Relational Capital, a new San Francisco venture capital firm founded by former Kojo CEO Maria Davidson, has closed its inaugural $50 million fund after less than three months of fundraising. The fund reached its hard cap in early October 2026 and will invest in early-stage companies developing technologies that help businesses adopt artificial intelligence.
The fund was first detailed in an October 22 report by The Wall Street Journal.
Davidson is launching Relational Capital as a solo general partner, with plans to invest in approximately 30 startups.
The firm will typically write checks ranging from $1 million to $5 million, concentrating on pre-seed and seed-stage opportunities.
Who Is Maria Davidson?
Davidson combines experience as a startup founder, institutional investor and angel investor.
Before launching Relational Capital, she spent approximately eight years building Kojo, a construction procurement technology company.
Kojo develops software that helps contractors manage the purchasing of building materials.
Construction companies often rely on disconnected systems to coordinate purchasing, supplier quotes, deliveries and project budgets. Kojo provides a centralized platform connecting procurement workflows with field operations and financial systems.
According to Davidson's public launch announcement, she helped grow Kojo to approximately $7 billion in annual order volume.
That figure represents the value of orders processed through the platform, not Kojo's own annual revenue.
The experience is central to Relational Capital's investment strategy.
Selling software to construction companies requires understanding operational workflows, fragmented purchasing decisions and industries where technological adoption can be slow.
Davidson argues that this background gives her a different perspective from investors who have spent their careers primarily in consumer internet or enterprise software.
Earlier in her career, she worked as chief of staff to Joe Lonsdale at venture capital firm 8VC.
She has also invested personally in companies including Anthropic, AI voice software startup Wispr Flow and startup-focused financial institution Erebor.
Her new firm combines that investment network with experience building technology for a traditional industry.
Who Backed Relational Capital's First Fund?
The $50 million fundraising attracted several established venture investors.
According to The Wall Street Journal, Bain Capital Ventures' emerging managers program served as an anchor investor.
Other backers include General Catalyst, Joe Lonsdale, Spark Capital general partner Yasmin Razavi and institutional investors, including endowments.
The fund's rapid closing is particularly notable because fundraising has become more difficult for first-time venture managers.
Institutional investors have increasingly favored established firms as venture capital distributions have slowed and private companies remain unlisted for longer.
Emerging managers must compete for commitments while building an investment track record from a relatively small portfolio.
Relational Capital reached its $50 million cap despite those conditions.
The successful fundraising demonstrates investor confidence in Davidson's background and investment approach, although it does not establish future investment returns.
Relational Capital's Investment Strategy
The firm's central thesis concerns the adoption of AI rather than the development of frontier foundation models themselves.
A small number of laboratories are building increasingly capable AI systems, but many businesses still struggle to integrate those capabilities into their daily operations.
Relational Capital is targeting founders who understand the operational barriers preventing AI adoption.
The areas Davidson has identified include construction, logistics and manufacturing.
These industries represent large markets but often require software providers to navigate legacy systems, fragmented purchasing processes and complex physical workflows.
For example, an AI application for construction procurement must do more than generate recommendations.
It may need to understand material specifications, connect with suppliers, track changing delivery schedules and integrate with accounting or project management software.
Similarly, logistics automation must interact with transportation systems, operational exceptions and real-world scheduling constraints.
Davidson is interested in companies solving these implementation and distribution problems.
The firm has already made five investments, according to the Journal, although a complete list of portfolio companies has not been publicly detailed in that report.
Why a Solo-GP Fund?
A solo general partner makes investment decisions and leads portfolio relationships without relying on a large partnership structure.
The model can allow faster decisions and more direct involvement with founders.
For early-stage companies, the investor's operating experience may also provide practical assistance with hiring, go-to-market strategy and enterprise customer acquisition.
However, the structure creates concentration risks.
Investment sourcing, portfolio management and fundraising depend heavily on one individual.
A $50 million fund also has limited capacity to support companies through multiple large follow-on rounds.
Relational Capital will need to decide when to reserve capital for existing investments and when to prioritize new opportunities.
Competition in Early-Stage AI Investing
Relational Capital enters a market with established seed investors including Pear VC, Uncork Capital, First Round Capital and several specialist firms investing in AI applications.
Its proposed differentiation is a combination of traditional-industry operating experience, relationships with institutional investors and an emphasis on AI adoption.
The strategy does not depend on predicting which company will develop the most capable foundation model.
Instead, it depends on identifying businesses capable of turning AI capabilities into products that customers repeatedly purchase.
That may create opportunities in markets overlooked by investors who concentrate on infrastructure and frontier laboratories.
But competition is increasing as more investors recognize the commercial potential of applied AI.
What Will Determine the Fund's Success?
Relational Capital's $50 million close is an early milestone, not a measure of investment performance.
The firm must build a portfolio of companies capable of achieving durable revenue growth and eventually delivering liquidity to investors.
The core question is whether AI applications in traditional industries can scale efficiently despite complex deployment requirements.
Davidson's thesis is that understanding the customer and the distribution problem may matter as much as understanding the underlying AI technology.
Relational Capital's first portfolio will test whether that operating experience translates into better investment outcomes.