Team
DeepFact Labs brings together product, technical, research, and operational leadership around a shared commitment to clearer, evidence-focused online verification.
DeepFactCheck is made by DeepFact Labs, a team of two working across AI research, frontier-model evaluation, data science, and product engineering. It is available now for text-based claim checking, with ongoing improvements focused on making verification clear, useful, and reliable before people share or act on a claim.
Our team combines graduate-level AI expertise, research publications, agentic workflow design, red teaming for frontier models, citation-focused data science, and fast web product development.
We want fact-checking to sit closer to the conversation: useful for viral claims, flexible across more formats and languages, and clear enough that people understand the evidence instead of only seeing a label.
We are building it because checking online claims still feels too slow, scattered, and hard to trust. Our goal is to make reliable verification feel practical for everyday users, while keeping enough depth for claims that deserve a closer look.
