Direct labor costs ~45% of the total revenue generated from lawn mowing. Graze eliminates 50% or more of the labor costs and 100% of the fuel costs.
Machine learning and computer vision will allow Graze to map job sites, plan and execute mowing paths, avoid obstacles (i.e. trees, people), and collect and apply data to further optimize for precision and efficiency.
Graze mowers are electric with boosted run times from solar panels. Customers will save significantly on fuel and maintenance costs, and will be able to operate effectively and quietly at night.
"Lack of labor is a barrier to growth in the landscape industry. Effective autonomous mowers would allow LandCare to reallocate team resources to spend more time on other landscaping services. The anticipated results being higher margins, improved overall job quality, and higher customer satisfaction & retention.”
#7 largest US Commercial Landscaping Company
$160M Gross Revenue, 2018
1 of 2 Corporate Partners of Graze
CEO, Jensen Landscaping
Exit: sold Jensen to Monarch
EVP, Monarch
BS, Business-Economics, UCLA
Board Member, Miso Robotics
Founder / Inventor, Unlimit Solutions
Head of Product, Motivo Engineering
VP Product & Ops, Equipois
MBA UCLA, MS ME UC Davis
K5 Lead Engineer, Knightscope, Inc.
Equity crowdfunding experience in robotics
BS, Computer Engineering, UC Santa Cruz
Global Head of Rural & Retail Clients, Rabobank
Responsible for the rural banking (primary agriculture) businesses in the Americas, Australia, and New Zealand
Harvard Business School
Co-Founder / Mechanical Engineer, Miso Robotics
SpaceX / Microsoft Surface
5+ years Mechanical Engineer
Built Caltech Electric Car Team
BS Caltech, Mechanical Engineering
We’re using automation to solve large problems.
