Ashley Smith has closed a $25 million second fund for Vermilion Cliffs Ventures, the solo-GP firm she founded in 2023, raising the capital in roughly four months largely from existing limited partners TechCrunch.

Fund II nearly doubles the size of Vermilion Cliffs' $13 million debut vehicle, which launched in February 2025 Fortune. The new fund will target AI infrastructure, security, and developer tools, writing checks averaging $500,000 to $1 million. Smith has already deployed capital into six companies and plans to back at least 25 over the fund's two-and-a-half-year investment period.

Smith operates as a solo GP, meaning she is the sole decision-maker and signatory on the fund without a partner or investment committee — a structure that remains uncommon at this fund size, and one where women running solo vehicles are still rare in the venture industry TechCrunch.

Background and track record

Vermilion Cliffs' debut fund backed 35 companies, including cybersecurity startup Keycard and AI infrastructure firm CopilotKit. That portfolio size against a $13 million fund implies check sizes concentrated at the smaller end of pre-seed and seed rounds, a pattern consistent with the firm's stated focus on early, high-velocity deployment rather than concentrated bets.

Smith's background is in marketing rather than traditional venture or engineering pedigrees. She held marketing roles at Twilio, Facebook, GitHub, GitLab, and Parse — the last of which was acquired by Facebook, giving her direct exposure to an M&A exit before she moved into investing. Her firm's website describes her as a former Chief Marketing Officer Vermilion Cliffs Ventures. That trajectory — from CMO roles at developer-facing and infrastructure companies into solo GP investing — informs the value proposition she is pitching to founders: hands-on help with go-to-market strategy, particularly the notoriously difficult sale into developer and security-team buyers.

That specialization is worth flagging as a differentiator in a crowded seed-stage market. Selling developer tools and security products requires navigating technical buying committees, bottom-up adoption dynamics, and procurement cycles that differ meaningfully from typical enterprise SaaS sales. A GP whose operating background is specifically in marketing to those buyer types — rather than generalist enterprise software — occupies a narrower but potentially more defensible niche among the wave of solo capital pools that emerged over the past several years.

What raising quickly signals

Closing $25 million in about four months, with much of it coming from repeat LPs, suggests the debut fund's return profile or deal flow was compelling enough to secure quick re-ups without an extended fundraising cycle. Solo GP funds generally face more LP scrutiny around key-person risk than traditional multi-partner firms, since there is no succession path or shared decision-making to fall back on if the GP is unavailable. A fast close from existing backers is one of the few external signals available to gauge confidence in that single point of failure.

The sector focus — AI infrastructure, security, and dev tools — sits squarely in the current capital allocation trend across venture generally, where infrastructure supporting AI deployment has drawn outsized interest relative to application-layer AI startups. Vermilion Cliffs' inclusion of security alongside AI infrastructure and dev tools reflects a common thesis in this cycle: that AI adoption inside enterprises is creating new attack surfaces and new tooling gaps simultaneously, and that founders building for developers and security teams are addressing adjacent, sometimes overlapping, buyer populations.

In this author's view, the more interesting story here is less about fund size — $25 million is modest by venture standards — and more about what it says about the durability of the solo GP model itself. When solo GPs first proliferated years ago, skepticism centered on whether a single person could sustain diligence quality, portfolio support, and fundraising credibility without institutional backing. Smith's ability to nearly double fund size on a compressed timeline, backed by repeat capital, is a data point suggesting that model has found at least a workable equilibrium for smaller, specialized funds, even if it has not displaced traditional multi-partner structures at scale.

For founders in AI infrastructure, security, and dev tools raising seed rounds in the next two and a half years, Fund II adds another active, sector-focused check-writer to a market that has, if anything, seen an expansion of specialized early-stage capital even as later-stage rounds have grown more selective.