Multimodal intelligence
Methods for working across documents, tables, voice, imagery, and structured scientific information.
Applied AI held to a higher standard of evidence.
We explore how intelligent systems can be useful, practical, and accountable in scientific and healthcare settings—where trust is part of the product.
Our research posture
Useful intelligence requires more than a good answer.
EVIDENCEGROUNDED
REASONINGEXPLAINABLE
HUMAN ROLEESSENTIAL
OUTCOMESMEASURABLE
Human-AI collaboration
Interaction models that make review, correction, and expert judgment central to the workflow.
Document understanding
Reliable ways to extract, contextualize, and use rich scientific and operational documents.
Responsible systems
Practical approaches to privacy, transparency, evaluation, and institutional readiness.