Protum Builds the Trust Layer for Enterprise AI with Continuous Governance Platform

After 25 years in enterprise transformation, the founder of Protum noticed a recurring problem. Companies were investing six-figure sums in governance reports that ultimately sat unused. As AI Agents began making critical business decisions, he realized that static, point-in-time reports were no longer adequate. This insight led to the creation of a platform that delivers a continuously updated trust record for enterprise AI.

The Problem

While 88 percent of enterprises now use AI, only 6 percent report a measurable business impACT. C-suite leaders are struggling to prove their AI agents are safe, pRoPErly governed, or generating value. This creates a cascade of challenges, particularly for the Chief Information SECurity Officer, who lacks a clear risk Framework. The result is teams operating without consistent trust reporting, Standard risk frameworks, or independent assurance.

The solution

Protum offers an AI governance platform and operating model designed to provide assurance to security, Technology, and board-level stakeholders simultaneously. Its core features include a 42-risk security framework for assessing AI agents, which covers 14 risks not addressed by other frameworks. A six-capability maturity model guides enterprise AI transformation with a strong focus on return on Investment. The platform’s centerpiece is the “Agent Trust Record,” a living proof that an AI system is secure, updated continuously by a scanning engine integrated directly into the development lifecycle.

Market Size

Gartner predicts that AI regulations will cover 75 percent of the world’s economies by 2030, fueling a compliance-driven need for independent trust records. The AI governance software market is estimated to reach US$3.6 billion by 2033. Beyond software, Protum also operates within a much larger services market, where enterprises currently spend six dollars on governance and compliance services for every dollar spent on AI software.

Team

The company is led by founder Sandeep J., who brings 25 years of enterprise transformation experience and has led over 30 engagements for Fortune 500 companies in Asia-Pacific. He is joined by Fany Aji, the product transformation lead, who has more than 14 years of experience building AI products and driving organizational change.

Traction

Protum is currently scoping its first productized assessments with enterprises in Singapore and the Gulf region. Its Intellectual property, including the risk matrix and maturity model, has been built and validated. These frameworks were extracted from over 30 enterprise transformation engagements delivered by its parent company, Massivue. Additionally, a masterclass program has served as an effective lead-generation tool, attracting more than 50 senior leaders from potential CLIent organizations.

competition

Protum operates at the intersection of consulting, AI Governance tools, and risk frameworks. It positions itself as a productized alternative to consulting firms like Deloitte and PwC, which typically deliver one-off governance reports. Compared to AI governance tools such as Credo AI and IBM watsonx.governance, Protum focuses not only on monitoring but also on providing an operating model to remediate identified issues. It builds on established standards like the OWASP and NIST frameworks by offering a system that actively implements and automates them.

Financials

Protum employs a three-tiered revenue model. It starts with a US$15,000toUS$25,000 project-based "Trust Baseline" assessment, which can convert into a US$5,000toUS$15,000 monthly retainer for "Trust Operations," generating recurring revenue. Additional income comes from larger strategic engagements ranging from US$50,000toUS$200,000. The company is currently booTSTrAPPed and is raising a US$2 million seed round, targeting a close by June 2026.

Risks

The company’s pitch for a new category assumes customers prefer a single vendor for assurance, monitoring, and standards implementation. However, enterprise buying for governance is often fRAGmented, involving separate budget holders and approval paths across business, technology, and risk functions. Additionally, while Protum highlights a large adjacent services market, a business model reliant on assessments, retainers, and transformation work can face a structural scaling ceiling. professional services scale differently than pure software, as delivery remains tied to human capacity even with added tooling.