Post by Mila - Quebec Artificial Intelligence Institute

AI research has outpaced the infrastructure needed to support open collaboration. Papers accumulate faster than they can be read and findings remain siloed and under-connected. Researchers often find that they are working on adjacent problems too far down the line. Martin Weiss recognized the absence of tools to address this issue and built Tiptree Systems. The platform pairs Lacuna, a library that maps the machine learning research field, with Althea, an AI research collaborator that navigates that map and synthesizes knowledge. The result is an infrastructure layer for scientific collaboration that makes collective knowledge more legible. Tiptree's founders are machine learning researchers who built a tool to solve their own problem. This close proximity is often observed and valued in the founders Mila Ventures chooses to work with. Deep expertise shapes a product's architecture, its priorities, and the credibility with which a team can speak to the market it serves. Mila sits at the center of a culture of open collaboration and information sharing. This makes it a natural environment for a company like Tiptree to emerge. Researchers creating the next generation of machine learning systems first tested the platform and validated its potential. Tiptree gives the Mila community, and by extension, researchers around the world, a much-needed platform to surface research synergies. They can now find the right collaborators and build on established work, rather than starting from scratch. Mila Ventures has five tailored programs for founders who fit the Venture Scientist profile. Are you a thinking of starting a company with your deep tech expertise?

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