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Maveric Systems Named Major Contender in Everest Group’s 2025 Banking IT Assessments

Maveric Systems secures Major Contender status in Everest Group’s 2025 Banking IT assessments, showcasing its 25 years of expertise and AI-driven transformations for financial institutions.

DUBAI, UAE, Jan. 27, 2026 — Maveric Systems, a specialized technology firm in banking and financial services, has been recognized as a Major Contender in Everest Group’s Banking IT Services PEAK Matrix® 2025 and Payments IT Services PEAK Matrix® 2025 assessments. This acknowledgment is part of Everest Group’s effort to evaluate technology providers on their market impact and capabilities, assessing 41 firms in Banking IT Services and 32 in Payments IT Services for these rankings.

The recognition highlights Maveric’s 25-year commitment to the banking sector and its role as a technology services specialist. Positioned as a Major Contender, Maveric combines deep industry expertise with targeted investments in artificial intelligence (AI) and transparent customer engagement strategies. This allows the firm to effectively support financial institutions in navigating the complexities of an increasingly AI-centric landscape.

Maveric’s approach leverages extensive libraries and data models that span retail banking, corporate banking, wealth management, and capital markets. This enables Chief Experience Officers (CXOs) to confidently pursue AI transformations while achieving tangible results in data trust, quality, reliability, and customer intelligence. “This recognition reflects our relentless focus on enabling financial institutions to thrive in their transformation journeys,” said P. Venkatesh, Director and Co-founder at Maveric. “As AI reshapes the industry, we leverage our deep banking expertise to ensure AI technology delivers measurable business outcomes and supports a reliable pathway to an AI-first banking world.”

The company’s AI@Scale framework, alongside proprietary platforms such as Prism, Pulse, InsightHub, and EdgeOps, facilitates a transition for banks from experimental AI implementations to scalable and reliable solutions. By employing proven reference architectures and design patterns, Maveric ensures that AI deployment is not only scalable but also compliant with evolving regulatory standards.

Founded in 2000, Maveric Systems has carved out a niche in the banking and financial services technology space, focusing on operational and technological transformation through AI, data, and automation. The firm claims that its profound industry knowledge allows it to translate complex banking challenges into actionable modernization pathways. Maveric aims to empower CXOs to navigate the intricate landscape of the AI era by providing strategic advisory services, specialized AI talent, and guidance in establishing AI Centers of Excellence.

As financial institutions increasingly embrace AI, Maveric emphasizes the importance of governance and reliability in the implementation of AI technologies, particularly in highly regulated environments. This commitment to responsible AI deployment positions Maveric as a trusted partner for banks looking to innovate safely and effectively.

In light of its recognition in the Everest Group assessments, Maveric is poised to strengthen its position in the banking technology sector, further enabling its clients to realize the full potential of AI. The company continues to focus on delivering transparent and reliable AI solutions that align with long-term business objectives, ensuring that as the industry evolves, its clients remain at the forefront of innovation.

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Marcus Chen
Written By

At AIPressa, my work focuses on analyzing how artificial intelligence is redefining business strategies and traditional business models. I've covered everything from AI adoption in Fortune 500 companies to disruptive startups that are changing the rules of the game. My approach: understanding the real impact of AI on profitability, operational efficiency, and competitive advantage, beyond corporate hype. When I'm not writing about digital transformation, I'm probably analyzing financial reports or studying AI implementation cases that truly moved the needle in business.

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