DETROIT LABS
Professional, Scientific & Technical Services · Primarily MI · PERM filings 2020–2022
Overview
DETROIT LABS is a Professional, Scientific & Technical Services employer that has filed 6 PERM green-card applications between FY2020 and FY2022. That places it #11,722 among all U.S. PERM sponsors in our dataset. 4 were certified (66.7% approval rate), taking about 212 days on average. The most-sponsored role is Software Developers, Applications, with most worksites in MI, and the median sponsored wage is $82,555.
6
PERM filings
66.7%
approval
0
denied
$82,555
median wage
212d
avg processing
Worker background
Across 6 filings with beneficiary data, the most common country of origin is BANGLADESH (33%). (From legacy PERM form data, FY2020–FY2024.)
Top countries of origin
- Bangladesh2
- Mexico1
- India1
- Serbia1
- Nepal1
Prior visa status
- H-1B4
- F-12
Education
- Master's3
- Bachelor's3
PERM filings by year
Occupations & job titles
The occupations DETROIT LABS most often sponsors, with average wages.
| Occupation | Filings | Avg wage |
|---|---|---|
| Software Developers, Applications | 3 | $94,000 |
| Mechanical Engineers | 1 | $82,555 |
| Statisticians | 1 | $70,000 |
| Software Developers | 1 | $85,405 |
Common job titles
Worksite states
Wage range
$80,000
25th
$82,555
median
$97,000
75th
$97,000
90th
Law firms used
- Dickinson Wright, PLLC4
- Dickinson Wright PLLC2
Recent filings
| Case | Job title | Status | Worksite | Decision |
|---|---|---|---|---|
| A-22178-79065 | Application Developer | Certified | Detroit, MI | Jul 27, 2023 |
| A-22178-78654 | Delivery Lead | Certified | Detroit, MI | Apr 5, 2023 |
| A-21174-06113 | Engineer – Lead Software Developer | Certified-Expired | Detroit, MI | Feb 14, 2022 |
| A-21025-45285 | Quality Assurance Engineer | Certified | Detroit, MI | Aug 6, 2021 |
| A-20169-66492 | Application Developer | Certified-Expired | Detroit, MI | Mar 4, 2021 |
| A-20052-21679 | Application Developer | Certified | Detroit, MI | Sep 4, 2020 |
Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.