The latest news, updates, and insights from our team on our mission to build AI systems that are safe, transparent, and aligned with human values.
We're introducing the unsafe-eval leaderboard to help compare models for AI safety tasks. Our first results examine frontier models and dedicated classifiers as safety guardrails. Several achieve similar accuracy, but differ substantially in cost, latency and how often they refuse to classify a request. We explore what those differences mean when choosing a model for an application.
TypeSafe does not publish public benchmark scores for Jev, so we ran six public safety benchmarks ourselves. On accuracy, Jev sits in the same band as frontier LLMs; on cost and latency, it is nowhere near them.
Every governance check starts with the same question: what is this conversation actually saying? ClaimExtractor turns free-form AI conversations into atomic, decontextualized claims and intents you can audit, fact-check, and route.
Principled Intelligence was selected by ACN as one of four Italian cybersecurity startups for the Value Creation Program with INNOVIT in San Francisco, during RSAC Conference 2026 week.
Principled Intelligence was selected by ICE to represent Italy at the Italian Pavilion at WAICF 2026, where AI governance, business adoption, and accountable deployment took center stage.
Every AI needs a perimeter. ScopeGuard decides whether a query belongs to your AI service. Fast, multilingual, declarative, and backed by evidence for routing and analytics.
We're thrilled to announce our €1.85 million pre-seed round to accelerate the development of our AI control and governance platform.
Learn how we're transforming LLMs into reliable, transparent AI agents with principle-driven oversight and continuous evaluation.