Multiplier

Asset managers rely on a sprawling set of data sources such as sellside research, expert calls, channel checks, company financials and trading platforms, but these systems are fragmented and poorly connected. One customer describes trying nearly every tool on the market and ending up with an unwieldy collection of fragmented point solutions, and also attempting to build in-house tools that became a full-time maintenance burden. Another customer states that analysts used to spend 80% of their time gathering information and only 20% acting on it. This leaves investment teams spending most of their effort assembling information rather than making decisions.

Multiplier provides a command center that connects an asset manager's data sources, including platforms like Bloomberg Terminal, FactSet, Snowflake, Aladdin, Tradeweb and dozens of others, building custom connectors where none exist. It deploys frontier AI agents, drawing on models from leading labs that can be swapped on the fly, which learn a firm's specific processes, how it models businesses and where it seeks edge. These agents can research every stock on an ongoing basis, watching for setups or updating projections automatically. The system organizes a firm's file structure into an ontology for fast search by both agents and humans, and all data is hosted on the client's own cloud with zero-data-retention inference rather than being stored by an external provider.