We specialize in helping extraordinary seed-stage founders on a mission to improve the health of people and planet

San Francisco, CA
Joined September 2016
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Wireframe Ventures retweeted
Today we are announcing a $311M Series E to bring pharma into the 21st century. Enveda started with a thesis: a molecule that evolution has already refined is a better place to begin than one designed from scratch. This year, two first-in-class molecules discovered by Enveda (ENV-294 and ENV-308) had positive readouts in humans. Many more are behind them. We are grateful to @CatalioCapital for leading this round, to our new investors Durable Capital Partners, @ICONIQCapital, @lightspeedvp, Surveyor Capital (a Citadel company), accounts advised by @TRowePrice, @digitalisvc and Alderline Group, and to @BaillieGifford, @PremjiInvest, @trueventures, @KinnevikAB, @FPVventures, @_DimensionCap, @lifeforcecap and @Lux_Capital for continuing to back us. The best is yet to come… Read more: businesswire.com/news/home/2… #Biotech #AI #LearningfromLife
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Wireframe Ventures retweeted
Replying to @enveda
@enveda was built on a very contrarian bet we first believed 7 yrs ago, that AI could help us effectively revisit nature as a vast source of new medicines; @viswacolluru's vision has led to 17 newly discovered drugs, with 2 in the clinic & more to come wsj.com/tech/biotech/ai-biot…
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The opportunity is not to bet against the buildout. It's in what the buildout is missing: the coordination layer, the utilization gap, and all that existing capacity sitting idle. Read the full story from our SF Climate Week panel. wireframevc.com/community/sf…
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And the contracts backing the headline buildout announcements? "Lots of outs — lots of outs. The guys with the biggest money are covered." The risk isn't distributed the way the press releases imply.
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Why does that gap persist? Utilities were paid to guarantee reliability, not maximize utilization. So they always built for peak. Data centers do the same, on the other side of the meter. Both parties overbuilding for the same peak, independently, at the same time.
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The US grid runs at only 30% utilization. Data centers use roughly 35% of what reaches them. End-to-end, the system extracts about 25% of theoretical capacity. So the constraint is real. But so is all the headroom sitting there unused.
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AI needs more power. But most of it already exists. The demand is real, and probably even larger than forecast. But there's a number that should change how you think about this.
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