Codebase Technologies and Ovanti Launch AI-Driven Digital Asset Bank
Codebase Technologies has partnered with Ovanti to support the launch of an Agentic Digital Asset Bank designed to enable AI-driven orchestration of digital asset portfolios for both retail and institutional customers.
The collaboration brings together Ovanti’s technology arm, Datamorph, and Codebase Technologies’ Digibanc platform. According to the announcement, Datamorph will integrate its proprietary Web3 infrastructure and autonomous AI capabilities into Digibanc, creating a foundation for digital asset banking services without requiring extensive core infrastructure development.
Built on Digibanc’s cloud-native architecture and supported by more than 650 banking APIs, the platform is intended to use autonomous financial agents to help manage and orchestrate digital asset portfolios. The integration is also expected to allow Ovanti to deploy the solution within its wider digital ecosystem while reducing complexity in implementation.
The partnership comes at a time when financial institutions are accelerating AI adoption. The source noted that Accenture expects nine out of ten organisations to increase AI spending in 2026. It also cited market forecasts projecting the global AI in banking market to reach US$299.09 billion by 2033.
Omar Mansur, Managing Director for APAC at Codebase Technologies, said the move addresses the pressure on financial institutions to innovate faster while managing cost and complexity.
“Our partnership with Ovanti demonstrates how Digibanc enables exactly that, providing a proven digital banking foundation that allows innovators to focus on differentiation,” Mansur said. “In this case, bringing together Agentic AI and digital assets to create an entirely new category of financial services.”
The collaboration is also expected to help Ovanti accelerate its rollout timeline and lower operational overhead, according to the announcement.
Industry Analysis
The launch highlights the growing convergence of AI, Web3 infrastructure and digital banking platforms. By combining autonomous AI capabilities with an established banking architecture, the partnership reflects a broader industry trend toward faster product deployment and more flexible financial infrastructure.
For banks and fintech firms, the use of AI agents in digital asset management may signal a shift toward more automated portfolio orchestration tools, especially as institutions seek to expand digital asset offerings without building systems from scratch. The announcement also reinforces the commercial momentum behind AI in financial services, where cloud-native platforms and API-led architectures are increasingly viewed as key enablers of scale.
As digital asset services continue to mature, partnerships like this may become more common among technology providers and fintech operators aiming to reduce integration time while entering new segments of the market.
