Pints.ai provides a secure, on-premise AI platform for financial institutions to leverage generative AI for research and analytics. Our solution enables advanced capabilities like private LLMs and predictive modeling while ensuring strict data privacy and regulatory compliance.
Funding
$680K 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.
Founders
Product
Problem
The integration of Generative AI in finance presents significant data privacy challenges, as sensitive financial information must be processed securely. Traditional AI solutions often require data to leave the organization's controlled environment, creating compliance risks and hindering adoption.
Solution
Pints.ai offers a secure, on-premise or private cloud financial research platform designed to enable AI-driven insights while maintaining strict data privacy. Our orchestration platform seamlessly integrates with existing data systems to optimize financial workflows. We specialize in delivering next-generation AI research capabilities, including private models, multi-modality, predictive analytics, and risk assessment, all within a controlled and secure environment. This approach allows financial institutions to leverage advanced AI without compromising data sovereignty or regulatory compliance.
Target Audience
Our primary customers are financial institutions, including banks, investment firms, and hedge funds, seeking to implement advanced AI and Generative AI solutions while adhering to stringent data privacy and security requirements.
Features
- Secure, on-premise or private cloud deployment for complete data control.
- Orchestration platform for seamless integration with diverse financial data systems.
- Development of private, compact Large Language Models (LLMs) optimized for financial services.
- Capabilities in multi-modal data analysis, predictive analytics, and quantitative risk assessment.
- Localized deployment of Compact Language Models (CLMs) to reduce compute costs by up to 40%.
- End-to-end data security and privacy protocols, ensuring data never leaves defined boundaries.
- Consulting services for AI product development, strategy, governance, and roadmapping.