Enterprise AI Analytics
Nexatron connects to the warehouses you already run and generates the semantic layer your AI needs. People and AI agents get the same calibrated, governed answers, in plain English, by voice, or over MCP.
Our partner ecosystem
AI needs the meaning behind your data.
The definitions and join logic that make a number trustworthy live in people's heads and old SQL, not in your warehouse. Without them, AI answers on raw tables and gets confidently wrong.
Nexatron generates your semantic layer.
It reads your existing schemas and queries to build the metric definitions, joins, and rules your AI needs. As the business changes, Nexatron proposes updates and routes them to a person for review, so every change stays versioned and governed.
One question, answered across every source you run.
Enterprise data never lives in one platform. Nexatron joins across your warehouses and business apps with lineage preserved, no warehouse migration required.
Snowflake
BigQuery
Postgres
MySQL
Databricks
PDFs
Google Sheets
Google Docs
Google Drive
Amazon S3
REST APIs
MongoDB
DynamoDB
ERP exports
Salesforce
Google Analytics
Oracle Fusion
NetSuite
MCP serversMore sources on the roadmap.
Three ways to ask. One engine checks every answer.
Conversational BI
Trusted, explainable insights with deep analysis, built-in governance, and lineage on every claim.
AI-powered dashboards
Dashboards built on certified metrics. When a number changes, the lineage shows why.
Analytics agents
Agents that query your data under the asker's permissions, with every call logged and auditable.
A fixed suite of golden questions runs against every release.
Welcome back, Sam
One semantic layer. Everyone gets the same answer.
People asking in chat. Agents calling over MCP. Dashboards subscribing to a metric. All of them hit the same governed semantic layer and get the same number.
Switch between Analyst and Agent: the question and the answer match, down to the same confidence score.
Enterprise expansion ARR accelerated +22%. New pricing lifted mid-market ACV by $14K. The partner channel closed its first two enterprise accounts in week 11.
Your product. Our answer engine.
Drop governed conversational analytics into your own app. Your customers ask under your brand and get answers that respect your security model, with lineage attached.
Any MCP agent becomes a governed analyst.
Connect Claude, Copilot, or your own agents to the Nexatron MCP server. They inherit the same governed context and calibrated confidence your people get. Agent queries run under row-level security and land in the same audit log as human queries. With bring-your-own LLM keys, model calls run on your provider contract.
EMEA and LATAM. EMEA closed at 112% of plan on enterprise expansion; LATAM hit 106% in the first full quarter of the partner program.
Before Nexatron, our exec team waited eleven days for a revenue question to come back from analytics. Now they ask it in Slack and get the answer, with its sources, in under a minute.
Agents follow the same guidelines as people.
Every query runs under row-level security and masking, whether a person or an agent sent it. All of it lands in the audit log.