<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Biomni-Lab on BIOCOMPUTER</title>
    <link>https://biocomputer.com/tags/biomni-lab/</link>
    <description>Recent content in Biomni-Lab on BIOCOMPUTER</description>
    <generator>Hugo</generator>
    <language>en-us</language>
    <lastBuildDate>Tue, 14 Apr 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://biocomputer.com/tags/biomni-lab/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Phylo&#39;s Biomni Lab Wants to Be the GitHub Copilot of Biology — and a16z Just Bet $13.5M on It</title>
      <link>https://biocomputer.com/blog/phylo-biomni-lab-agentic-biology-a16z/</link>
      <pubDate>Tue, 14 Apr 2026 00:00:00 +0000</pubDate>
      <guid>https://biocomputer.com/blog/phylo-biomni-lab-agentic-biology-a16z/</guid>
      <description>&lt;p&gt;Modern biology&amp;rsquo;s dirty secret isn&amp;rsquo;t the science. It&amp;rsquo;s the workflow. A researcher finishes sequencing, manually exports to a spreadsheet, debugs a Python script that breaks between conda environments, re-creates the experimental setup from scratch, and stitches together three databases that weren&amp;rsquo;t designed to talk to each other. Breakthroughs happen in spite of this infrastructure, not because of it.&lt;/p&gt;&#xA;&lt;p&gt;On February 3, 2026, Kexin Huang and Yuanhao Qu — both Stanford AI and biology PhDs — launched &lt;strong&gt;Phylo&lt;/strong&gt; and its first product, &lt;strong&gt;Biomni Lab&lt;/strong&gt;: an integrated workspace where agentic AI handles the entire research stack from question to result. Alongside the launch came a $13.5 million seed round co-led by Andreessen Horowitz and Menlo Ventures&amp;rsquo; Anthology Fund, with Anthropic as a direct participant.&lt;/p&gt;&#xA;&lt;p&gt;This is not another AI chatbot for scientists. Biomni Lab is a systematic bet that biology is ready for the same AI-native productivity leap that GitHub Copilot delivered to software engineering — and the early data from Ginkgo Bioworks suggests the bet is already paying off.&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
