AI and real-time data transform investment research and management

The investment sector is experiencing a shift toward real-time data processing and AI-driven automation. As artificial intelligence becomes more deeply integrated into research and investment workflows, firms are moving away from offline data processing toward requirements for immediate ingestion and querying of vast datasets, including unstructured information like social media and satellite imagery.

To meet these needs, companies like Aerospike are providing high-performance NoSQL database solutions to manage the velocity and variety of data required for real-time fraud prevention and research.

In a related development, AI investment platform Itoflow has secured $2.5 million in pre-seed funding, led by Balderton Capital. The company is developing AI agents designed to automate investment research, risk assessment, and portfolio management. These agents are built to translate a firm’s specific investment approach into governed workflows, allowing teams to scale their operations across multiple asset classes—including equities, bonds, and digital assets—without necessarily expanding their quantitative research staff.