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.
TUNiB provides state-of-the-art conversational AI solutions designed to emotionally engage users. Their offerings include the first fully open-source Korean sLLM for commercial use, customizable multi-persona chatbots, and NLP APIs that safeguard platforms from AI-generated hate speech and privacy breaches. These solutions are tailored to provide seamless user experiences and can be integrated swiftly to enhance user engagement and safety.
Spamurai - Spam text detection model Core Features
GOODY-2 is an innovative AI model meticulously crafted to adhere to the highest ethical standards, ensuring maximum safety and responsibility in AI interactions. Unlike other AI models, GOODY-2 evaluates every question through a lens of potential harm, delivering safe and evasive responses. This design makes it ideal for industries and users who prioritize ethical AI interactions. Its commitment to ethical principles makes it a dependable choice for maintaining responsible conversations without risking brand reputation.