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At Sightcorp, we’re committed to developing technology which is not only accurate but also safe.

To put this commitment into practice, we’ve created this page to share information on how our software works, what type of data it collects, and how this ties in with privacy-focused legal frameworks such as the GDPR.

How Sightcorp supports GDPR?

Sightcorp supports you by providing detailed explanation and documentation on how our technology works.
That way you can take the proper measures to be fully compliant with GDRP.



What is the purpose of GDPR?

The purpose of the General Data Protection Regulation (GDPR) is to protect the right to privacy and to extend data rights to all EU residents. This means that anyone who – in relation to offering goods or services, or in relation to monitoring behavior that takes place in the EU – collects, stores, or processes the data of an EU resident is impacted by GDPR, even if the data storage or processing takes place outside of the EU.


Who is involved in personal data processing?

The GDPR sets out rules for who may collect personal data, what type of personal data may be collected, what it may be used for, and how it may be stored, among other things. Below you can see the different roles involved in the processing of personal data.


How does the process work with Sigthcorp?


Data Protection Officer

As a sign of our commitment to privacy, we have secured the services of a Data Protection Officer (DPO) to provide us with independent, expert advice on complying with our data protection obligations and implementing our data protection policies.

If you have any privacy related questions, contact our DPO at


Legal disclaimer: The information on this page does not constitute legal advice. For advice on how to comply with the relevant legal frameworks, it is advisable to contact a lawyer who specializes in privacy law. Sightcorp is not liable for using the information above as legal advice.

Technical Specifications

The table below shows how FaceMatch SDK performs on the Labelled Faces in the Wild (LFW) dataset:

FPRTPRThreshold (Inverse of distance)
0.10.99900 ±0.002130.55448
0.010.99667 ±0.005370.59791
0.0010.99367 ±0.006050.62989

FPR = False Positive Rate
TPR = True Positive Rate

These results are an indication only and are based on the specific dataset Labelled Faces in the Wild. Customers can expect similar performance, with possible variations due to hardware and the availability of annotated data.