IPM launches private cloud AI service with MASORI Therapeutics to accelerate enterprise adoption

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Intelligent Protection Management Corp. has unveiled its IPM Private Cloud AI offering in partnership with MASORI Therapeutics, bringing secure AI application development to enterprises. The service integrates MASORI GO's no-code platform within IPM's private cloud infrastructure, allowing clients to deploy and manage AI-powered applications while maintaining data control and security.

Intelligent Protection Management Corp. debuts secure AI platform for enterprises

Intelligent Protection Management Corp. (NASDAQ:IPM) has launched its IPM Private Cloud AI offering in collaboration with MASORI Therapeutics, marking a strategic move to deliver enterprise-grade AI application development capabilities within a secure environment [1](https://www.newswire.com/news/intelligent-protection-management-corp-l aunches-ipm-private-cloud-ai-offering). The managed technology solutions provider, which holds a market capitalization of $24.2 million and trades at $1.85 per share, aims to address growing demand for AI solutions that don't compromise on security or data control

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The service integrates MASORI GO, an AI application building platform developed by privately-held MASORI Therapeutics, directly into IPM's secure private cloud infrastructure. This integration enables clients to deploy and manage AI-powered applications within their existing workflows while maintaining the cybersecurity standards that enterprise environments demand. For organizations hesitant to move sensitive data to public cloud environments, this private cloud AI service offers a compelling alternative that balances innovation with control.

No-code development environment democratizes AI adoption

At the core of the IPM Private Cloud AI offering sits MASORI GO's no-code development environment, designed to allow organizations to implement AI-driven solutions without requiring extensive technical resources [1](https://www.newswire.com/news/intelligent-protection-management-corp-l aunches-ipm-private-cloud-ai-offering). This approach addresses a critical barrier many enterprises face: the shortage of specialized AI talent and the lengthy development cycles traditionally associated with AI application deployment.

The platform is engineered to provide interoperability with commonly used business tools and data environments, reducing friction in adoption and accelerating time-to-value for IPM's customer base. By embedding AI capabilities within familiar enterprise systems, the solution aims to make AI application development more accessible to business users rather than restricting it to data science teams. The expected use cases span process automation and data analysis, customer engagement, and intelligent decision support—areas where enterprises are actively seeking to operationalize AI capabilities

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Financial context and market positioning

IPM's strategic pivot toward AI-enabled services comes as the company navigates profitability challenges while demonstrating strong revenue growth. The company reported Q1 2026 revenue of $6.4 million, surpassing analyst forecasts by 3.2%, though it still faced a net loss of $0.7 million during the quarter

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. Over the last twelve months, revenue surged 285% to $24.45 million, driven primarily by core managed IT services and procurement revenue streams.

Despite posting a loss of $0.38 per share over the last twelve months, InvestingPro data reveals analysts predict the company will be profitable this year. The undervalued stock assessment from InvestingPro's Fair Value analysis, combined with the company holding more cash than debt on its balance sheet, suggests financial flexibility to invest in new offerings like the private cloud AI service

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Strategic implications for enterprise AI deployment

Jared Mills, President of IPM, characterized the launch as "a meaningful step forward in our strategy to provide accessible and scalable AI solutions," noting that the integrated platform will allow clients to operationalize AI more quickly while leveraging the reliability and security of IPM's private cloud AI infrastructure

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. This positioning suggests IPM is targeting enterprises that recognize AI's potential but remain cautious about public cloud deployments due to regulatory requirements, data sovereignty concerns, or internal security policies.

The company plans phased onboarding for both existing and future customers, designed to ensure seamless integration and minimal disruption to current operations. This measured approach may help IPM convert its existing managed services customer base into AI platform users, potentially creating new recurring revenue streams. With over 20 years of technology innovation history and 8 patents, IPM brings infrastructure expertise to the partnership, while MASORI Therapeutics contributes decades of marketing experience and AI capabilities initially developed for the pharmaceutical industry

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The collaboration represents a broader trend of specialized infrastructure providers partnering with AI platform developers to address enterprise concerns about data control and security. As organizations across sectors seek to build and deploy AI application solutions at scale, the success of offerings like IPM Private Cloud AI may depend on demonstrating clear performance advantages over public cloud alternatives while maintaining the ease of use that no-code platforms promise.

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