API Fabric is designed to simplify the API lifecycle for businesses. By offering an intuitive platform to build, deploy, and manage APIs, it helps organizations reduce complexity and improve efficiency. The platform provides a range of features that support API development, including templates, security measures, and performance monitoring. With API Fabric, businesses can ensure their APIs are scalable, reliable, and secure, enabling better integration and communication between systems and applications.

GenAPI is a cutting-edge Generative AI tool designed to create production-grade APIs swiftly from text input. By converting ideas directly into meticulously designed APIs, GenAPI eliminates the time-consuming and error-prone stages of manual development. The tool focuses on cost-efficiency, reliability, and security, ensuring that the APIs produced are of high quality and ready for production use.

Backmesh is a thoroughly tested Backend as a Service (BaaS) that offers an LLM API Gatekeeper, allowing your app to securely call LLM APIs. Using JWT authentication, configurable rate limits, and API resource access control, Backmesh ensures that only authorized users have access while preventing API abuse. Additionally, it provides LLM user analytics without extra packages, enabling identification of usage patterns, cost reduction, and improvements in user satisfaction.

Secure Agent Augmentation provides a Python SDK and set of helper modules to wrap AI agent tool calls with security controls. It supports integration with popular LLM frameworks like LangChain and Semantic Kernel, and connects to secret vaults (e.g., HashiCorp Vault, AWS Secrets Manager). Encryption-at-rest and in-transit, role-based access control, and audit trails ensure that agents can augment their reasoning with internal knowledge bases and APIs without exposing sensitive data. Developers define secured tool endpoints, configure authentication policies, and initialize an augmented agent instance to run secure queries against private data sources.