Wavify is a platform for on-device speech AI that allows software engineers to embed speech recognition, wake word detection, and other voice functionalities into their applications. With state-of-the-art models and cross-platform support, Wavify ensures high performance and privacy, as the data never leaves the device. It supports over 20 languages and works across various operating systems, making it versatile and accessible for different tech stacks.

Awan LLM is an innovative language model API provider that delivers unlimited token generation without the usual per-token costs, making it a highly economical choice for developers and businesses. It caters to a universal user base, enabling seamless integration into various applications. The platform's architecture is designed for reliability and accessibility, allowing users to leverage advanced AI technologies easily and efficiently. Whether you’re developing chatbots, automated content creation tools, or intelligent systems, Awan LLM ensures you have the resources needed for scalable performance.

LiteLLM is a comprehensive framework designed to streamline the management of multiple large language models (LLMs) through a unified API. By offering a standardized interaction model similar to OpenAI’s API, users can easily leverage over 100 different LLMs without dealing with diverse formats and protocols. LiteLLM handles complexities like load balancing, fallbacks, and spending tracking across different service providers, making it easier for developers to integrate and manage various LLM services in their applications.

SegAgent is a Python framework that orchestrates AI agents to perform semantic image segmentation through natural language interaction. By combining GPT-based language understanding with the Segment Anything Model (SAM), it converts user prompts—such as “segment the tumor region” or “refine around the edges”—into accurate masks. The agent retains conversational context, supports iterative refinement of segmentation results, and can integrate custom models or post-processing steps. It provides an extensible API, command-line tools, and Jupyter notebook examples. SegAgent accelerates annotation workflows, reduces manual tracing effort, and allows developers to embed conversational segmentation capabilities into broader pipelines or applications.