Multi-Agent ColComp is an extensible, open-source framework for orchestrating a team of AI agents to work together on complex tasks. Developers can define distinct agent roles, configure communication channels, and share contextual data through a unified memory store. The library includes plug-and-play components for negotiation, coordination, and consensus building. Example setups demonstrate collaborative text generation, distributed planning, and multi-agent simulation. Its modular design supports easy extension, enabling teams to prototype and evaluate multi-agent strategies rapidly in research or production environments.

Tylo AI uses next-generation knowledge graph technology to seamlessly extract and summarize data from scholarly sources, aiding researchers and corporates to gain deep, actionable insights. The platform's robust AI algorithms streamline finding and tracking vital information, simplifying the innovation process in fields like deep technology, research, and development. This makes Tylo AI an invaluable tool for turning complex academic data into practical, evidence-based insights.

StratosIQ is an AI-powered platform that empowers product managers, startups, and researchers with advanced insights to streamline product development, optimize strategies, and reduce time-to-market. Utilizing custom-trained Large Language Models (LLMs) and Natural Language Processing (NLP), StratosIQ analyzes vast datasets from multiple sources to provide actionable insights into market trends, supply chains, and competitor dynamics. The platform transforms complex data into strategic guidance, enabling proactive responses to market changes and emerging opportunities.