AI designed for real people and real-world risk
We help teams build and test AI systems that interact with people safely, responsibly, and at scale.
Teams we work with
We work with organisations designing, building, or deploying AI systems that directly interact with people.
Our partners include digital health companies, healthcare providers, and technology teams using AI to support behaviour change in high-stakes contexts.
We help teams identify behavioural and safety risks early, strengthen confidence in their AI systems, and support responsible use as those systems move toward real-world deployment and scale.
Our expertise
At Sacher AI, we design and evaluate AI systems that influence human behaviour in safe, responsible ways.
We work with organisations across the full AI lifecycle, from early feasibility and prototyping through to evaluation and real-world deployment. Much of our work focuses on AI systems that interact directly with people, where behaviour change, trust, and safety genuinely matter.
Through our Research and Innovation Lab, we combine behavioural science, applied research, and AI development to help teams identify behavioural and safety risks early, and build confidence that their systems are fit for use in high-stakes environments.
Our work is supported by structured evaluation frameworks and tools, including PromptSafe, our proprietary platform for assessing AI-generated outputs against behavioural and safety criteria during development and testing. We are also developing independent safety oversight approaches designed to support scalable monitoring and assurance of conversational AI systems in health and other sensitive domains, extending evaluation beyond pre-deployment into real-world use.
With deep expertise spanning behavioural science, psychology, and AI safety, we help organisations build AI systems that align with how people actually think and behave, protect users, and perform reliably as they scale across healthcare and beyond.
Our approach
Discover
We work with your team to explore the real behavioural, user, and safety challenges your AI system needs to address. This phase focuses on problem framing, risk discovery, and understanding where AI may help or harm before design decisions are locked in.
Design
We co-design AI systems through a behavioural and clinical lens, shaping how they interact with people and influence behaviour. This includes early testing and iteration to ensure solutions are evidence-informed, appropriate, and safe by design.
Deliver
We evaluate and support AI systems as they move toward real-world use, using structured behavioural and safety criteria to assess readiness, guide iteration, and support responsible deployment at scale.
Client feedback
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