Science you can actually trust
SciTrue reads the world’s research, weighs the evidence, and shows its work, so anyone can tell what’s actually true.
SciTrue started in 2023 with one question: what if anyone could check a claim against the real research in seconds, and see exactly which papers, sentences and evidence stand behind the answer? Not a black-box verdict, but the reasoning shown in full.
Today SciTrue reads across more than 200 million papers to weigh the evidence for and against any claim, surface the assumptions and nuances, rate the credibility of every source, and let you chat directly with any paper. It’s the second opinion we all wish we had when a confident voice tells us what the science “says.”
Where we’re going
Claim verification is only the beginning. We’re building toward a Science OS: an operational system that doesn’t just verify what’s known, but reads the research, designs and applies experiments, draws inferences, and runs deep analyses on the data to help extend the frontier of what we can discover. It will be a trustworthy research partner for everyone, from the curious reader to the working scientist. The science that shapes our world should be transparent, verifiable, and open to all.
The people behind SciTrue
The foundations of SciTrue were laid during his PhD research, where he began developing natural language algorithms designed to prevent scientific misinformation and enable automated reasoning. He holds a PhD in NLP and a second PhD in Mathematics, with experience across academia and industry, and expertise in AI for Science, trustworthy AI, and uncertainty-aware knowledge representation. He is a Research Fellow at the University of Auckland.
A full-stack software developer and Master of Science student at the University of Auckland specialising in trustworthy AI, he holds a Bachelor of Engineering and a Postgraduate Diploma in Computer Science. He works across front-end, back-end and cloud infrastructure, and runs the evaluation and testing that keep SciTrue's engineering robust and trustworthy.
15+ years in product development, strategic project management, and large-scale agile transformations across Europe, Silicon Valley and Aotearoa. An expert in Design Thinking and Lean Startup with strong intercultural skills. He spent two and a half years as Senior Product Manager at the University of Auckland.
Principal Research Scientist at Microsoft Research, specialising in natural language processing and artificial intelligence. His work concentrates on knowledge injection, customising AI copilots with private data, and memory-augmented systems that move LLMs from simple text predictors into true experts. He holds a PhD from the Max Planck Institute for Informatics in Germany, and was previously Lead Research Scientist at the Allen Institute for AI in Seattle.
An AI researcher and engineer specialising in document intelligence, large language models, and intelligent automation. He applies machine learning and generative AI to information extraction and knowledge management, turning cutting-edge research into practical technologies that improve how people and organisations use information.
Specialising in automated reasoning and knowledge acquisition. Formerly a Distinguished Research Staff Member at IBM's T.J. Watson Research Center, where he managed the AI Reasoning Lab, and Vice President for Research at Cycorp, the world's longest-lived foundational AI project, later serving as CEO of Cycorp Europe. He holds a PhD in Computer Science from Carnegie Mellon University and is Professor of Computer Science at the University of Auckland.
A leading expert in eScience and data-driven scientific discovery, focused on reproducibility, knowledge representation, and scalable data systems for research. His work intersects geographic information science (GIScience), computer science, and data infrastructure, and he was previously a professor at The Pennsylvania State University. He is Professor of Computer Science at the University of Auckland and Director of the Centre for eResearch.