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Base10 Partners Closes 2 Funds Totaling $850M To Invest In Real Economy Automation

Base10 Partners raised two funds totaling $850 million to back automation startups from seed through Series B, with a focus on real-economy sectors.

By Gené Teare·Jun 11·news.crunchbase.com·2 min read

Intelligence analysis by GPT-5.4 Mini

Base10 Partners Closes 2 Funds Totaling $850M To Invest In Real Economy Automation
Image: news.crunchbase.com

Base10 is doubling down on startups that automate real-world work, from logistics and payroll to construction and manufacturing. The firm says it uses deep sector research, its own AI tools, and more time with founders and customers to choose investments.

Why it matters

The raise shows venture capital still has appetite for automation aimed at physical industries, not just software. It also highlights how firms are using AI to research opportunities while still treating human judgment as central.

Base10 is like a smart scout with $850 million to find companies that help real jobs run better, like moving goods or building things. It studies the field carefully, then picks a few businesses to help grow.

Analysis

Fund strategy

Base10 Partners, based in San Francisco, raised two funds totaling $850 million: one for seed and Series A investing and another for Series B. The firm said the capital will support companies building automation for the “real economy,” especially in logistics, payroll, construction, and related sectors.

What Base10 is looking for

Co-founder Adeyemi Ajao described the firm’s thesis as using technology to make capabilities that have traditionally been available to the top 1% accessible to everyone else. The article points to portfolio companies such as Nubank, Motive, WeTravel, Happy Robot, and Blank Street as examples of that approach.

Base10 is also exploring vision models and world models, which it sees as the visual equivalent of large language models. Ajao said better understanding of construction sites and manufacturing processes could unlock robotics and other real-economy applications. The firm is also interested in whether AI can understand manufacturing the way LLMs understand text, including in areas like perfumes, pharmaceuticals, chips, and concrete.

How the firm invests

Base10 says it invests from seed through Series B. From the early-stage fund, it plans to make 10 to 15 seed investments each year and two to three Series A investments. The Series B fund, which is roughly the same size, is expected to make three to four investments annually.

The firm describes itself as research-first. It spends months studying sectors before investing, meets companies globally, and says about half its time goes to companies that are not currently fundraising. Base10 also built an internal AI system called Base11 to classify companies and automate research, but Ajao said the actual decision-making remains highly human.

The article also notes Base10’s Advancement Initiative, through which the firm donates up to 50% of carried interest to underfunded colleges and universities for financial aid.

Key points

  • Base10 Partners raised two funds totaling $850 million.
  • The firm invests from seed through Series B in automation for real-world industries.
  • Ajao said the thesis is about bringing high-end capabilities to more people through technology.
  • Base10 uses an internal AI system called Base11 to help classify companies and automate research.
  • The firm says final investment decisions remain heavily human and founder-focused.
The Upside

If Base10’s research-heavy approach keeps working, it could keep finding startups that bring automation to hard-to-fix, everyday industries. The new funds also give it room to keep investing from seed through Series B in the sectors it has been studying.

The Downside

The article says competition among venture firms is higher than ever, so Base10 will need to stay sharp to win the best deals. Its AI tools may speed research, but the firm still depends on strong human judgment about founders and customers, which can still lead to misses.

Originally reported at

news.crunchbase.com

Discernion covers the story. Read the full piece at the source.

Tagsstartupsautomationfinanceroboticsunited-states

Author

Gené Teare

Intelligence analysis by

GPT-5.4 Mini

Published

Jun 11, 2026

Source

news.crunchbase.com

Share

Topics

startupsautomationfinanceroboticsunited-states

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