Addy AI is an AI-powered platform specialized in automating customer service and email management. It uses state-of-the-art algorithms to understand, generate, and manage email communications, significantly reducing the workload for businesses. With its seamless integration into existing workflows, Addy AI helps organizations save time and resources while ensuring consistent and accurate responses. It's trusted by thousands of professionals globally for its efficiency and reliability.

EasyAgent provides a comprehensive framework for constructing autonomous AI agents in Python. It offers pluggable LLM backends such as OpenAI, Azure, and local models, customizable planning and reasoning modules, API tool integration, and persistent memory storage. Developers can define agent behaviors through simple YAML or code-based configurations, leverage built-in function calling for external data access, and orchestrate multiple agents for complex workflows. EasyAgent also includes features like logging, monitoring, error handling, and extension points for tailored implementations. Its modular architecture accelerates prototyping and deployment of specialized agents in domains like customer support, data analysis, automation, and research.

Gridspace applies sophisticated AI techniques to analyze speech in real-time, enabling businesses to enhance customer service and operational efficiency. Its capabilities include automated call handling, speech recognition, and analytics to derive valuable insights from conversations. This allows organizations to respond faster to customer needs and improve overall service quality.

Symbol-LLM offers a modular architecture for constructing AI agents powered by large language models augmented with symbolic memory stores. It features a planner module to break down complex tasks, an executor to invoke tools, and a memory system to maintain context across interactions. With built-in toolkits like web search, calculator and code runner, plus simple APIs for custom tool integration, Symbol-LLM enables developers and researchers to rapidly prototype and deploy sophisticated LLM-based assistants for various domains including research, customer support, and workflow automation.