


Mindhive Global Email Formats
Technology, Information and Internet • 34 Māhuhu Crescent, Level 1, New Zealand • 21-50 Employees
Mindhive Global Email Formats
Mindhive Global uses 3 email formats. The most common is {first name} (e.g., john@mindhive.co.nz), used 60% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name} | john@mindhive.co.nz | 60% |
{first initial} | j@mindhive.co.nz | 32% |
{first name}.{last name} | john.doe@mindhive.co.nz | 8% |
Key Contacts at Mindhive Global
Katherine Sandford
Independent Director
James Bayly
Chief Executive Officer
Damon Maria
Owner
Company overview
| Headquarters | 34 Māhuhu Crescent, Level 1, Auckland, AUK 1010, NZ |
| Website | |
| Keywords | Machine Vision, Defect Detection, Leather Quality, Automated Grading Systems, Leather Grading |
| Founded | 2011 |
| Employees | 21-50 |
| Socials |
About Mindhive Global
At Mindhive Global, we specialize in high-end materials quality assessment powered by machine vision. Whether working with leather or other premium materials, we help keep your production humming without a hitch, always adapting quickly to operational demands without sacrificing quality. Our clients around the globe, especially those in leather tanneries and manufacturing, trust us to ramp up their quality game. With our AI-powered, real-time automated grading systems, tailor-made for spotting defects that the human eye might miss during inspection and selection, they’re cutting down on errors, boosting throughput, and keeping their customers happy.
Employees by Management Level
Total employees: 21-50
Seniority
Employees
Employees by Department
Mindhive Global has 20 employees across 7 departments.
Departments
Number of employees
Funding Data
Mindhive Global has never raised funding before.
Mindhive Global Tech Stack
Discover the technologies and tools that power Mindhive Global's digital infrastructure, from frameworks to analytics platforms.
Security
CMS
JavaScript libraries
JavaScript libraries
Analytics
Reverse proxies
CDN
JavaScript libraries
Analytics
Miscellaneous
Security
Analytics
Frequently asked questions
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