If you're looking for a tool that can handle end-to-end encryption for sensitive data and automated workflows for document-centric work, Hebbia is a good option. The platform, which combines Large Language Models (LLMs) and Matrix technology for processing complex queries and large data sets, offers multi-file processing, verifiable AI and automated workflows that are 10x faster and more accurate. Hebbia is geared for financial services, law and pharmaceuticals, where it can extract, structure and analyze unstructured files.
Another option is Document AI from Playmaker. This AI system automates document-based processes by extracting, validating and using data through a single workflow. It can handle many file types and can retrieve documents from emails, APIs or manual uploads. Document AI validates data with custom data validation and integrates with more than 300 systems, so it's a good option for automating workflows and ensuring data security.
If you need something more like an information retrieval system, Qatalog can give you direct answers to everyday questions and validate the source material. It can integrate with a wide range of apps and has enterprise-grade security, including E2E encryption, SOC 2 Type II compliance and more. Qatalog can save you time answering common questions and is designed for fast setup and deployment.
Last, Credal is a secure foundation for building AI applications that use a company's own data. It offers point-and-click integration with a variety of data sources and pre-built connectors. Credal uses end-to-end encryption and is compliant with GDPR and HIPAA, so it's good for businesses that need strong security and AI integration.