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Data Intelligence Platform

Ask anything. Get a trusted answer.

Ask any business question in plain English. Get trusted, explainable answers from Oracle, NetSuite, Salesforce, and cloud data warehouses simultaneously. No SQL, no ETL, no waiting.

Multi-Source FederationSelf-Hosted / BYOLMCP-Native
Oracle
NetSuite
Salesforce
Snowflake
Nexatron — Data Intelligence
“What was revenue by subsidiary last quarter?”
Querying Oracle EBS
Pulling CRM data from Salesforce
Analyzing Snowflake warehouse
Q4 Revenue — $4.2M+18% QoQ
US
$2.8M
EMEA
$1.1M
APAC
$0.3M
96%Oracle EBSSalesforceSnowflake
Multi-Source Federation
Governed Semantic Layer

Trusted by enterprises running

Oracle
NetSuite
Salesforce
Microsoft
Databricks
Oracle
NetSuite
Salesforce
Microsoft
Databricks
Oracle
NetSuite
Salesforce
Microsoft
Databricks
Oracle
NetSuite
Salesforce
Microsoft
Databricks
UiPath
Google
IBM
Workato
Atomicwork
UiPath
Google
IBM
Workato
Atomicwork
UiPath
Google
IBM
Workato
Atomicwork
UiPath
Google
IBM
Workato
Atomicwork

How It Works

Three steps to trusted answers

1

Connect

Point Nexatron at Oracle, NetSuite, Salesforce, Snowflake, or any supported source. No ETL. No data movement. Read-only.

2

Define

Define your business terms in the governed semantic layer — revenue, churn, ARR, pipeline. One definition, enforced everywhere.

3

Ask

Ask any business question in plain English. Get a trusted, SQL-backed answer in seconds with full explainability and audit trail.

Capabilities

Enterprise-grade intelligence, built in

Natural Language Query

Type or speak; get SQL-backed answers

Eliminates analyst bottleneck

Governed Semantic Layer

Central metric definitions enforced across every query

Consistent, auditable AI answers

Multi-Source Federation

Query Oracle, NetSuite, Salesforce, warehouses via Trino

No ETL, no duplication

MCP-Native Agent API

Expose as data tool for any AI agent or LLM

Nexatron as enterprise AI data layer

Self-Hosted / BYOL

Deploy in own VPC with own LLM contract

Data never leaves infrastructure

Voice-First UX

Ask by voice; receive spoken summaries

Democratizes data access

Smart LLM Router

Routes queries to optimal LLM by complexity + cost

Cost optimization without quality loss

Accuracy Engine

Syntax, semantic, RLS, confidence scoring, feedback loop

85%+ accuracy target; continuously improving

Connectors

Connect to the platforms that run your business

Databases

  • PostgreSQL
  • MySQL
  • Microsoft SQL Server

Cloud Warehouses

  • Snowflake
  • BigQuery
  • Amazon Redshift

Enterprise Platforms

  • Oracle EBS
  • NetSuite
  • Salesforce

File Stores

  • Amazon S3
  • Google Cloud Storage

Coming Soon

  • SAP
  • Databricks
  • Looker semantic layer import

Pricing

Start small. Scale when ready.

Starter

Analytics teams, proof-of-concept

1 source, 1K queries/mo, SaaS only

Business

Departmental, 5-20 users

5 sources, 10K queries/mo, SSO, audit log

Enterprise

Multi-tenant, full governance, self-hosted

Unlimited sources, BYOL LLM, custom SLA

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?
Yes. Nexatron uses Trino-powered multi-source federation to query Oracle, NetSuite, Salesforce, and cloud data warehouses simultaneously in a single request. Without any ETL or data movement required.
Can Nexatron be self-hosted?
Yes. Nexatron offers a self-hosted deployment option that runs inside your own VPC with your own LLM contract (BYOL). Data never leaves your infrastructure.
What is Nexatron's governed semantic layer?
The governed semantic layer is a centralized business definitions layer where administrators define what terms like 'revenue', 'churn', and 'ARR' mean for their specific business. Every query — from humans and AI agents — is answered using these definitions, ensuring consistency and auditability.
Is Nexatron compatible with AI agents and LLM workflows?
Yes. Nexatron is MCP-native (Model Context Protocol), meaning it can be exposed as a data tool for any AI agent or LLM workflow. Nexatron becomes the governed data layer for enterprise AI stacks.
How accurate are Nexatron's answers?
Nexatron targets 85%+ query accuracy through its multi-layer Accuracy Engine: syntax validation, semantic checks, row-level security enforcement, confidence scoring, and a continuous feedback loop.