Quilt is an AI-powered platform that enables qualitative analysis at scale by orchestrating prompts across large volumes of data. It helps users focus on creativity and analysis while handling prompt management and data integration. The platform is designed for financial professionals, including public equity and credit analysts, broker research firms, corporate strategy teams, and private investment professionals.
Key Features
- Prompt Orchestration: Automates and scales prompt execution for qualitative analysis.
- Enterprise Security: AES-256 encryption at rest, TLS 1.2+ in transit, VPC, Security Groups, and NACLs native to AWS.
- Pre-built Connectors: Integrates public, third-party, and internal private data sources.
- File Support: Works with presentations, word docs, models, notes, and other file types.
- Education & Support: Provides templates, live helpdesk by ex-financial professionals and ML PhDs, prompt training, and a help center.
Use Cases
- Assess thematic risk exposure and investigate commentary across public equities and credit.
- Shorten time to initiation and generate differentiated broker research.
- Understand industry trends and identify growth opportunities for corporate strategy.
- Achieve thorough due diligence for private investments, filtering for red flags and benchmarking deals.
Who It’s For
- Public equity and credit analysts
- Broker research firms
- Corporate strategy teams
- Private investment professionals
Key Benefits
- Scales qualitative analysis 100x more effectively
- Enterprise-grade security with encryption and AWS-native controls
- Pre-built connectors for public, third-party, and internal data
- Comprehensive education with templates, live helpdesk, and prompt training
