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STAMP raises $2 million pre-seed to build AI-powered compliance platform

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• 24 November, 2025

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• Saudi Arabia-based regtech STAMP has raised $2 million in pre-seed funding, backed by unknown investors.
• Founded in 2021 by Muyasser Albar and Mohammed Zarei, STAMP specialises in regulatory licensing, registrations, incorporation, and post-incorporation services for Saudi authorities, integrating these processes into a unified interface.
• With the new funding, STAMP aims to advance its artificial intelligence capabilities and continue building a comprehensive regtech solution.

Press release:

STAMP, a Saudi-based regtech startup, announced that it has raised $2 million in a pre-seed funding round to accelerate the development of its AI-powered compliance and corporate operations platform.

Founded in 2021 by Muyasser Albar and Mohammed Zarei, STAMP specialises in regulatory licensing, registration, incorporation, and post-incorporation corporate services. Its core offerings cover applications for licenses, such as Dealing, Managing, Advising, and Arranging, in addition to corporate filings and regulatory processes before Saudi government authorities.

With the new funding, STAMP aims to advance its artificial intelligence capabilities and continue building a comprehensive regtech solution that helps organisations optimise governance, improve compliance readiness, and stay aligned with Saudi Arabia’s evolving regulatory landscape.

STAMP is developing an integrated technology platform that unifies government processes, registration steps, HR workflows, and compliance tasks into a single intelligent dashboard. The solution enhances oversight, increases operational efficiency, and provides companies with a more transparent and structured way to manage legal and regulatory obligations.

This approach reflects the growing demand for RegTech tools that support Saudi companies in navigating increasingly complex corporate requirements. STAMP aims to set a new benchmark for seamless regulatory management across the Kingdom.