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Generationship Fund I just closed in June 2026, and Rachel Chalmers and Michelle Yi made sure the news hit during Pride Month.
That timing wasn't an accident.
Generationship invests in technical women+ founders building the AI infrastructure layer.
The fund's whole thesis is that the people who get systematically underpriced by venture are exactly the people Rachel and Michelle are backing.
They closed $2.7M against a $2.5M target. 62 LPs on the cap table. 13 portfolio companies already deployed. One markup already on the books, and it's a big one. Edera, the workload isolation company for Kubernetes and AI environments, just took a $15M Series A from Microsoft's M12, marking Generationship's investment up 4x.
The first thing Rachel and Michelle want you to know about Fund I is that it isn't what you think.
It isn't a diversity fund. It isn't an impact fund. It isn't a fund built around a social mission.
It's a fund built on the most boring word in venture capital: math.
"We set out to prove a point about pricing inefficiency, not to make a statement about diversity," Rachel said. "That said, spite is also a factor."
That isn't the voice of a fund chasing an angle. That's the voice of a fund that found one.
The Four Meanings of Generationship
Rachel's an English major by training. The name of the fund has four meanings, and between her and Michelle, they'll tell you about all of them.
The first is the spacecraft. A generation ship is a hypothetical interstellar vessel. A lifeboat that carries everything worth preserving across the void to what comes next. After the last presidential election, that mission got urgent. As the big software companies abandon a decade of investment in technical women+, Generationship is the lifeboat catching them on the way out.
"A spaceship that's also a lifeboat," Rachel says. "FAANG companies are throwing women overboard. They might as well just set fire to money."
The second sits in the macro tide. Generationship names the largest generational wealth transfer in our lifetimes. AI is rewriting who gets to build and who gets to own what they build. Whose hands the wealth lands in matters. The next decade will be defined by which managers picked which side early.
The third is the relationship between the two founders. Michelle and Rachel are a generation apart. They've both watched women ahead of them either kick the ladder away or pull other women up. They chose the second path. The fund's the proof.
The fourth is the podcast they co-host. A Heavybit co-production where Michelle and Rachel interview the operators and founders building the future of AI infrastructure. Like and subscribe.
Four meanings. One fund. Every word doing work.
The Underpriced Thesis
The investment thesis is sharper than most funds writing checks today.
For over a decade, big software companies invested in technical women+. Career engineers and product leaders in infrastructure, AI research, developer tooling, and distributed systems. People with deep technical credibility built inside the largest tech companies on Earth.
In the past 18 months, those same companies have been letting them go.
The talent's on the market. The infrastructure layer of AI is being rebuilt at the same time. That convergence is what Rachel and Michelle built Generationship to capture.
"These founders aren't riding the AI wave," Michelle says. "They're building the infrastructure the wave runs on. That distinction matters, and it's underappreciated by generalist investors."
The thesis in one sentence: technical women+ founders building the AI infrastructure layer are the most systematically underpriced opportunity in venture today.
Rachel and Michelle aren't waiting for the rest of the industry to wake up to that math. The fund's in the deals first.
13 portfolio companies in. The first follow-on round already in motion.
A Generation Apart
A fund manager pair that's a generation apart is rare in venture. Most cofounder pairs are roughly the same age. They came up together, hit the same career milestones at the same time, and built funds together at the same inflection point.
Michelle and Rachel didn't.
Rachel Chalmers is a San Francisco-based investor with a background spanning early-stage venture and corporate venture capital. She grew up in Australia. She's served as Partner at Heavybit, President and Managing Director of Alchemist Accelerator, and Venture Partner at Merian Ventures. Her sourcing network is rooted in the developer infrastructure community, with early involvement in companies including Honeycomb.io, Docker, Aviatrix, LaunchDarkly, and EngFlow. The aggregate market cap across her past investments is roughly $6 billion.
Michelle Yi is a technology leader and investor with 20 years of experience in AI and cloud computing. She was a senior engineer on the original IBM Watson system that competed on Jeopardy. She's since led applied AI initiatives across enterprise and social impact contexts, including work with the American Cancer Society and the United Nations. She serves on the board of Women in Data and is an active supporter of STEM education for underrepresented communities.
Two immigrant women. Both rooted in the technical infrastructure of the AI era. Both with sourcing networks the average emerging fund spends a decade trying to build.
Their partnership started in a room that wasn't theirs.
Sam Ramji, the executive who brought open source to Microsoft and later led product at Google, assembled a brains trust when he was thinking about founding his next company, Sailplane. Rachel and Michelle were both invited.
Neither of them joined Sailplane. But the room created the introduction. And both of them decided that whatever they did next, they wanted to do it together.
What made the partnership click wasn't a deal thesis. It was a values match.
"Profound, enduring values match," Rachel says. "We both love public libraries, curiosity, science, and connection. We're both bored by monocultures, big egos, and unkindness."
The division of labor between Rachel and Michelle emerged naturally from there.
"I've done this before, so I lead on LP outreach and deal flow," Rachel says. "Michelle turned out to be a born natural at diligence and portfolio engagement. Always, and especially when things are challenging, we have each other's backs."
Generationship's what happened next.
The 62 Operators on the Cap Table
The Generationship LP base might be the most operator-led cap table in a VC Lab close to date.
62 senior operators across infrastructure, AI, and developer tooling. These aren't passive checks. The Generationship pitch explicitly committed to LPs who roll up their sleeves and work alongside the portfolio.
LPs meet monthly with portfolio company founders. They source deals. They help with pivots. They send recruiting referrals, customer introductions, and strategic distribution channels. The kind of help that decides whether a portfolio company can compound for ten years.
"As a founder myself and as faculty at Generationship, I see both sides of what Rachel and Michelle are building," says Melody Meckfessel, former CEO of Observablehq and former VP of Engineering at Google. "They back technical founders the way I'd want to be backed. Close enough to contribute and be useful, far enough to let the work breathe. Building technology is a team sport, and Rachel and Michelle are an extension of every founder's team."
The cap table is the moat. Rachel and Michelle know it.
The First 13 Investments
Generationship has already deployed into 13 portfolio companies spanning AI infrastructure, developer tooling, data platforms, and agentic systems.
The headline is Edera, which provides strong workload isolation for Kubernetes and AI environments. Edera just received a $15M Series A led by Microsoft's M12 fund, marking Generationship's investment up 4x in the months since deployment.
"Generationship understood what Edera was building before most people in the market did," says Emily Long, CEO of Edera. "The intro to M12, who led our Series A, was one outcome of that, but the deeper value was having investors who could speak credibly about the problem we were solving."
The remaining 12 portfolio companies represent the full surface area of the AI infrastructure thesis:
- Remyx.ai: experiment orchestration layer for AI teams
- Atuin.sh: developer shell history and sync infrastructure
- Topogy: cloud and AI cost optimization
- Riley AI: data intelligence for revenue growth
- Coval: simulation and evaluation for voice and chat agents
- Arklex: autonomous agents for enterprise workflows
- Bumblebee Networks: next-generation network and edge intelligence
- Aperture Data: vector and graph database for GenAI pipelines
- Syntropi: trust-first video data infrastructure
- Marqov: quantum and HPC workflow orchestration
- HotData: unified query agent for agentic systems
- Inerrata: graph-powered memory and error-resolution layer for AI agents
The pace is deliberate. The thesis is concentrated. The fund's doing the work of a $20M vehicle on a $2.7M base because every dollar Rachel and Michelle deploy is hand-picked.
Beyond the Fund: The Bros, the Podcast, and the Dog
Generationship isn't just a check-writing vehicle. It's a community operating system that Rachel and Michelle built around the fund.
The fund sponsors The Tech Bros, an all-female, all-technical accelerator run by Milette Gillow, now in its second year. The accelerator's the upstream pipeline for the kind of founders Generationship invests in.
The Generationship Podcast, co-produced with Heavybit, is the cultural front door. Each episode features operators and founders building the future of AI infrastructure. Rachel and Michelle co-host. The conversation reaches the technical operator community the fund's built to serve.
And then there's Melbourne, the career-changed guide dog Rachel raised when she discovered he had no interest in working in any capacity. Michelle and her partner Andrew adopted him. He now serves as the official mascot on the Generationship website. He's the most spoiled non-working dog in the AI infrastructure ecosystem.
The VC Lab Story
Most emerging managers walk into VC Lab with the same hesitation. They've spent the better part of a year asking themselves whether to launch a fund alone, with a partner, or not at all. The VC Lab process is built to compress that decision into the right one, fast.
Rachel and Michelle walked in already knowing the partnership. What they didn't know was the playbook.
"VC Lab might be the single smartest professional decision I have ever made," Rachel said.
The Generationship close in three months from kickoff is the proof point. Kickoff was April 2024. First close was July 2024. That made Generationship one of the fastest first closes from VC Lab in recent memory.
The Decile Group platform underneath the program did what the program alone couldn't. The PACT structure for committed LPs. The Hub-managed back office. The fund admin running on agents. The fundraising sprints that pulled the first close from "we're talking to LPs" to "we're wiring funds" in months instead of years.
$2.7M, oversubscribed, ahead of schedule.
Why Generationship Is the Pattern
If you're paying attention to where venture capital is actually headed, Generationship is the case study.
It's small and mighty. $2.7M oversubscribed, not $200M with empty boxes.
It's sharp. A single, specific, defensible thesis. Not a generic deeptech vehicle with no particular edge.
It's operator-led. 62 working LPs with skin in the game, not a fund-of-funds boilerplate roster.
It's fast. The first follow-on round already in motion. Most first funds can't say that at year three.
It's unapologetic. Rachel and Michelle positioned Generationship around alpha, not around impact talking points.
Every emerging fund manager raising in 2026 should look at the Generationship close as a template for what the next decade of venture looks like.
The mega-fund commentary class will tell you it's a terrible time to be a VC. The Generationship close is one of about thirty data points in the past four months that say the opposite. The funds reaching close in 2026 are sharper, smaller, more concentrated, and more operator-led than at any point in the past 15 years.
Generationship is the textbook example.
LP Voices
The Generationship LP base has been one of the most vocal in venture about why this fund matters.
"I'm so proud to be an LP in Generationship, a fund built on the premise that women+ founders in AI infrastructure are a frequently overlooked opportunity in venture today. But it's also not a diversity fund. In this portfolio are well-researched, thoughtful, powerful solutions that use AI in meaningful, sustainable ways," said Catharine Strauss, Generationship LP.
"Excited to be an LP in this fund and support the mission to invest in technical women+ founders in AI infrastructure. 62 LPs, 13 portfolio companies, and a portfolio markup already on the books," said Betty Junod, Generationship LP.
"We looked at our portfolio and saw the emerging pattern: technical women+ who had left FAANG companies and software unicorns," Rachel and Michelle have shared. "Then we watched those companies dismantle DEI and do huge layoffs. We realized everything we've seen so far is just the beginning."
Every LP in the room is saying the same thing in different ways. This is the underpriced thesis nobody else priced in.
What Comes Next
Rachel and Michelle plan to continue the same thesis at a larger scale in future vehicles.
In the meantime, Fund I is actively deploying. Generationship is open to technical women+ founders building infrastructure for the AI shift.
If you're a founder, the front door is generationship.ai.
A Story About Timing
Two founders, a generation apart, met in someone else's brains trust and decided whatever came next, they'd build together.
They built it on math, not on talking points.
They closed during Pride Month on purpose, because the thesis and the timing are the same conversation.
They put 62 operators on the cap table and a follow-on round in motion before most first funds have hired a back-office.
And they made sure the loudest signal in their announcement isn't "we did it." It's "this fund is open, and the next decade of AI infrastructure is going to be built by the people the rest of the market keeps underpricing."
That's the story of Generationship Fund I.
The next chapter is the deals.
About Generationship
Generationship is an early-stage venture capital fund investing in technical women+ founders building software infrastructure at the intersection of AI and enterprise technology. The fund's headquartered in San Francisco. Founded by Michelle Yi and Rachel Chalmers, the fund is anchored by 62 senior operators across AI, infrastructure, and developer tooling. Fund I closed oversubscribed at $2.7M against a $2.5M target, with 13 portfolio companies already deployed and a 4x markup on Edera. Generationship hosts the Generationship Podcast in co-production with Heavybit and sponsors The Tech Bros, an all-female all-technical accelerator. Learn more at generationship.ai.