Key outcomes:
Privately, a leading digital identity firm, has achieved the following results with Lakera for their computer vision system:
- 80% reduction in real-world failures.
- 10x faster development cycles.
- 77 days from Lakera’s integration to certification.
To understand the role that MLTest played in getting there, download the full case study:
How Privately benefits from Lakera’s MLTest.
Within only a few weeks of using MLTest, Privately was able to increase all of its project-related SDO (software delivery and operational) performance measures, including an 80% reduction in real-world failures and 10x faster development cycles (from roughly 2 weeks to 2 days).
Privately uses MLTest to:
- Identify problematic inputs and edge cases.
- Increase robustness to the large number of visual changes experienced in the real world.
- Guide efficient and targeted data collection strategies to improve performance and eliminate potential biases.
- Improve reliability and performance by adding training and test-time augmentation strategies.
About Privately.
Privately, a leading digital identity firm, provides computer vision products to make the world a safer place for minors. Their computer vision product, “FaceAssure”, is designed to estimate the ages of minors with industry-leading accuracy and is now one of the few recipients of a Challenge-25/EAL-2 certification for their age estimation technology.
Lakera’s MLTest played a crucial role in accelerating the development and certification of “FaceAssure”. You can read more about the journey in the case study below, as well as in Privately’s blog post.
Get started with Lakera today.
Get in touch with david@lakera.ai to find out more about what Lakera can do for your team, or get started right away.
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