Pioneering Safe AI and LLM Solutions for Healthcare
At Posos, our mission is to achieve the perfect balance between safety and innovation in AI and LLMs. We revolutionize healthcare by combining clinical accuracy with the latest AI research.
Our Publications
Our approach
A safety-first and hybrid AI approach
Modular and Controlled AI Systems
Instead of relying on a single black-box model, our specialized NLP tools form a modular AI system leveraging a verified structured database of drug information. This ensures precision and control in healthcare applications.
Explore Our Hybrid AI SystemMultilingual Clinical NER
Our award-winning paper, "Multilingual Clinical NER: Translation or Cross-lingual Transfer?", explores methods for clinical NER in multiple languages without annotated data. Our ClinicalNER model, available on Huggingface, demonstrates high performance and versatility.
Read the Full ArticleOpen Research Commitment
Contributing to Global NLP Understanding
Posos is committed to open research, publishing in international conferences, and open-sourcing our code and models. Our ClinicalNER model has garnered significant recognition and thousands of downloads, reflecting our dedication to transparency and collaboration.
Our difference
Aligning Generative AI
Building Safer, Specialized LLMs
Utilizing our structured, multilingual database, we create safer and specialized LLMs for clinical applications. Our proprietary data, currently undergoing clinical trials, enhances our ability to align LLMs with safety and precision.
Cutting-Edge AI Safety Techniques
We leverage advanced methods like Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO) to drive our research into safer AI models for healthcare. Posos is at the forefront of developing AI prioritizing clinical safety and effectiveness.
Join Us
Shape the Future of AI in Healthcare
Posos invites AI and healthcare experts to join our mission. Collaborate with us to develop AI solutions that are groundbreaking and safe, enhancing healthcare delivery and patient outcomes.