Bync AI is a revolutionary hiring tool designed to help businesses transform their recruitment processes. It automates resume parsing, ranks candidates using custom algorithms, and provides visual analytics for data-driven hiring decisions. Available exclusively for organizations with business credentials, it ensures that companies can effectively and efficiently identify the best candidates for their needs, saving time and improving overall hiring outcomes.

Multi-Agents System from Scratch provides a comprehensive set of Python modules to build, customize, and evaluate multi-agent environments from the ground up. Users can define world models, create agent classes with unique sensory inputs and action capabilities, and establish flexible communication protocols for cooperation or competition. The framework supports dynamic task allocation, strategic planning modules, and real-time performance tracking. Its modular architecture allows easy integration of custom algorithms, reward functions, and learning mechanisms. With built-in visualization tools and logging utilities, developers can monitor agent interactions and diagnose behavior patterns. Designed for extensibility and clarity, the system caters to both researchers exploring distributed AI and educators teaching agent-based modeling.

Scale Insights provides an advanced AI-driven PPC automation solution specifically engineered for Amazon FBA sellers. It allows users to manage multiple campaigns, gain deep insights into performance, and make data-driven decisions. The platform provides customizable algorithms, real-time data, and detailed analytics to help sellers optimize their advertising strategies and increase their return on investment. Perfect for scaling Amazon businesses efficiently, Scale Insights also offers a 30-day free trial for new users.

Waverly is a deep-tech AI platform designed to power AI-native experiences for social networking. It enables users to create customized content curation algorithms, allowing for a highly personalized and engaging user experience. Waverly's AI technology helps in building trust with users while providing valuable insights and intuitive content management. It's specifically designed for businesses looking to elevate their customer experience and engagement through innovative AI solutions.

Pacman AI offers a fully functional Python-based environment and agent framework for the classic Pacman game. The project implements key reinforcement learning algorithms—Q-learning and value iteration—to allow the agent to learn optimal policies for pill collection, maze navigation, and ghost avoidance. Users can define custom reward functions and adjust hyperparameters such as learning rate, discount factor, and exploration strategy. The framework supports metric logging, performance visualization, and reproducible experiment setups. It is designed for easy extension, letting researchers and students integrate new algorithms or neural network-based learning approaches and benchmark them against baseline grid-based methods within the Pacman domain.