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Key people at super{set}.
super{set} was founded in 2018 by Vivek Vaidya (Co-Founder).
super{set} is a data and AI startup studio based in San Francisco that focuses on founding, funding, and scaling data and AI businesses.
super{set} was founded in 2018 by Vivek Vaidya (Co-Founder).
Key people at super{set}.
# super{set}: AI-Native Startup Studio Reshaping Early-Stage Venture
super{set} is a San Francisco-based venture studio and capital firm that combines the operational expertise of seasoned founders with institutional capital to co-create AI-native and data-driven software companies[2][4]. Rather than functioning as a traditional venture capital firm that simply writes checks, super{set} operates as a hands-on partner that ideates, co-founds, and scales companies from inception through growth stages.
The firm's mission centers on identifying market pain points and building high-potential businesses with deep technical and operational conviction. super{set} invests predominantly in pre-seed, seed, and Series A stages, with check sizes typically ranging from $500k to $2M[1][6]. The investment philosophy emphasizes "passionate company builders, not just capital"—the team shows up with sweat equity, market insights, and operational involvement rather than passive capital deployment[2].
super{set} was founded in 2018 and is headquartered at 23 Geary Street in San Francisco[3][4]. The firm was established by co-founders Tom Chavez and Vivek Vaidya, both serving as General Partners, alongside Jeremy Klein, also a General Partner[4]. The founding team brought decades of experience in data-driven software and AI technologies, positioning the studio to capitalize on the emerging intersection of artificial intelligence and enterprise software.
The venture studio model itself represents an evolution in how early-stage capital operates. Rather than emerging from a traditional venture capital background, super{set} was built on a foundation of entrepreneurship and venture creation—the partners had lived through the challenges of building companies and understood firsthand the operational gaps that founders face[1]. This origin shaped the firm's distinctive approach of co-founding alongside entrepreneurs rather than observing from the sidelines.
super{set}'s primary differentiator is its venture studio structure, which fundamentally differs from conventional venture capital. The firm doesn't simply evaluate and fund existing teams; instead, it actively participates in company formation from day one. The team works at the whiteboard with founders to understand problems, identify market opportunities, and architect solutions before capital is deployed[2].
The firm maintains long-term, hands-on involvement in portfolio company operations. super{set} partners anticipate staging and sequencing, architect MVPs, source talent, and remain deeply involved through scaling phases. This contrasts sharply with traditional VCs that typically maintain quarterly board seats and limited operational input[2].
With decades of collective experience in data-driven software and AI technologies, super{set} brings specialized domain expertise rather than generalist capital. This focus allows the team to identify technical feasibility, market timing, and competitive positioning with precision[2][4].
Portfolio companies gain access to a network of sister companies and fellow founders within the super{set} family. This ecosystem reduces the need to "reinvent the wheel" and allows companies to leverage collective experience across the portfolio[2].
The firm is highly selective about which opportunities it pursues. Investments only materialize when core foundations align—talented team, validated market truths, proper timing, and the firm's own conviction about the opportunity[2].
super{set} operates at the intersection of several powerful macro trends. First, the venture studio model itself represents a response to founder pain points in traditional venture capital—the recognition that capital alone is insufficient for early-stage success. As the startup ecosystem has matured, the value of operational expertise and co-founder-level involvement has become increasingly apparent.
Second, the firm's exclusive focus on AI and data-driven software positions it at the epicenter of the current technology cycle. The timing is particularly significant: as enterprises increasingly recognize the strategic importance of AI capabilities, demand for specialized, purpose-built data and AI solutions continues to accelerate. super{set}'s ability to identify and build these companies early—before they become obvious to the broader market—creates substantial value creation potential.
Third, super{set} influences the broader ecosystem by demonstrating an alternative capital model. By proving that venture studios can generate returns while providing superior founder support, the firm contributes to a broader shift in how early-stage capital is deployed. This model has gained traction across the industry, with other firms adopting similar approaches.
The firm's recent fundraising activity underscores its market position. super{set} closed its second flagship fund, Superset Capital II, at $90 million in March 2024, just $10 million short of its $100 million target[5]. This demonstrates strong institutional confidence in the model despite a competitive fundraising environment. Recent portfolio activity, including Rembrand's $23 million Series A in January 2025, shows the firm's ability to build companies that attract follow-on capital from tier-one investors[3].
super{set} represents a meaningful evolution in venture capital structure—one where operational excellence and founder-level involvement become the baseline expectation rather than the exception. As the AI software market continues to mature and competition intensifies, the firms that can identify opportunities earliest and build them most effectively will capture disproportionate value. super{set}'s model is specifically architected for this dynamic.
Looking forward, the firm's influence will likely expand in several directions. First, the venture studio model itself will continue gaining adoption, potentially reshaping how early-stage capital operates across the industry. Second, as AI becomes increasingly commoditized, the ability to identify and build differentiated data and AI applications will become the critical skill—precisely where super{set} has positioned itself. Third, the firm's portfolio will likely produce both successful exits and follow-on fund opportunities, creating a virtuous cycle of capital and operational credibility.
The key question for super{set}'s trajectory is whether the venture studio model can scale without losing the operational intensity that makes it effective. As the firm grows its capital base and portfolio, maintaining the hands-on involvement that differentiates it from traditional VCs will be essential. If super{set} can solve this scaling challenge, it will likely emerge as one of the defining venture platforms of the AI era.
