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Multiplier

Multiplier provides a unified AI command center for asset managers, aggregating channel checks, expert calls, sellside research, financials, and risk data into a single desktop application. The platform deploys frontier AI agents customized to each firm's investment style, running on the client's own cloud with zero-data-retention inference. It builds custom connectors for 50+ sources including MSCI, Bloomberg, FactSet, and Tegus where existing integrations are unreliable.

Traction 10/10
New York, United States · HQ
Founded 20265700+ followers
  • AI Agents
  • Artificial Intelligence
  • Financial Technology
  • Data & Analytics
  • Software Only
Updated 9 days ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Asset managers rely on fragmented, siloed data sources—channel checks, expert calls, sellside research, financials, and risk measures—forcing them to context-switch across tools and maintain brittle, homegrown integrations. Existing point solutions fail to deliver a cohesive workflow, while building and maintaining custom AI infrastructure diverts resources from core investment research.

Solution

Multiplier is a unified AI command center for asset managers, aggregating disparate data sources into a single pane of glass. The platform connects to leading financial data providers, brokers, and internal systems, and where connectors are flaky or nonexistent, Multiplier builds custom ones. It deploys frontier AI agents that are automatically customized to each firm's investment style, learning where the firm seeks edge and how it models businesses. The platform runs on the client's own cloud with zero-data-retention inference, ensuring security and data sovereignty. Multiplier uses a frontier-agent-agnostic architecture, allowing firms to use the best model available at any given time without ecosystem lock-in. All work is controlled from a single desktop application, eliminating context-switching across tools.

Target Audience

Primary customers are asset management firms—including hedge funds, long-only managers, and multi-strategy shops—that need a secure, unified platform to deploy AI agents across their research and portfolio workflows.

Features

  • One command center aggregating channel checks, expert calls, sellside research, company financials, portfolio risk measures, and trade history
  • Custom data connectors built where existing integrations are unreliable or unavailable, covering 50+ sources including MSCI, Bloomberg, FactSet, AlphaSense, Tegus, and Interactive Brokers
  • Frontier-agent-agnostic architecture that uses the best model available at any given time without ecosystem lock-in
  • Automated research agents that can monitor every stock on Earth daily, watching for setups or updating projections
  • Ontology and search layer that organizes and labels the firm's file structure for fast retrieval by agents and humans
  • All data hosted on the client's cloud with zero-data-retention inference from frontier model providers
  • Handwritten and AI-written skills shared across the org, running on virtual machines with exfiltration and prompt-injection protections
  • Self-improving system with eval-driven continual learning to prevent catastrophic forgetting
  • Single desktop application for end-to-end control without context-switching
This profile is AI-generated and may contain inaccuracies.