11 VCs and 1 funds investing in Sensors
Managing Partner
Union Square Ventures (USV)
Check: USV publishes a firm-wide check range of $1 million to $30 million and invests from the earliest stages through follow-ons. It does not publish Rebecca's individual authority, and the partnership makes decisions collectively without a vote.
Rebecca invests at the edge of large markets, with a consumer and product lens sharpened by USV's network-effects thesis. Her current view links abundant AI intelligence, cheaper hardware, sensors, and edge processing: newly reachable data from bodies, infrastructure, environments, and machines can power self-improving products and physical systems. She also expects open agent infrastructure to enable a wave of useful, creative, networked consumer applications outside dominant model platforms.
General Partner
Cottonwood Technology Fund
Check: Cottonwood publishes a $1M-$3M first-investment range for seed-stage companies.
Alain le Loux contributes to Cottonwood Technology Fund's published strategy: Lead early rounds in patent-based hard-science and deep-technology companies in the U.S. Southwest and Northern Europe.
Partner
Cottonwood Technology Fund
Check: Cottonwood publishes a $1M-$3M first-investment range for seed-stage companies.
Lee Rand contributes to Cottonwood Technology Fund's published strategy: Lead early rounds in patent-based hard-science and deep-technology companies in the U.S. Southwest and Northern Europe.
Principal
Cottonwood Technology Fund
Check: Cottonwood publishes a $1M-$3M first-investment range for seed-stage companies.
Ytsen van der Meer contributes to Cottonwood Technology Fund's published strategy: Lead early rounds in patent-based hard-science and deep-technology companies in the U.S. Southwest and Northern Europe.
Corporate & Investor Relations
Cottonwood Technology Fund
Check: Cottonwood publishes a $1M-$3M first-investment range for seed-stage companies.
Sabine Jansen contributes to Cottonwood Technology Fund's published strategy: Lead early rounds in patent-based hard-science and deep-technology companies in the U.S. Southwest and Northern Europe.
Technology Analyst
Cottonwood Technology Fund
Check: Cottonwood publishes a $1M-$3M first-investment range for seed-stage companies.
Shinjan Dasgupta contributes to Cottonwood Technology Fund's published strategy: Lead early rounds in patent-based hard-science and deep-technology companies in the U.S. Southwest and Northern Europe.
Investment Analyst
Cottonwood Technology Fund
Check: Cottonwood publishes a $1M-$3M first-investment range for seed-stage companies.
Daan Boekhoudt contributes to Cottonwood Technology Fund's published strategy: Lead early rounds in patent-based hard-science and deep-technology companies in the U.S. Southwest and Northern Europe.
SLP & Venture Partner
Cottonwood Technology Fund
Check: Cottonwood publishes a $1M-$3M first-investment range for seed-stage companies.
Charles Call contributes to Cottonwood Technology Fund's published strategy: Lead early rounds in patent-based hard-science and deep-technology companies in the U.S. Southwest and Northern Europe.
SLP & Venture Partner
Cottonwood Technology Fund
Check: Cottonwood publishes a $1M-$3M first-investment range for seed-stage companies.
Alan Abbott contributes to Cottonwood Technology Fund's published strategy: Lead early rounds in patent-based hard-science and deep-technology companies in the U.S. Southwest and Northern Europe.
Managing Partner
Cottonwood Technology Fund
Check: Cottonwood publishes a $1M-$3M first-investment range for seed-stage companies.
Dave Blivin contributes to Cottonwood Technology Fund's published strategy: Lead early rounds in patent-based hard-science and deep-technology companies in the U.S. Southwest and Northern Europe.
Partner
Lux Capital
Check: Firm-level: Lux says it can invest from an initial $100K through high-conviction follow-ons as large as $100M across the company-building arc. This is not Shaq's personal standard check range.
Shaq partners with technical founders building instruments that make invisible physical or biological signals legible and platforms whose downstream value exceeds the value captured by the initial product alone. His experience in aerospace sensing, genomic measurement, liquid biopsy, enterprise technology, and healthcare supports a cross-domain lens on building-block technologies, defensibility, value capture, and the exact job AI performs inside a scientific workflow.