First Independent LLM Risk Evaluation Service

Revolutionizing AI Evaluation with LatticeFlow AI

AI Insights from LatticeFlow AI is breaking new ground as the first independent LLM risk evaluation service tailored for secure business adoption. This innovative platform offers AI and governance, risk, and compliance (GRC) leaders a wealth of clear, actionable intelligence to facilitate fast, secure, and confident adoption of foundation models.

One of the key distinguishing factors of AI Insights is its emphasis on neutrality, precision, and trust. In a landscape where transparency, relevance, and independence are often lacking in existing leaderboard-driven benchmarks for LLM, this service stands out by providing a reliable alternative. Unlike traditional methods that may be susceptible to manipulation and disconnected from real-world enterprise needs, AI Insights sets a new standard by prioritizing transparency, independence, and real-world relevance.

Dr. Petar Tsankov, the CEO and Co-founder of LatticeFlow AI, highlighted the significance of this development, stating, “For the first time, AI, risk, and compliance leaders can get independent, transparent, and technical evidence about whether a foundation model is fit for use before it’s deployed. AI Insights enables organizations to accelerate AI adoption by ensuring secure and compliant AI deployment.”

Furthermore, AI Insights offers independent evaluations of foundation models that are tailored to meet real-world business requirements. By utilizing a comprehensive set of benchmarks that encompass security, fairness, and regulatory alignment, this platform equips enterprise leaders with the insights needed to make informed decisions regarding AI adoption.

Each evaluation conducted through AI Insights results in clear and actionable recommendations aimed at supporting the secure and compliant adoption of generative AI. The intuitive reports provided by the platform offer a detailed analysis of model behavior, identify critical issues such as bias or vulnerabilities, and present recommendations for mitigation strategies. This approach ensures that organizations have the necessary information to deploy AI solutions confidently.