You already found the job. Now you need to know whether the company is worth your time.
That is where most H-1B job searches get messy. A job board shows the role. A database shows old filings. A forum gives anecdotes. The application form still asks whether you need sponsorship, and the posting may not say anything useful.
The best company research tool for H-1B job search should connect those pieces before you rewrite the resume or answer a sponsorship question.
FrogHire.ai company profiles help you check employer signals such as H-1B records, PERM records, E-Verify, Non-STEM history, ICC flags, salary context, location, job fields, job titles, worker background, contacts, and related tools when data is available.
The advantage is not just more data. FrogHire.ai makes company research usable at the moment you need to decide whether this specific job deserves your next hour.
A company page is strongest when it feeds the rest of the search. FrogHire.ai connects company data with the extension and dashboard, so employer research can shape which roles you save, which resume version you use, and which applications you follow up on.
Company research is not a yes-or-no lookup
The question “does this company sponsor H-1B?” is usually too broad.
The better question is: does this employer sponsor roles like mine, in locations like this, with enough recent context to justify applying?
A good company page should help you answer:
- Has the employer filed H-1B records?
- Does it also have PERM history?
- Is E-Verify relevant for my situation?
- Which job titles appear in past records?
- What salary and location patterns show up?
- Does the current posting conflict with the company history?
The Department of Labor LCA process connects H-1B-related filings with employer, occupation, wage, and worksite context. That is why company research should include more than employer name.
What FrogHire.ai company data shows
FrogHire.ai company data includes more than 150,000 companies with H-1B records and millions of H-1B case references. That scale is useful only if you read it carefully.
Examples from the company database:
| Company | H-1B records | PERM records | E-Verify records | Non-STEM records |
|---|---|---|---|---|
| Amazon | 94,095 | 21,993 | 50 | 14,783 |
| 58,472 | 13,706 | 7 | 5,866 | |
| Microsoft | 51,694 | 13,949 | 12 | 4,798 |
| Deloitte | 40,887 | 3,086 | 7 | 11,005 |
| Apple | 26,255 | 5,731 | 2 | 2,253 |
| Meta | 21,546 | 1,085 | 18 | 1,363 |
| JP Morgan Chase | 18,722 | 2,404 | 58 | 3,767 |
Those numbers do not mean every role sponsors. They mean the employer is worth a deeper look if the role matches your background. Treat the table as a shortlist builder, not a guarantee list.
How to research a company before applying
Use the company page as a decision page, not just a data page.
Check the headline signals
Start with H-1B, PERM, and E-Verify. Keep them separate. H-1B history shows past sponsorship activity. PERM history can help with longer-term immigration context. E-Verify may matter for some STEM OPT decisions, but it is not H-1B sponsorship.
Read the job-title pattern
If you are applying for Data Analyst roles, look for data, analytics, BI, business analyst, product analyst, and adjacent titles. If you are applying for Product Manager roles, do not assume software engineering sponsorship history is enough.
This is where company research becomes practical. A company with a huge H-1B count but no similar titles in your function may be a weaker target than a smaller employer with repeated filings in your exact role family.
Compare location and salary
Location can change the sponsorship pattern. Salary can change how plausible the role looks against wage context. If wage level is part of your concern, use the FrogHire.ai Prevailing Wage Map with the company profile.
Check the posting language
Company history does not override a posting that says no sponsorship. If the posting is silent, company data helps you decide whether the role is worth clarifying. If the posting says “no current or future sponsorship,” skip it unless you have a separate reason to believe the language is wrong.
Why FrogHire.ai is more useful than a static company list
A static company list gives you names. FrogHire.ai helps you turn company research into a workflow.
You can open a company profile, check sponsor signals, return to the job posting, tailor your resume if the role is strong, use autofill with review, and save the role in Job Manager. The company signal stays attached to the application rather than disappearing into a spreadsheet note.
That is the difference between research and execution.
FAQ
What is the best company research tool for H-1B job search?
The best company research tool for H-1B job search shows employer sponsorship history, role patterns, salary, location, and related application context. FrogHire.ai company profiles are built for that workflow.
Should I check PERM data before applying?
Check PERM data if long-term immigration planning matters to you. It does not guarantee green-card support, but it can show whether the employer has handled that process before.
Is E-Verify the same as H-1B sponsorship?
No. E-Verify is a separate employment eligibility verification system. It can matter for some OPT and STEM OPT planning, but it does not prove H-1B sponsorship.
Which company pages should I check first?
Start with companies you are actively considering. For high-volume examples, you can review Amazon, Google, Microsoft, and Deloitte.
Can company research guarantee sponsorship?
No. Company research reduces guesswork. The employer still decides whether a specific role and candidate will be sponsored.
The next step
Open FrogHire.ai company profiles and search one employer you plan to apply to this week. Check the company, role, location, salary, and posting language before you tailor your resume.