Question: Can you recommend a platform that allows me to build AI applications with my company's data while ensuring security and compliance?

If you're looking for a platform that lets you build AI applications using your company's data while maintaining security and compliance, Credal is a top contender. Credal provides a range of tools to build AI applications, including workflow assistants and AI chat, all tightly integrated with your data. It's got built-in security and compliance, including SOC 2 compliance and automated redaction of personally identifiable information, so it's a good choice for companies that need to comply with regulations like GDPR and HIPAA.

Another good option is ClearGPT, an enterprise-focused platform that uses generative AI and Large Language Models to offer customizable and secure AI solutions. ClearGPT provides the highest level of control and corporate IP protection while addressing performance, cost, and data governance requirements. It's built on a private network to prevent data leakage and includes role-based access controls, making it a good option for internal enterprise use that requires the highest level of security.

If you want a more personalized AI assistant experience, Glean could be the way to go. The platform creates a single knowledge graph that connects all enterprise data and delivers trusted and personalized answers through Retrieval Augmented Generation technology. Glean includes features like Glean Apps for no-code custom AI agents and assistants, Responsible AI for security and privacy, and a wide range of data connectors. It's designed to increase productivity for teams like engineering, support and sales.

Dataloop is another all-purpose AI development platform that handles data curation, model management and pipeline orchestration. It supports a variety of unstructured data types and has strong security controls that meet GDPR, ISO 27001 and SOC 2 Type II requirements. Dataloop's strong security controls and large toolset make it a good fit for companies that want to speed up AI development without sacrificing security.