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§ Venture Capital · New York City, NY, USA
An early-stage venture capital firm specializing in data and FinTech investments, deploying capital into promising data-oriented companies.
Key people at DataFrame Ventures.
DataFrame Ventures is an early-stage venture capital firm operating from an undisclosed location that specializes in funding data-oriented and financial technology investments. The organization operates by raising capital from limited partners to strategically fund seed and early-stage opportunities within the broader data and financial ecosystems. To date, the firm has deployed a few million dollars in investment capital across a growing portfolio of 17 distinct early-stage startup deals. The core investment strategy focuses heavily on identifying promising data-centric companies and providing them with the necessary initial financial backing to scale their enterprise operations. By targeting these specific sectors, the firm aims to capture value in emerging data and financial markets while actively managing its limited partner commitments. DataFrame Ventures was founded in 2024 by managing partner Jeremy Baksht alongside two additional unnamed founding partners.
DataFrame Ventures has 1 tracked investment across 1 company. The latest tracked deal is $4.0M Seed in Revelio Labs in July 2021.
| Date | Company | Round | Lead Investor(s) | Co-Investor(s) |
|---|---|---|---|---|
| Jul 1, 2021 | Revelio Labs | $4.0M Seed | Kester Keating, JOE Lieberman, Cmap | BoxOne Ventures, OMERS Ventures, Eros Resmini, Jeremy Baksht, Michael Recce, 840 Venture Partners, Bertelsmann Digital Media Investments, NYU Ventures |
Key people at DataFrame Ventures.
DataFrame Ventures is a New York-based venture capital firm founded in 2021 that specializes in early-stage investments, primarily in the Pre-Seed and Seed rounds. The firm’s mission centers on harnessing the transformative power of data to drive business innovation. Their investment philosophy focuses on backing startups that leverage data science, machine learning, artificial intelligence, and developer tools to create advanced data solutions with the potential to disrupt industries and scale rapidly. Key sectors include business intelligence, predictive analytics, data mining, and technology broadly related to data automation and data-intensive applications. By supporting these startups, DataFrame Ventures plays a significant role in advancing the data-driven startup ecosystem, empowering companies to enhance human-augmented workflows and thrive in an increasingly data-centric world[1][2][3].
DataFrame Ventures was established in 2021 in New York. While specific founding partners are not explicitly named in the available sources, the firm’s leadership has a strong background in venture capital with a track record of over 50 investments across technology, healthcare, and fintech sectors. The firm evolved with a clear focus on early-stage companies innovating in data analytics and AI, reflecting the growing importance of data technologies in business transformation. Their approach emphasizes operator-first principles, fostering close collaboration with portfolio companies to maximize growth and impact[1][2][4].
DataFrame Ventures rides the wave of the accelerating data revolution, where businesses increasingly rely on data analytics, AI, and machine learning to gain competitive advantages. The timing is critical as data technologies become foundational across industries, from finance to healthcare to enterprise software. Market forces such as the explosion of data volume, advances in AI, and the need for automation favor firms like DataFrame Ventures that specialize in these domains. By investing in startups that enhance human-augmented workflows and data automation, the firm influences the broader ecosystem by enabling innovation that reshapes how companies operate and compete[1][2].
Looking ahead, DataFrame Ventures is well-positioned to capitalize on ongoing trends in AI and data science, particularly as these technologies mature and integrate deeper into business processes. The firm’s focus on early-stage investments allows it to identify emerging leaders in data-driven innovation. Future growth will likely be shaped by advances in AI capabilities, increased demand for data automation, and the expansion of developer tools that simplify complex data workflows. As the data economy expands, DataFrame Ventures’ influence is expected to grow, further cementing its role as a key enabler of the next generation of data-centric startups[1][2][4].
