Epigos AI provides an all-in-one solution for businesses looking to harness the power of computer vision. The platform allows users to annotate their data efficiently, train sophisticated AI models, and deploy those models seamlessly into production. It is specifically designed to make complex AI processes accessible, enabling organizations to supercharge their operations with advanced technology, driving automation and effectiveness in various applications such as quality assurance and defect inspection.

OpenDerisk provides a modular, extensible platform to evaluate and mitigate risks in AI systems. It includes fairness evaluation metrics, privacy leakage detection, adversarial robustness tests, bias monitoring, and output quality checks. Users can configure pre-built probes or develop custom modules to target specific risk domains. Results are aggregated into interactive reports that highlight vulnerabilities and suggest remediation steps. OpenDerisk runs as a CLI and Python SDK, allowing seamless integration into development workflows, continuous integration pipelines, and automated quality gates to ensure safe, reliable AI deployments.

AI Testing Agent is a developer-focused AI tool that automates the creation and execution of software tests. By scanning your codebase, it generates unit, integration, and regression tests tailored to your project’s needs. The agent runs these tests automatically, reports failures, and highlights potential vulnerabilities, reducing manual QA effort. Configurable templates and customization options allow teams to fine-tune test strategies, while seamless CI/CD integration ensures tests run on each commit, speeding up development and maintaining high code quality.

APLib is designed to simplify the development of AI-driven autonomous agents within gaming and simulation environments. Utilizing a Belief-Desire-Intention (BDI) inspired architecture, it offers modular components for perception, decision-making, and action execution. Developers define agent beliefs, goals, and behaviors via intuitive APIs and behavior trees. APLib agents can interpret game state through customizable sensors, formulate plans using built-in planners, and interact with the environment via actuators. The library supports integration with Unity, Unreal, and pure Java environments, facilitating automated testing, AI research, and simulations. It promotes reuse of behavior modules, rapid prototyping, and robust QA workflows by automating repetitive test scenarios and simulating complex player behaviors without manual intervention.

Datafarmr is an online data marketplace that facilitates the buying and selling of high-quality data. The platform is designed to provide data buyers with access to reliable datasets, while offering data sellers a place to monetize their data assets. It supports a wide range of data types and ensures transactions are secure and efficient. With various analytics and verification tools, Datafarmr promises accuracy and quality, making it a valuable resource for businesses needing dependable data for decision-making.