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AI DATA EXTRACTOR

Connect. Extract. Export. Effortlessly

Connect any database or cloud source, query in plain English, and export ready-to-use data without writing SQL or waiting on engineering.

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SEE IT IN ACTION

Watch Data Extraction in Action

See how our platform connects with multiple databases and cloud sources, previews structured data, and exports it instantly in your preferred format.

HOW IT WORKS

Your data, ready to use without the engineering wait

The AI handles extraction, validation, and routing. Your team only sees documents that genuinely need a decision.

01-CONNECT

Plug into your data, wherever it lives

Connect to MySQL, PostgreSQL, MongoDB, AWS S3, Google Cloud, Azure Blob, and more in a few clicks. Read-only by default, set up once, IT-approved so your security team signs off and your business team actually uses it.

Standard APIs only
Read-only access
IT-approved approach
One-time setup

02 · EXTRACT

Just describe what you need

Browse your schema visually or ask in plain English — “give me last quarter’s orders over $500 from US customers.” AI translates your request into the right query, runs it, and shows you a preview before anything leaves the platform.

Plain-English queries
AI-powered
Schema explorer
Live preview

03 · EXPORT

Get it out in the format your team uses

Export to CSV, JSON, Excel, or Parquet. Send straight to a shared drive, your warehouse, or schedule recurring exports so the Monday-morning report just shows up. No manual re-runs, no copy-paste.

CSV, JSON, Excel, Parquet
Scheduled exports
Direct to cloud

Built for messy, mixed, real-world data stacks

From legacy SQL databases to modern cloud warehouses, connect everything in one place and extract across sources without moving data around.

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BUILT FOR EVERY TEAM

Made for the teams that need data, in every industry

Whether you’re closing the books, running a campaign, or auditing a supply chain connect your sources and pull what you need, without waiting on engineering.

ONE CROSS-CHANNEL VIEW

Pull sales, inventory, and customer data into one view

Connect Shopify, your warehouse, your POS database, and S3 in one place. Merchandisers, marketers, and ops leads get the cross-source view they've been asking for without a data team in the middle.

USE CASES

Sales reporting

Inventory analysis

Customer segmentation

Campaign ROI

WHY CHOOSE US

Why teams choose AI Data Extractor

Built for teams who need clean data fast, without giving up the control engineers care about.

Extract only what you need

Scope every extraction by date, region, segment, or any field in your schema. Pull from one source or stitch a slice across five.

Summaries built in

Every extract can include totals, counts, averages, and breakdowns alongside the raw rows. Your team gets answers, not a spreadsheet to build from.

Automated, not manual

Configure once. AI Data Extractor runs your extractions daily, weekly, or end-of-month, so the report is always waiting when your team needs it.

Reliable at scale

Handles millions of rows automatically, paginating, retrying on transient failures, and only delivering complete results. No partial exports. No silent failures.

Extensible as you grow

New field, new source, new format? Configuration changes are enough. No rebuilding pipelines, no engineering tickets, no waiting in the data team’s backlog.

Secure by default

Read-only connections, role-based access, full audit logs, and data that never leaves your environment. Built so security teams approve it on the first review.

QUESTIONS

The things everyone asks

How is this different from writing SQL or using an ETL tool?

ETL tools need engineers and pipelines; SQL needs someone who knows SQL. AI Data Extractor lets anyone pull data in plain English, with full control still available for engineers.

Is our data secure? Where does it actually go?

Your data stays in your environment and is never used to train models. Connections are read-only, access is role-based, and every action is logged.

Which data sources do you connect to?

MySQL, PostgreSQL, MongoDB, S3, Google Cloud, Azure Blob, Snowflake, BigQuery, Redshift, and more. If you don’t see yours, ask — we add connectors regularly.

How long does setup take?

Most teams run their first extraction within an hour. Connect a source, describe what you need, export — no engineering required.

See how IDV would work on your documents.

Bring a sample of your compliance documents vendor certificates, ISO files, insurance docs, anything you verify today. We’ll show how GoWide IDV would extract, validate, and audit them in your environment.

Email:

[email protected]

Our Locations

  • Australia
    Level 30, 35 Collins Street,
    Melbourne,VIC 3000
  • USA
    1720 W Division St,
    Chicago, IL 60622
  • Saudi Arabia
    Ibn Az Zahrawi,
    Irqah, Riyadh 12586
  • India
    A-660, Malviya Nagar,
    Jaipur, RJ 302017

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