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Stargo
About Stargo

We make the world's business data work.

Stargo builds StarDox — Agentic AI that turns fragmented emails, documents, and spreadsheets into clean, validated transactions that flow straight into the systems enterprises already run.

Data → trusted transactions▲ compounding
2016
Founded in Ra'anana, Israel
3
Global offices — IL · DE · US
7
Vertical markets served
15 min
Self-onboarding, no IT
Our story

From freight pricing to enterprise data automation.

Stargo started by solving one painful problem: freight rates buried in inboxes, PDFs, and spreadsheets that took hours to read, price, and book. The same engine that structured those rates became StarDox — a platform that turns any unstructured operational data into governed, auditable transactions.

Today StarDox serves logistics, insurance, fintech, and beyond — extracting, validating, and classifying data so teams cut cost, accelerate operations, and turn information into revenue, with trust and human control at the center.

2016
Founded in Ra'anana to automate freight pricing and shipment data.
2018
Partnered with Mastercard to streamline procure-to-pay in transportation.
2022
Recognized among Israel's most innovative deep-tech & AI companies.
2025
Expanded into Western Europe and North America — Frankfurt and Delaware.
Leadership

Operators and builders behind StarDox.

SL

Joel Sellam

Chief Executive Officer

Sets the vision for agentic data automation and the company's global expansion.

RC

Revenue & Growth

Commercial Leadership

Brings pricing and shipment automation to forwarders, carriers, and enterprises worldwide.

BD

Board & Advisory

Strategy

Guides product strategy, partnerships, and Stargo's move into new regulated verticals.

Meet the leadership team
Partners

Built to fit the systems you already run.

Lobster Logistics.Cloud
Haus61
CargoWise
WebCargo
Mastercard
Explore partnerships

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Start turning messy operational data into trusted transactions.

Connect sample data, see where manual work creates cost and leakage, and find out which workflow to automate first - in a limited, read-only review.