USA, California
Market: Mechanical engineering, Transport, Robotics, Artificial Intelligence, Mobile applications
Stage of the project: Operating business
55 OpenSpot devices live; 35,000 paid driver sessions in 4 months. ~97% uptime; ≈$35k MRR. Signed ≈$1.5M agreement for ~1,050 bays (Nov’25–July’26). U.S. pilots opening in Bay Area & Denver & New York;
Selected by Berkeley Institute of Transportation Studies by priority project for Robo-cars and robo-taxies.
Problem or Opportunity
“Soft” reservations don’t hold real curb space. Poachers take bays, drivers waste time, and land lords lose revenue with disputes and chargebacks.
Solution (product or service)
OpenSpot combines AI with a low-profile curb lock that physically enforces each booking. The lock rises when a bay is reserved and auto-drops for the verified car (phone/BLE/plate). Payments clear in the background; APIs sync with PMS/parking apps; dashboards track uptime, turns, and revenue.
Business model
Gyms/private: Hardware-as-a-service $89–149/bay/mo or purchase $1.5k–2.5k + $39–89 SaaS. Optional rev-share $1–2/visit or $2/hr (gym 70–85%). Member add-on $9–29/mo “Guaranteed Parking Pass.” Flow: member books → lock holds → verified arrival → auto billing → weekly payout.
Street/municipal: Concession rev-share (city 70–90%) or purchase $1.8k–2.8k/bay + $49–99 SaaS. EV bays: add idle fee. Start 5–10 bays; prove ROI, uptime ≥98%.
Incubation/Acceleration programs accomplishment
Silkway Accelerator (Google for Startups) in Astana
Silkroad Residency Program in Palo Alto
