Validate your Identity Verification solution with our statistically significant golden dataset. Get detailed insights into strengths, gaps, and optimization opportunities.
When someone says an identity verification algorithm is "98.5% accurate," what does that actually mean?
At Arbitra, we go beyond the marketing claims. We independently test each algorithm to understand how it really performs—not just in controlled demos, but in real-world conditions.
That means stress-testing each solution with real people, real images, and real diversity in environments and devices.
Every IDV system has one core job: decide whether an identity is real or fake. But at Arbitra, we evaluate providers on more than just accuracy metrics.
True Positive Rate (TPR) — How well they recognize real identities
True Negative Rate (TNR) — How well they block fake ones
How quickly the system processes verification requests and returns results to users
The percentage of users who successfully complete the verification process
Overall usability, interface design, and user satisfaction throughout the verification flow
Most providers give you test results from clean environments. We do it differently. Our testing applies strict statistical standards that hold up under scrutiny.
The number of real people we test depends on how strong the algorithm is. The better the algorithm, the fewer samples we need. Weaker ones require more to prove their accuracy. This approach ensures your comparisons are valid, rigorous, and repeatable.
If we say an algorithm is 98.5% accurate, we mean it's between 97.5% and 99.5%.
That estimate isn't a guess. It's backed by a statistically valid sample size.
A systematic approach to evaluating your IDV solution's performance and security
We analyze your current IDV setup and define testing objectives
Custom testing strategy based on your specific use cases and risk profile
Comprehensive testing using our golden dataset of real and synthetic profiles
Detailed analysis with actionable recommendations and implementation guidance
We don't just collect one image per person and call it a day.
In real life, users show up under poor lighting. On low-end phones. With different angles or slow connections.
So we replicate that. Every participant in our evaluation provides multiple images under different conditions.
Depending on algorithm performance
Across varied real-world scenarios
To capture the full picture of performance
You may hear vendors claim to test on millions of synthetic images. It sounds impressive—but it rarely tells the full story.
Synthetic images tend to be clean, consistent, and predictable. That makes them useful for training—but unreliable for testing.
At Arbitra, we use synthetic data only as a low-cost supplement—not a substitute. Real users are the foundation of every evaluation we run.
Even the creators of these datasets acknowledge they weren't designed to simulate real-world diversity, behavior, or conditions.
When you're choosing an identity verification provider, you're making a high-stakes decision. You're trusting them to:
Our testing doesn't just ask "does it work?" It asks how well it works—under pressure, with real people, on real devices.
Because in the real world, accuracy isn't just a number—it's a promise.
Select the testing package that matches your needs and budget
Essential IDV testing for small to medium implementations
Ideal for: Startups and SMBs with basic IDV needs
In-depth analysis for enterprise-grade IDV solutions
Ideal for: Mid-market to enterprise companies
Complete IDV solution validation for large-scale deployments
Ideal for: Large enterprises and regulated industries
Get detailed insights into your IDV performance with our comprehensive testing suite. Contact us to discuss your specific testing needs.
Want the full technical methodology? Read how we test IDV systems here
