The scalable foundation can be extended with additional capabilities such as scenario stress testing, portfolio strategy optimization, or portfolio rebalancing.
Meet our client
Client:
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Client’s Challenge
A financial services organization in the Middle East wanted to profitably target a broader, lower-value market segment through an automated investment platform and portfolio management capability. AI-assisted investment research was the first step toward that vision, helping reduce the analytical burden while creating a foundation for future modules.
Our Solution
We designed the architecture for the broader AI-native investment and portfolio management platform, aligning it with the client’s long-term goals. We developed an investment research agent as a core building block, combining LLMs, RAG, data engineering, reliable data ingestion, a chat interface, and persona-based prompt workflows.
Client’s Benefits
The client gained investment research agent with traceable reasoning, helping shorten the analysis time for assets under investigation. The scalable foundation can be extended with additional capabilities such as scenario stress testing, portfolio strategy optimization, or portfolio rebalancing.
