
CitizenCY
Docketwise
EB1A Visa AI
Imagility.co
Immigram
ImmigroNews
Immiva
Immigration Operating System. Find the visa and residence pathways you qualify for worldwide, then file with a licensed immigration attorney.

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Infer SQL queries from plain-text questions and table headers.
Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | imigos.com | github.com |
| Pricing | — | |
| Company | Startup from the United States | — |
| Listed in |
In their own words, as submitted to SaaSHub.


imigOS is an immigration operating system. It starts with a free eligibility assessment that measures your background against visa and residence pathways worldwide and shows which ones you qualify for and why. You get every route that fits, not a single recommendation, each with the criteria it...
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How often each product is chosen within a category, 0–100% relative to the other.


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Recommendations tracked on public social media and blogs since March 2021.


Tracking imigOS since Sep 2026.
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
When comparing imigOS and mlsql, you can also consider the following products.



Docketwise is the #1 rated all-in-one immigration software for legal professionals, designed to streamline case management, immigration forms, and more.
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Forensic, objective mapping of your professional record against EB-1A criteria in under 60 seconds.
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A cloud-based immigration platform leading the way in innovation, and offering Petitioners, Attorneys and Beneficiaries a never-seen before combination of automation, transparency and collaboration.
Compare Imagility.co to imigOS or mlsql:
