On-Prem AI Data Intelligence

Send the schema,
not the data.

SchemaIQ gives AI your database schema and generates query code that runs inside your infrastructure. Deep data intelligence — zero exfiltration.

Request Early Access How It Works

schemaiq — query generated

$ schemaiq query --source postgres://prod-db --ask "monthly revenue by region last 6 months"

Ingesting schema (no data transmitted)...

Generating query code...

-- Generated SQL (runs locally on your infrastructure)

SELECT r.name AS region,

DATE_TRUNC('month', o.created_at) AS month,

SUM(o.total_amount) AS revenue

FROM orders o

JOIN regions r ON o.region_id = r.id

WHERE o.created_at >= NOW() - INTERVAL '6 months'

GROUP BY 1, 2 ORDER BY 2 DESC;

Execute locally? [Y/n]

✓ Query executed on-prem. 0 bytes of customer data left your network.

// the problem

AI needs your data. Your data can't leave.

For regulated industries, sending production data to a cloud AI is a non-starter.

83%

of enterprises cite data sovereignty as top AI adoption blocker

$4.9M

average cost of a data breach in 2024

0 bytes

of your data sent to the cloud with SchemaIQ

99%

reduction in LLM token usage vs. sending raw data

MCP servers and cloud AI tools require access to your actual data — unacceptable for healthcare, finance, telecom, and media companies with strict data governance requirements.

SchemaIQ takes a different approach: send the schema, not the data. AI generates the query. You run it locally. Insights stay inside your walls.

// how it works

Intelligence without exposure

SchemaIQ keeps your data on-premises while giving you the full power of AI-driven analytics.

STEP 01

Connect Your Data Source

Point SchemaIQ at any backend — Postgres, Snowflake, MySQL, Splunk, and more. Only the schema is read.

STEP 02

Ask in Plain English

Describe what you need. "Show me churn risk by segment this quarter." No SQL required.

STEP 03

AI Generates the Code

SchemaIQ generates optimized, auditable query code. Your data never leaves your infrastructure.

STEP 04

Execute Locally, Get Insights

Run the query on your own infra. Results stay inside. Chain queries across multiple data sources.

// features

Built for data-sovereign enterprises

AI-powered analytics that respects your compliance requirements.

🔐

Zero Data Exfiltration

Schema only. Your production data never touches an external API. Full compliance with HIPAA, PCI, SOC 2, and GDPR.

🗄️

Any Backend

Postgres, MySQL, Snowflake, BigQuery, Redshift, Splunk, MongoDB, REST APIs. One interface, all your data sources.

🔗

Cross-Source Correlation

Chain queries across multiple backends to surface insights that live in the gaps between your systems.

📋

Auditable Query Code

Every query is generated code you can inspect, review, and version control. No black boxes.

⚙️

Skill Composition

Build reusable intelligence skills that combine schema knowledge from multiple sources into automated workflows.

💬

Natural Language Interface

Ask questions in plain English. No SQL expertise required for your analysts and business teams.

📉

Dramatically Lower Token Costs

Sending a schema is kilobytes. Sending your data is gigabytes. SchemaIQ slashes LLM token usage by orders of magnitude — intelligence at a fraction of the cost.

// integrations

Works with your existing stack

Connect any data source. SchemaIQ handles the translation.

PostgreSQL

MySQL

Snowflake

BigQuery

Amazon Redshift

Microsoft SQL Server

MongoDB

Splunk

Elasticsearch

Oracle

REST APIs

GraphQL

More coming...

Send the schema,not the data.