Quantly designs, builds, and deploys custom Generative AI systems specifically for financial institutions. The company integrates these enterprise-ready AI capabilities directly into existing data pipelines and investment workflows for measurable operational efficiency. They provide end-to-end execution, from foundational data infrastructure setup to complex agent orchestration and governance.
Funding
$900.5K 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.
BCCSEFVTFounders
Product
Problem
Investment firms face challenges in efficiently processing vast amounts of financial data from disparate sources to generate timely and accurate investment insights. Manual data collection, analysis, and report generation consume significant analyst time, hindering their ability to focus on strategic decision-making and potentially leading to missed opportunities. Maintaining data security and compliance across various internal and external data sources adds further complexity.
Solution
Quantly offers a customizable investment research platform powered by a proprietary large language model (LLM) designed to automate data analysis and streamline the research workflow for equity and credit analysts. The platform integrates internal research libraries with external market data from sources like S&P Capital IQ and Bloomberg, creating a unified source of truth. Quantly's LLM engine analyzes and structures information, generating actionable insights and ideas tailored to specific team needs. The platform can be deployed on a private cloud, on-premise, or via a hybrid approach, and is SOC 2 Type II certified with GDPR and CCPA compliance.
Target Audience
Quantly targets financial institutions, including investment firms, hedge funds, and asset management companies, seeking to improve the efficiency and accuracy of their investment research process.
Features
- Proprietary LLM specifically designed for financial analysis, achieving a 94% accuracy score on the FinanceBench benchmark
- Seamless integration with internal research libraries and external data sources, including S&P Capital IQ and Bloomberg
- Flexible deployment options: cloud, on-premise, or hybrid
- Customizable implementation aligned with existing systems
- Real-time data synchronization across all integrated sources
- Enterprise-grade security with data privacy maintained through models that don't learn from sensitive information
- SOC 2 Type II certified with GDPR and CCPA compliance
- 24/7 expert assistance throughout the deployment process