Conviction

Excited to share that Latent has raised $80M to build the clinical reasoning engine that closes the gap between diagnosis and treatment. This round is co-led by @sparkcapital and @transformcptl, with participation from @Conviction, @MCK_Ventures, @generalcatalyst, and @ycombinator. For the first time, AI makes it possible to reason through patient data, interpret drug criteria, extract key evidence, and orchestrate clinical workflows at scale. Latent is that reasoning layer. Today, over 45 of the top U.S. health systems, including Yale New Haven Health, UCSF Health, UCLA Health, Mount Sinai Health System, and Vanderbilt University Medical System all use Latent to perform high-stakes clinical knowledge work. We've helped over 2 million patients access life-saving medications faster and reduced denials by more than 30%. We're expanding our clinical reasoning engine across every process where clinical knowledge must be translated into action, and building a team to match the scale of the problem.

Is your AI actually finding what you need? @NotionHQ's cofounder @simonlast says most are getting the indexing wrong. You have to try real queries every day. Slack and Google Drive store completely different kinds of information. You can't index them the same way. The companies that get it right are the ones obsessing over every query, every result, constantly tuning the retrieval. Most aren't doing that. Full episode linked in the replies.

You're never ready until you do the thing so bet on yourself. The steeper the learning curve, the faster you grow. For the ones making history, pressure is a privilege. Jess did exactly that while building Glean as the first in her function. Go listen to her learnings in her Good Company ep at @convictionpartners" target="_blank" rel="nofollow noopener">youtube.com/@convictionpar…