Key Takeaways
- • Javelin Venture Partners announced new investors in its Javelin Venture Partners V fund, which has $125 million in primary and associated fund commitments dedicated to technology start-ups.
- • UBS joined as an investor through its IB Principal Investments team, marking that team's inaugural investment in a venture fund.
- • The fund plans to invest in approximately 20-25 companies, with initial checks of $500 thousand to $4 million, typically in late Seed or early Series A rounds.
- • Focus sectors include AI, SaaS, marketplaces, consumer internet, fin-tech, prop-tech and digital media.
- • The firm, with over $600 million under management, cites AI as a driver of capital efficiency and early-stage innovation.
Summary
Javed Venture Partners, a San Francisco-based early-stage venture capital firm, announced new investors in Javelin Venture Partners V, a fund with $125 million in primary and associated commitments dedicated to technology start-ups. According to the firm's press release distributed via Business Wire, the fund concentrates on AI, SaaS, marketplaces, consumer internet, fin-tech, prop-tech and digital media.
The fund will target early-stage, high-growth, capital-efficient technology companies, making approximately 20-25 investments with initial checks ranging from $500 thousand to $4 million, typically in late Seed or early Series A rounds. Javelin describes itself as managing over $600 million in total assets and says it has invested in technology companies for 15 years.
UBS is among the new investors, through its IB Principal Investments team, which made its inaugural investment in a venture fund. Fund V is backed by a mix of institutional limited partners and family offices, some of which are investing for the first time. Alex Gurevich, Managing Director at Javelin, said UBS has already worked closely with portfolio companies on financing strategies and AI adoption cycles at large corporations. Ben McLean, Head of Venture Capital for Global Banking at UBS, said the investment is part of the bank's effort to build relationships with founders across its investment banking and wealth management businesses.
Jed Katz, Managing Director, cited two early breakout companies in Fund V, Pair Eyewear and Fello, and named existing portfolio companies including Thumbtack, SmartAsset, MasterClass, Carbon Health, Niantic Labs, Mythical Games, Homeward and HighArc. Noah Doyle, Managing Director, said AI is driving rapid innovation and that the firm will back companies with technological breakthroughs and capital-efficient approaches that use AI in both application and data layers.
The fund will target early-stage, high-growth, capital-efficient technology companies, making approximately 20-25 investments with initial checks ranging from $500 thousand to $4 million, typically in late Seed or early Series A rounds. Javelin describes itself as managing over $600 million in total assets and says it has invested in technology companies for 15 years.
UBS is among the new investors, through its IB Principal Investments team, which made its inaugural investment in a venture fund. Fund V is backed by a mix of institutional limited partners and family offices, some of which are investing for the first time. Alex Gurevich, Managing Director at Javelin, said UBS has already worked closely with portfolio companies on financing strategies and AI adoption cycles at large corporations. Ben McLean, Head of Venture Capital for Global Banking at UBS, said the investment is part of the bank's effort to build relationships with founders across its investment banking and wealth management businesses.
Jed Katz, Managing Director, cited two early breakout companies in Fund V, Pair Eyewear and Fello, and named existing portfolio companies including Thumbtack, SmartAsset, MasterClass, Carbon Health, Niantic Labs, Mythical Games, Homeward and HighArc. Noah Doyle, Managing Director, said AI is driving rapid innovation and that the firm will back companies with technological breakthroughs and capital-efficient approaches that use AI in both application and data layers.
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