Investor Type | Firm |
Industries | PropTech • Businesses Solutions • FinTech (& Financials services) • A.I. (& Big Data) • Blockchain (& Cryptos) • Insurance (& InsurTech) • Payments • Real Estate (& Construction) • LegalTech |
Stages | Seed, Series A, Pre-seed |
Investing | United Kingdom • Switzerland • Europe |
Investment Range | $100,000 - $5,000,000 |
Investment Sweet Spot | $1,500,000 |
Outrun Ventures is an investment fund operating primarily within the realms of technology and financial innovation. With a specialized focus on PropTech, Business Solutions, FinTech & Financial Services, A.I. & Big Data, Blockchain & Cryptos, Insurance & InsurTech, Payments, Real Estate & Construction, and LegalTech, they cater to startups and companies that emerge within these dynamic sectors. Outrun Ventures comes with a rich background in mentoring and fostering entrepreneurial success, underscored by the partners' significant prior experience. Chris Adelsbach, a partner at Outrun Ventures, is a seasoned entrepreneur with a nine-figure exit and an angel investor with a broad portfolio, indicating a deep understanding of the startup ecosystem. Tariq Khan, another esteemed partner, brings a regulatory and transactional legal expertise, along with entrepreneurial insights, which is invaluable for startups navigating complex financial landscapes. Their investment range lies between $100,000 and $5,000,000, with a sweet spot around $1,500,000, particularly targeting stages from pre-seed to Series A. Outrun Ventures' approach is to provide more than just capital, striving for a hands-on involvement to steer early-stage companies towards market leadership positions while maximizing qualitative, ethical, and tangible impacts. Leveraging a network created by the partners' past entrepreneurial endeavors, the firm extends its influence and operational knowledge to contribute significantly to their portfolio companies' growth trajectories, facilitating introductions, partnerships, and strategies crucial for early-stage development and scaling.