Democratizing technology through AI: How Moody’s is leveraging open-sourcing for its new finance platform to help companies implement GenAI use cases quickly and safely

Together with the Fintech Open Source Foundation (FINOS), Moody’s is exploring open-sourcing a generative artificial intelligence (GenAI) platform.

The GenAI revolution in financial services has begun. Firms are beginning to harness its power to transform customer services and make significant efficiency gains. Given the potential to gain a competitive advantage, the GenAI revolution represents a race among market participants to reach new ground ahead of the competition by keeping new technologies locked behind closed doors. However, we at Moody’s are not taking this approach. Instead, following significant investment in our internal GenAI finance platform, we have decided to open-source a portion of it. 

In a GenAI landscape where collaboration — rather than competition — increasingly drives the most meaningful technological advancement, the decision to open-source part of our platform is a strategic one. Making the platform available to the public is helping us build a community of developers, financial institutions, and other stakeholders who not only use the platform but can contribute to its growth.

What’s more, with GenAI’s proliferation, the financial sector has a particular set of constraints to address — regulation, compliance, and security to name a few. By opening our platform, as well as partnering with FINOS, we can most effectively and efficiently tackle these challenges in a way that benefits the entire sector.
 

The benefits of open-sourcing

We have long been aware that in the financial sector, collaboration beats competition. This may be especially true in this sector since data and data protection are paramount. As a result, to us, it was imperative that we create a shared resource everyone could benefit from. 

So why is open-sourcing the answer? First, it is partially due to the nature of the platform itself. Moody’s GenAI finance platform is not like any other software; it is an orchestration system that plays a crucial role in integrating different AI models and data sources. 

Open-sourcing this type of platform is critical since among the biggest challenges in developing and deploying AI applications is orchestrating multiple models and datasets. Without a robust system in place, companies often struggle to get their AI systems to work together effectively. We designed our open-source platform to address this issue, making it easier for financial institutions to build, deploy, and manage their AI applications in a way that their data can be safely used in AI systems, within their private clouds, and merged with other third-party data. This is a key part of Moody’s strategy to help the industry overcome common hurdles in AI adoption.

There is also a range of practical benefits. Most notably, it keeps us at the cutting edge of technology. AI is evolving quickly, and keeping up with the latest advancements requires constant updates and refinements. By open-sourcing the platform, Moody’s can quickly adapt to new innovations. If tomorrow someone in the community develops a groundbreaking feature, it can be incorporated into the platform without delay. This keeps Moody’s and our customers at the forefront of AI technology, making sure we’re always using the latest and most effective tools available.

It also means we can leverage external developers’ expertise. An open-source platform is a community project where developers can contribute new features, fix bugs, and enhance security, improving the platform for everyone. It also means that Moody's doesn't have to shoulder the burden of continuous development alone: The broader community can help identify problems, provide solutions, and keep the platform at the forefront of technology. By sharing this platform, we’re effectively crowdsourcing expertise from outside our walls. At the same time, we’re opening a door for future innovation, where the platform integrates agent-based workflows, GraphRAG technologies, and any new advancement the AI world brings to the industry.

The open-source strategy is not only good for the community but also brings internal benefits as well. Most notably, our GenAI strategy is part of a broader vision to foster a culture of innovation across the firm, whereby each of our 14,000 employees can use the platform to transform their everyday work. 

This may also contribute to talent retention. Top engineers and developers are often attracted to companies willing to engage with the open-source community since it allows them to work on exciting, wide-reaching projects. It also signals to employees that the company is not merely a follower in technology but is willing to lead by example, contributing to the larger tech community. In addition to fostering an innovative culture, it brings practical advantages such as helping improve the engineering quality of GenAI projects because the open-source community demands high standards. Thanks to peer review, external scrutiny, and broader adoption, the code has opportunities to continually improve. 
 

Democratizing technology through AI

The best aspect of open source? Accessibility. Any professional, whether they work at a large financial institution or a small regional bank, can access and modify the platform at no cost. 

The democratization of technology means smaller players in the financial sector — typically without the necessary resources to develop proprietary AI platforms — can use the Moody’s platform. It’s leveling the playing field, giving everyone access to the latest technology, which in turn could accelerate the development of new solutions and drive adoption across every corner of the sector. 

At the same time, Moody’s has structured the platform to increase adoption of our other products and services. While the platform itself is free and open source, it can be integrated with our proprietary data and models through licensing agreements. In practice, this means financial institutions can use the open-source platform to experiment and build their own AI tools. If they find the platform valuable and want to integrate it with Moody’s data and models, all they need to do is purchase a license. This approach makes it easy for companies to transition from experimentation to full-scale adoption, helping Moody’s grow our customer base and business prospects without restricting access to the platform itself.

The financial industry is already using open-source systems in various capacities, and this move represents a continuation of that trend. Many of the components that financial institutions use in their systems today come from open-source libraries. In fact, it’s hard to imagine any company developing machine learning or AI applications without relying on open-source technologies. By contributing our platform to this ecosystem, Moody’s is not only helping others but also making sure our own operations benefit from the latest open-source innovations.

The future of AI in finance is bright, and open-source technology will be at the heart of it. By sharing this platform, Moody’s is helping build that future — one where the best ideas come not from individual companies working in isolation but from a community working together to create something better for everyone.