
Connect
Connect a supported application or warehouse. Review its authentication, data access and supported operations in the current connector catalog.
Define
Define revenue, churn, ARR or pipeline with the business owner. Review suggested definitions and configure the governance controls your workspace needs.
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
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.
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.
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.
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.
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Years Enterprise Depth
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Enterprise Implementations
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Platform Certifications
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Industries Served
FAQ
Frequently Asked Questions
Can Nexatron query Oracle and NetSuite at the same time?
Can Nexatron be self-hosted?
What is Nexatron's governed semantic layer?
Is Nexatron compatible with AI agents and LLM workflows?
How accurate are Nexatron's answers?
Nexatron by dotSolved Inc
Explore the Nexatron product
dotSolved provides implementation and advisory services. Nexatron is our enterprise analytics product, with dedicated guides for semantic modeling, analytical questions, federation, embedding and Claude connectivity.