AI Goes Public: Moscow Exchange Launches In-House RAG Platform

decision-making and give its workforce a cognitive edge.

Rethinking Search: From 18 Minutes to 15 Seconds

The Moscow Exchange (MOEX), a cornerstone of Russia’s financial infrastructure, has slashed the time it takes to locate internal documents—from an average of 18 minutes to just 15 seconds. The improvement is powered by MOEX RAG, a custom-built Retrieval-Augmented Generation system designed to mine over 1,500 internal regulations, manuals, and policy documents.

The system grants AI access to secure internal data repositories and uses a large language model to deliver fast, contextual answers, complete with source references. Relevance rates surpass 80%, and responses arrive near-instantly. The result? Employees spend less time hunting for files and more time solving complex problems. Decision-making is faster and error margins shrink.

From Voice to Visuals: Meet MOEX Insight

MOEX RAG is not a standalone tool. It’s part of a growing AI ecosystem within the Exchange. In May, MOEX debuted its CoPilot assistant, MOEX Insight—an interface that enables users to interact via voice or text to ask layered, multifaceted questions. For example, a department head can say, 'MOEX Insight, show the quarterly derivatives trend and compare it to the previous period.' Within 10 seconds, the system generates a visualized, annotated report that would otherwise take hours to compile manually.

Artificial intelligence is not an experiment for us—it’s a strategic pillar integrated into our overall business logic. We see MOEX RAG as a key building block in our growing AI ecosystem. And if we scale this solution globally, it will remain flexible enough to integrate into virtually any enterprise environment

Igor Alutin

Senior Managing Director for Retail Business and Finuslugi Marketplace at Moscow Exchange

The Finance Sector as Digital Pioneer

While MOEX RAG is an internal deployment, its implications span the financial sector—one of the most digitally agile parts of Russia’s economy. Since 2020, Russian banks have rapidly embraced AI to optimize operations and enhance customer service.

Sberbank has rolled out Sber GPT, Tinkoff applies AI in underwriting, video ID, and call centers, while VTB and Alfa Bank use it for risk analysis, fraud detection, and automated reporting. Natural language processing and robotic process automation are becoming standard.

A national digital ID system supports biometric verification across more than 16 banks, and government institutions are piloting AI for financial audits and public sector governance. Interest in RAG and generative AI is high, though full-scale implementation remains in early stages.

Scaling Beyond Finance

What makes MOEX RAG stand out is its adaptability. The platform can be fine-tuned for deployment in nearly any sector—banking, manufacturing, healthcare, or government. This opens doors to large-scale implementation, both domestically and abroad. RAG systems are especially attractive for organizations handling sensitive data, where security and speed are essential.

Russia’s in-house AI tools may find eager markets in BRICS, CIS, and developing regions of Asia and Africa, where digitalization is a top priority and Western dependencies are increasingly being questioned. These solutions offer a viable alternative to platforms from Microsoft, JPMorgan, or Salesforce—firms that have long used RAG in legal and financial ops. MOEX’s system reflects Russia’s broader push for tech sovereignty through scalable, competitive AI solutions.