Meet Squadbase

With advances in Large Language Models (LLM), the need to use AI to improve productivity continues to grow. LLM frameworks and SDKs such as LangChain, Mastra, and AI SDK by Vercel, along with Streamlit and Next.js full-stack frameworks can be used to build AI apps. AI apps built in this way are fully customizable and have an immense impact on day-to-day operations.

The question is how to deliver AI apps, as AI apps should often only be shared with a limited set of stakeholders. This is because AI apps for workflow include references to business data and access information to private LLMs. Therefore, the already prevalent public cloud-based hosting platforms have security and data governance concerns and take a lot of effort to configure a secure infrastructure.

Squadbase takes this daunting task off your shoulders and provides a secure infrastructure for AI apps for your organization. Developers can implement best practices for security, role-based access control, log monitoring, user analytics, and feedback collection in a simple flow.