
iDenfy
Onfido
Mati
Sumsub
Veriff
Focal
Bureau ID
Trust efficiently by connecting people's verification with existing fraud solutions. Verify your customers with 15+ methods used by companies worldwide. Verify IDs with a privacy first methodology in a fast and secure manner.

FriendlyData
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 | trustswiftly.com | github.com |
| Pricing | — | |
| Platforms | — | |
| Company | 2021 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Trust Swiftly provides flexible and accurate identity verifications with over 15 different verification methods. Trust Swiftly is easily customizable through our dashboard and configurable with your business to optimize your customer's experience with frictionless verifications. Trust Swiftly...
No description of mlsql yet.
What each product offers, as listed by its team.


No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of Trust Swiftly yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Overview
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Trust Swiftly and mlsql.
Trust Swiftly's answer
Each user is unique, and the complexity of the verification should be adjusted according to your business. One verification insight might lead to complete trust while another could raise the user’s level of risk. With 15+ verification types, you should have the confidence to verify with the optimal method. No more declines or lost growth due to your existing fraud prevention system. A verification journey might be short for a good user, while a fraudster will require a longer one with a higher chance of an identity mismatch.
Share your experience with using Trust Swiftly and mlsql. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Easily one of the most robust systems for verifications we came across. We had so many customizations available to us it made the entire platform secure for our customers. We saved tons over our previous KYC provider...
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Recommendations tracked on public social media and blogs since March 2021.


Tracking Trust Swiftly since Oct 2023.
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
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