Teoresi, Inc.
Professional, Scientific & Technical Services · Primarily MI · PERM filings 2021–2024
Overview
Teoresi, Inc. is a Professional, Scientific & Technical Services employer that has filed 5 PERM green-card applications between FY2021 and FY2024. That places it #13,465 among all U.S. PERM sponsors in our dataset. 3 were certified (60% approval rate), taking about 375 days on average. The most-sponsored role is Software Developers, with most worksites in MI, and the median sponsored wage is $87,000.
5
PERM filings
60%
approval
0
denied
$87,000
median wage
375d
avg processing
Worker background
Across 3 filings with beneficiary data, the most common country of origin is ITALY (67%). (From legacy PERM form data, FY2020–FY2024.)
Top countries of origin
- Italy2
- India1
Prior visa status
- E-22
- H-1B1
Education
- Master's2
- Bachelor's1
PERM filings by year
Occupations & job titles
The occupations Teoresi, Inc. most often sponsors, with average wages.
| Occupation | Filings | Avg wage |
|---|---|---|
| Software Developers | 1 | $87,000 |
| Computer Systems Analysts | 1 | $74,422 |
| Software Developers, Systems Software | 1 | $80,004 |
| Architectural and Engineering Managers | 1 | $146,182 |
| Sales Managers | 1 | $110,822 |
Common job titles
Recent filings
| Case | Job title | Status | Worksite | Decision |
|---|---|---|---|---|
| G-100-24312-460249 | Software Developer-Integration, Scrum Master, Energy & Telec | Certified | Troy, MI | Mar 23, 2026 |
| G-100-23216-239566 | System and ADAS Test and Validation Engineer | Certified - Expired | Troy, MI | Nov 27, 2024 |
| A-22157-66992 | Business Development Manager-Test and Validation in Electro Mobility | Certified | Schaumburg, IL | Sep 11, 2023 |
| A-22171-74846 | Business Development Manager-Model Based Design and Embedded Software-Automotive and Transportation | Certified | Troy, MI | Apr 12, 2023 |
| A-21223-30300 | Software Developer - Modeling, Testing and Integration | Certified-Expired | Troy, MI | Feb 9, 2022 |
Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.