| Investor Type | Firm |
| Industries | Software (Web Marketplace Saas..) • BioTech • Businesses Solutions • FinTech (& Financials services) • Energy • IoT (& Wearables) • A.I. (& Big Data) • HealthTech (& Fitness) • Web Security (& Privacy) • Analytics • Autonomous vehicles (& Cars) • Cloud Services (& Infrastructure) • Medical Devices (& Hospital Services) • Healthcare (& Wellness) • Consumer • Woman Focused |
| Stages | Seed, Series A, Series B, Pre-seed |
| Investing | United States • United Kingdom • Canada • Israel |
| Investment Range | $1,000,000 - $10,000,000 |
| Investment Sweet Spot | $5,000,000 |
| Assets Under Management | $150,000,000 |
Sorenson Ventures is an investment firm that focuses on backing promising startups in various sectors, including Software, BioTech, Business Solutions, FinTech & Financial Services, Energy, IoT & Wearables, A.I. & Big Data, HealthTech & Fitness, Web Security & Privacy, Analytics, Autonomous Vehicles & Cars, Cloud Services & Infrastructure, Medical Devices & Hospital Services, Healthcare & Wellness, Consumer, and Women-Focused ventures.
They primarily invest in early-stage companies, such as those seeking Seed, Series A, and Series B funding, but also consider Pre-seed opportunities. Sorenson Ventures aims to empower founders to realize their full potential by having a significant impact on their lives and missions.
They are particularly interested in startups that offer tools used by engineers and those that are in their earliest stages, where they believe they can have the most meaningful and direct impact.
With an investment sweet spot of around $5 million, Sorenson Ventures typically makes investments ranging from $1 million to $10 million, managing assets of $150 million. They value founders with technical expertise who dream big and build companies that can endure the test of time.
The fund's approach is informed by the experience of team members such as Vidya Raman, who have led engineering and product teams to significant revenue achievements and product-market fit. Raman's career includes work at Cloudera, where she enabled ML at scale across various sectors, and involvement with venture-backed enterprise startups that achieved successful exits.





