FXC Intelligence Taps AWS to Launch AI-Native Cross-Border Payments Infrastructure

FXC Intelligence is integrating Amazon Web Services (AWS) to deploy its Model Context Protocol (MCP) and modernize its cross-border payments data infrastructure. By adopting Amazon Bedrock, the firm aims to provide financial institutions with AI-native intelligence across fiat and digital asset markets, streamlining how complex transaction data and global benchmarking are accessed and interpreted.

What was announced

FXC Intelligence has selected AWS as its cloud provider to deliver its MCP and upgrade its infrastructure. Central to this move is the adoption of Amazon Bedrock, which powers the firm's AI strategy for research and data capabilities. The company has developed agentic AI capabilities, allowing its market intelligence to be directly accessible to customers’ own AI agents.

The integration utilizes Amazon Bedrock and Amazon Bedrock AgentCore to connect clients' AI tools to FXC’s global benchmarking datasets. This includes an industry context layer with specialized agents for pricing, competitive analysis, and go-to-market planning. The initiative focuses on both traditional fiat and digital asset markets, particularly targeting efficiency in B2B cross-border payments and stablecoin adoption.

Over the next two years, the firm intends to expand these Bedrock-powered features. Planned additions include automated regulatory monitoring and deeper AI-driven market intelligence. The deployment aims to facilitate natural-language querying of data across payments corridors and rapid data extraction, ensuring the scalability and security required by enterprise-level financial institution customers.

"We are delivering the next generation of AI-native intelligence infrastructure for cross-border payments across both fiat and digital assets combining our proprietary data with our deep industry knowledge to deliver a pioneering product to the market that banks, payment companies and the broader industry have been asking us for. AI is becoming fundamental to how organisations analyse markets, identify opportunities and make strategic decisions, and AWS has emerged as a clear leader in enabling that transformation at scale. We’re excited to be working with AWS as we continue to pioneer the future of cross-border payments intelligence."

Daniel Webber, CEO and Founder of FXC Intelligence

The companies involved

FXC Intelligence is a provider of cross-border payments data and intelligence. The firm focuses on delivering insights that help financial institutions navigate the global payments landscape, covering both fiat and digital asset ecosystems. It positions itself as a specialist in global benchmarking and market intelligence datasets. Daniel Webber serves as the firm's CEO and Founder.

Amazon Web Services (AWS), a subsidiary of Amazon, is a widely adopted cloud platform offering a comprehensive suite of services. In the financial services sector, AWS provides infrastructure and AI tools like Amazon Bedrock, which allows companies to build and scale generative AI applications. Mark Smith serves as Head of Payments for Financial Services at AWS. The collaboration highlights AWS's role in supporting fintechs that aim to increase transparency and efficiency in international payments by leveraging cloud-native and AI-driven solutions for traditional and digital asset ecosystems.

What FF News has reported before

FF News has extensively covered AWS’s growing footprint in the financial technology sector. This includes the launch of a hybrid cloud model for ASEAN banking in partnership with UOB. AWS has also been instrumental in legacy modernization, recently collaborating with Thought Machine to launch an AI tool for tier-1 bank migrations.

Furthermore, the platform has supported institutional tokenization, as seen with OpenAssets launching infrastructure on the AWS Marketplace. In the lending space, AWS technology was utilized by LoanPro and AllCloud to deploy Claude-powered AI for loan servicing.

What this means

This move signals a shift in how market intelligence is consumed within the fintech sector. By moving toward an "agentic" model where data is served directly to a client's own AI agents via the Model Context Protocol, FXC Intelligence is acknowledging that human-readable reports are no longer the primary end-product for large institutions. The pressure is now on data providers to ensure their datasets are not just accurate, but machine-ready. For the broader industry, this raises questions about the interoperability of AI agents across different proprietary data silos and whether standardized protocols like MCP will become the default for financial data exchange.