Generative AI

Improving the effectiveness of guardrails and safety mechanisms is essential for preventing unintended harmful outputs from AI models. Our technology helps generative AI companies constrain the types of requests their models respond to, ensuring outputs remain appropriate and compliant. By implementing advanced request filtering and monitoring systems, we prevent models from generating harmful or misleading content. Most AI safety companies focus on model alignment and embedding. Logically takes a more innovative and effective approach. Our expertise extends to addressing intelligence coverage gaps by comparing performance and response of AI models to vectors of the most prevalent, as well as newly emerging, harmful narratives and Tactics, Techniques and Procedures (TTPs). This ensures that far more comprehensive safeguard against potential threats and misuse are in place.

Logically provides insights drawn from our partnerships across the ecosystem, including regulators and government agencies. This ensures that safety mechanisms are not only robust, but also aligned with broader industry trends and regulatory landscapes.

Logically’s technology helps you refine and enhance the quality of training data. By identifying biased, inaccurate, or harmful data points, in alignment with regulation and internal policies, we help improve the overall performance and reliability of generative AI models. Logically also allows you to benchmark and assess the performance of AI models relating to the creation of harmful content, against industry standards and peers. By analyzing and comparing model outputs, Logically provides a holistic view that can help you identify areas for improvement and ensure that your platform maintains a competitive edge while minimizing the risk of harmful activity.