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QA

QuantumStreet AI

QuantumStreet AI provides a comprehensive, explainable AI platform for professional investors focused on investment and wealth management. The platform leverages proprietary models and data analysis to assist with research, alpha generation, and risk management across global securities. Clients utilize the system to deploy AI-powered indexes, construct optimized portfolios, and gain efficiency in processing market signals and alternative data.

San Francisco, United StatesFounded 2017493K+ followers
Updated 4 months ago

Funding

$2M raised to dateRaised 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

Product

Problem

Professional investors face the challenge of efficiently processing vast amounts of financial data, including news articles and alternative data sources, across a multitude of global securities and asset classes. The costs associated with data acquisition and technology infrastructure can be significant, hindering alpha generation and effective risk management.

Solution

QuantumStreet AI offers a portfolio management platform that leverages IBM Watson and proprietary AI models to analyze millions of news articles, alternative data sources, and traditional financial data. The platform enables professional investors to derive actionable insights for alpha generation and risk management by efficiently processing market signals and sentiment. QuantumStreet AI's no-code platform allows users to create and deploy models rapidly, providing a streamlined system for staying agile and ahead of market trends. The platform is available as a Software as a Service (SaaS) offering for internal use or as a Portfolio as a Service (PaaS) for co-created indices and baskets.

Target Audience

The primary customers are wealth managers, hedge funds, investment banks, and asset managers seeking to enhance their investment strategies, manage risk, and improve process efficiency through AI-driven insights.

Features

  • AI-powered indexes with $7 billion in assets deployed across five continents
  • No-code platform for rapid model creation and deployment
  • Analysis of over 50,000 global companies and asset classes
  • Coverage of news in multiple languages to gauge market sentiment and geopolitical risks
  • Risk models that harness both structured and unstructured data
  • Portfolio construction using machine learning, knowledge graphs, and natural language processing
  • ESG models that incorporate environmental, social, and governance signals
  • API and SDK access to investment insights derived from news and alternative data
This profile is AI-generated and may contain inaccuracies.