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.

Browserable is a web-based AI framework that empowers language models and chatbots to navigate and interact with websites as if they were human users. By generating an OpenAPI specification based on your site's content and structure, Browserable allows agents to fetch pages, follow links, click buttons, fill out forms, and extract structured responses — all via standard API calls. The platform supports dynamic content behind JavaScript, session management, pagination, and custom handlers for specialized workflows. With built-in rate limiting, authentication, and error handling, Browserable simplifies integrating real-time web browsing capabilities into AI applications, chatbots, and data pipelines.

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.

Mechanix is a comprehensive platform that provides developers with powerful tools such as Web Search, Code Execution, and Summarization. These tools are offered through a hosted API, making it easy to integrate them into AI-powered or standard applications without the need for large language models (LLMs). This enables developers to build smarter, more efficient AI applications quickly, leveraging Mechanix's robust and secure APIs.

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.