About Us
Independent assessment, built by operators who have lived the accountability.
Why MaacVerify exists
Enterprise AI is being deployed faster than the evidence to defend it. Boards, regulators, and Chief Compliance Officers need something audit-grade: a repeatable, independent way to know how a deployed AI system actually behaves under the decisions it is trusted to influence.
MaacVerify is building that standard. We assess deployments, not models, and we deliver evidence a regulated operator can put in front of an examiner without flinching.
How we operate
We work with a credentialed network of domain specialists to shape each evaluation corpus, and we hold ourselves to the same independence standards we apply to the systems we assess. No fit-for-purpose judgments, no vendor entanglements, just a cognitive profile of the deployment as it operates.
Team
Meet the team
Abdalla (AB) Doleh
Founder & CEO
AB founded MaacVerify to build the independent assessment standard the regulated enterprise needs before it can trust AI with consequential decisions. He sets the vision, protocol, and independence posture of the firm, and leads the team building the MAAC methodology into the category-defining certification for enterprise AI deployments.
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Jason Long
VP of Revenue & Strategic Partnerships
Jason leads revenue and strategic partnerships at MaacVerify, translating the independent assessment standard into enterprise relationships with the audit firms, regulated operators, and channel partners that rely on defensible AI evidence. He brings a career of building trusted go-to-market motions in high-stakes, credibility-driven markets, and pairs that with a coach's discipline for aligning teams around outcomes that hold up under scrutiny.
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Rebecca Szetela
General Counsel
Rebecca leads legal and governance at MaacVerify, ensuring the independence, contractual integrity, and regulatory posture that an audit-grade assessment standard requires. She brings deep experience navigating complex legal, regulatory, and public-interest environments, and holds the firm to the same defensible standards it applies to the AI deployments it assesses.
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