Fintech company AiMi, the trading and market data infrastructure management solutions provider, has introduced a new AI-powered platform designed to automate and optimise access to capital markets infrastructure. The platform helps firms efficiently manage changes to trading venues’ platforms, services, and APIs, addressing the growing complexity and volume of notifications from global exchanges and vendors.
With infrastructure supporting capital markets constantly evolving due to factors like regulatory reforms, technological innovations, and competition for liquidity, managing the thousands of updates and notifications from trading venues requires substantial resources. AiMi’s platform, currently in public beta, codifies these updates into structured data sets, enabling firms to automate workflows, assess potential impacts, and take appropriate action.
Ollie Cadman, CEO and Founder of AiMi, explains to TradingTech Insight how AiMi ensures its automation platform remains adaptable to diverse global exchanges and trading venues with varying standards and protocols.
“It’s exactly this variation in protocols and standards that AiMi looks to address, combining generative AI with a curated library of exchange services and documentation,” says Cadman. “Our Service Catalogue provides the platform with the appropriate level of context and structure to understand the difference between a FIX and Binary interface or a functionality specification and a policy document, for example.”
AiMi’s platform features a digitised service catalogue that automates the extraction and aggregation of key information from change notifications, technical specifications, and data policies. This streamlines the identification and tracking of critical updates, allowing firms to refocus their resources on higher-value projects while maintaining connectivity and handling API changes efficiently.
“AiMi works alongside existing resources as a copilot, accelerating the repetitive, manual tasks that detract them from more value-added, higher-impact activities,” says Cadman. “Human oversight and control is built into the foundations of the platform, providing complete transparency on the role AI is performing and the actions being taken, with appropriate checkpoints and guardrails in place along the way. These same checkpoints exist today, such as peer reviewing code, change management review boards, etc, to avoid any manual errors or issues. We’re helping to accelerate the time between each of these checkpoints, but it’s important these remain, and clients have complete control over each one.”
The natural language copilot chat agent provides real-time answers to queries related to trading venues, market data, and platform policies, enhancing operational efficiency for firms with constrained technology and operations teams.
AiMi addresses potential compliance challenges and risks associated with automating the tracking and management of critical exchange and API changes, explains Cadman. “It’s important that the same guardrails and checks remain in place as of today, such as testing, code reviews, and change management procedures that have been established over many years to reduce the risk of change and prioritise stability,” he says. “We ensure clients have complete control of that process and the relevant checkpoints along the way. Every step taken by the model is fully auditable and transparent to provide a copilot that accelerates manual tasks whilst ensuring the appropriate transparency and oversight.”
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