Quizdom is a comprehensive solution for creating and grading assessments. The platform leverages advanced AI technology to analyze user-provided documents, extracting key concepts and generating accurate questions. Users can customize the generated questions, export them in various formats, or publish them on the platform. Quizdom also offers AI-assisted grading to save time and ensure accuracy, making it ideal for educators, corporate trainers, interviewers, and certification bodies.

Valuation Expert is an advanced corporate finance app designed to help business owners, financial professionals, and strategists accurately determine the value of their business or investments. With its user-friendly interface and robust features, it simplifies the complicated process of financial valuation, making it accessible to users of all expertise levels. This app not only provides detailed and precise valuation reports but also aids in making informed decisions that drive business growth and investment returns.

Criov is an AI-based application that helps you create custom quizzes quickly and efficiently. It utilizes artificial intelligence and machine learning to generate various types of questions such as multiple-choice, true or false, fill in the blanks, and more. This tool is exceptionally beneficial for educators, trainers, and content creators who need to develop quizzes for educational or training purposes rapidly. By automating the quiz creation process, Criov saves time and ensures quizzes are engaging and interactive.

GoodReply harnesses the capabilities of advanced AI technology to assist businesses in crafting personalized and professional responses to customer reviews across various platforms. This Chrome extension streamlines the review management process, allowing users to create replies that are not only timely but also genuinely engaging. Designed for all types of businesses, GoodReply enhances interaction with customers while ensuring that every reply is tailored to specific feedback.

LifelongAgentBench is designed to simulate real-world continuous learning environments, enabling developers to test AI agents across a sequence of evolving tasks. The framework offers a plug-and-play API to define new scenarios, load datasets, and configure memory management policies. Built-in evaluation modules compute metrics like forward transfer, backward transfer, forgetting rate, and cumulative performance. Users can deploy baseline implementations or integrate proprietary agents, facilitating direct comparison under identical settings. Results are exported as standardized reports, featuring interactive plots and tables. The modular architecture supports extensions with custom dataloaders, metrics, and visualization plugins, ensuring researchers and engineers can adapt the platform to varied application domains.

OpenAgent offers a comprehensive framework for developing autonomous AI agents that can understand tasks, plan multi-step actions, and interact with external services. By integrating with LLMs such as OpenAI and Anthropic, it enables natural language reasoning and decision-making. The platform features a pluggable tool system for executing HTTP requests, file operations, and custom Python functions. Memory management modules allow agents to store and retrieve contextual information across sessions. Developers can extend functionality via plugins, configure real-time streaming of responses, and utilize built-in logging and evaluation tools to monitor agent performance. OpenAgent simplifies orchestration of complex workflows, accelerates prototyping of intelligent assistants, and ensures modular architecture for scalable AI applications.

CommNet is a research-oriented library that implements the CommNet architecture, allowing multiple agents to share hidden states at each timestep and learn to coordinate actions in cooperative environments. It includes PyTorch model definitions, training and evaluation scripts, environment wrappers for OpenAI Gym, and utilities for customizing communication channels, agent counts, and network depths. Researchers and developers can use CommNet to prototype and benchmark inter-agent communication strategies on navigation, pursuit–evasion, and resource-collection tasks.