TLDR: Thomson Reuters has launched Open Arena, a self-service enterprise AI and machine learning platform, leveraging Amazon Web Services (AWS) and Amazon Bedrock. This initiative aims to democratize access to generative AI models for all professionals, regardless of their coding expertise, enabling them to securely develop customized AI solutions. The platform boasts significant adoption, with approximately 70% employee engagement and 19,000 monthly active users, facilitating the creation of thousands of AI solutions for internal workflows and product integration.
Thomson Reuters (TR), a leading AI and technology company, is revolutionizing how professionals interact with artificial intelligence through its innovative platform, Open Arena. Developed in collaboration with Amazon Web Services (AWS) and powered by Amazon Bedrock, Open Arena is a self-service enterprise AI and machine learning (ML) platform designed to democratize access to generative AI models for every professional, including those without coding backgrounds. This strategic move addresses the growing anticipation among professionals, with TR’s 2025 Future of Professionals Report indicating that 80% expect AI to significantly impact their work within five years, potentially boosting productivity by up to 12 hours per week by 2029.
Open Arena has achieved remarkable success since its inception. The platform currently reports approximately 70% employee adoption and serves 19,000 monthly active users. This widespread engagement has led to the creation of thousands of customized AI solutions without requiring coding, which are utilized for internal workflows or integrated directly into Thomson Reuters’ products for customers. The platform offers 100% self-served functionality, allowing users to develop, evaluate, and deploy generative AI solutions independently.
The journey of Open Arena began as a rapid prototype, conceived and developed in under six weeks in early 2023 by TR Labs, the company’s dedicated applied research division. The initial goal was to facilitate internal exploration of large language models (LLMs) and identify unique use cases by combining LLM capabilities with TR’s extensive company data. The platform’s rapid success and increasing demand for new features underscored its potential for broader AI democratization, leading to the development of an enterprise version. This enterprise solution is built on the TR AI Platform, ensuring secure, scalable, and standardized services across the entire AI development lifecycle, significantly accelerating time to production.
Maria Apazoglou, Head of AI Engineering at CoCounsel, emphasized the platform’s core philosophy, stating, “The foundation of the AI Platform has always been about empowerment; in the early days it was about empowering Data Scientists but with the rise of Gen AI, the platform adapted and evolved on empowering users of any background to leverage and create AI Solutions.”
Open Arena effectively tackles four critical enterprise AI challenges: enablement (providing consistent LLM and service provider experience for diverse user personas), security and quality (streamlining quality tracking while adhering to data governance and ethics), speed and reusability (automating workflows and leveraging existing solutions), and resources and cost management (tracking generative AI solution resource consumption for transparency and efficiency).
The platform supports a wide array of AI experiences, including tech support, content creation, coding assistance, data extraction and analysis, proofreading, project management, content summarization, personal development, and translation. It caters to various user profiles, from ‘AI explorers’ who use it for daily tasks like summarizing documents and engaging in LLM chats, to ‘AI creators’ and Subject Matter Experts (SMEs) who build custom AI workflows and evaluate solutions without coding. Developers also benefit from accelerated deployment of new AI solutions.
Thomson Reuters’ choice of AWS as its primary cloud provider for Open Arena was based on several factors: AWS’s comprehensive AI/ML capabilities, particularly Amazon Bedrock’s access to high-performing foundation models from leading AI companies (including AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon), its enterprise-grade security and governance features (such as RBAC for model access, enhanced data handling, and SSO), scalable serverless infrastructure, and a strong existing partnership with AWS.
The architecture of Open Arena prioritizes scalability, extensibility, and security while maintaining simplicity for non-technical users. It features an intuitive no-code interface with a visual workflow builder and pre-built templates. A key aspect is its cross-account architecture, where orchestration is managed in the Enterprise AI Platform AWS account, while flow instances and user-specific data reside in dedicated user AWS accounts. This ensures data privacy and security, aligning with Thomson Reuters’ data sovereignty and enterprise security policies.
Open Arena has evolved from a v1 ‘Classic’ form-based interface to a v2 ‘Chain Builder,’ which offers a robust, visual drag-and-drop workflow builder for complex, multi-step AI workflows. Amazon Bedrock Flows is a core feature of Chain Builder, enabling users to define, customize, and deploy AI-driven workflows that combine multiple prompt nodes, AWS Lambda functions, and sophisticated Retrieval-Augmented Generation (RAG) pipelines.
Looking ahead, Thomson Reuters plans to further expand Open Arena’s capabilities by driving DIY adoption, enhancing workflow flexibility with custom components, developing new templates, improving collaboration features, and extending multimodal capabilities and model integration across the enterprise. Joel Hron, head of AI and Thomson Reuters Labs, noted, “Using AWS, we can now efficiently use our world-class content and expertise with more breadth and efficiency than we could have before.”
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This initiative exemplifies how strategic cloud partnerships can accelerate AI adoption and transform organizational innovation with generative AI.
