From research to products
A PhD path through Australia, work in computer vision and the move into a fast-moving startup and Snap.
The Bay Signal · Upcoming conversation
Sergey Demyanov brings a builder’s view of AI, from computer vision at Snap to co-founding legal-tech startup Beagle. A candid conversation about turning research into products, earning trust in conservative industries, and what generative video makes possible next.
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From Snapto legal AI.
The person behind the work
Sergey Demyanov is an AI researcher and product builder with a PhD in Computer Science. His path runs from research in Australia and computer vision to machine-learning products at Snap and co-founding Beagle, an AI-native eDiscovery startup. In his recorded conversation with Francisk Hanchar, he brings the perspective of someone who has worked on both consumer AI and the demanding workflows of legal teams: how research becomes a product, why customer trust is hard to earn, and where generative video and digital avatars could lead next.
The company
Beagle is an AI-native eDiscovery platform focused on legal document review and investigations. Sergey co-founded the company after his work at Snap. Its story opens up a wider conversation about applying language models to real legal workflows, handling sensitive information and earning the confidence of enterprise customers.
Visit BeagleEditorial context
Context from Sergey Demyanov’s work. Full episode and show notes are coming soon.
A PhD path through Australia, work in computer vision and the move into a fast-moving startup and Snap.
Litigation workflows, eDiscovery and matching language-model capabilities to repetitive document work.
Sensitive information, product adoption and the questions customers ask before relying on a young company.
Where video and audio models are heading, how avatars may be used and the boundaries that matter.
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