AiMi is an AI-driven platform that automates mandatory changes in capital markets infrastructure by utilizing a digitally-coded service catalog and an AI-powered automation agent. This technology reduces operational risks and costs while enhancing productivity by replacing manual maintenance tasks with data-driven workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Capital markets firms face increasing operational burdens from mandatory technical changes to trading infrastructure, including exchange mandates, data policies, and connectivity requirements. These changes require significant manual effort, consume expertise, and divert resources from value-added activities. The lack of automation and transparency increases operational risk and total cost of ownership.
Solution
AiMi provides an AI-powered automation platform that streamlines mandatory change management in capital markets infrastructure. The platform uses a digitally-coded service catalog of exchange notices, specifications, and policies, coupled with an AI automation agent, to replace manual maintenance tasks with data-driven workflows. AiMi Intelligence, a generative AI assistant, accelerates decision-making, streamlines troubleshooting, and scales expertise across organizations. The platform integrates with existing systems to provide a connected view of mission-critical connectivity infrastructure, ensuring complete oversight and control.
Target Audience
AiMi targets capital markets firms, including banks, exchanges, fintechs, and managed infrastructure providers, seeking to automate mandatory technical changes, reduce operational risk, and improve efficiency.
Features
- Digitally-coded service catalog of pre-populated exchange notices, specifications, and policies
- AI-powered automation agent to process, categorize, and assess exchange changes
- Natural language chat assistant (Copilot) for platform, interface, and policy questions
- Workflow dashboard to track and manage mandatory changes with a full audit trail
- Retrieval Augmented Generation (RAG) layer for contextual responses and knowledge base integration
- AI-enhanced workflows for task automation, real-time insights, and delivery tracking
- Open-source foundational model to ensure data ownership and sovereignty