AU10TIX Identity Verification Solution

What do you like best about the product?

Most tools we tried seemed to label everything as “liveness.” AU10TIX, though, actually distinguishes between someone holding up a photo or mask to the camera and someone injecting a synthetic feed into the pipeline, and it reports which one it detected. That separation matters, because the fixes are different, and it helps us understand what’s actually hitting us.

What do you dislike about the product?

Tuning the thresholds to match our risk appetite took a couple of weeks. It’s not something you can just turn on and forget.

What problems is the product solving and how is that benefiting you?

Biometric verification and spoof detection for a marketplace, designed to tell real users apart from presentation and injection attacks during the selfie step.

What do you like best about the product?

The speed of verification is excellent and that reduces churn rate during sign up.

What do you dislike about the product?

The support team can improve their response time

What problems is the product solving and how is that benefiting you?

We needed to verify users for a fintech. The platform is easy to use and integrates with most of our complementary tools.

What do you like best about the product?

What sold us was how accurate the face matching is across different ages, skin tones, and mid-range phone cameras, not just in ideal demo conditions. The match between the selfie and the document photo stays consistent, whereas our previous tool tended to skew and reject genuine users in certain groups.

What do you dislike about the product?

The integration is truly enterprise-grade, so it required real engineering time on our side. This isn’t something you can just drop in over a weekend.

What problems is the product solving and how is that benefiting you?

Biometric identity verification that reliably matches a live selfie to the face on the document, supporting a broad, international customer base.

What do you like best about the product?

We were nervous that adding a stronger biometric step would cost us signups. Instead, this approach is passive: the user just takes a selfie, with no “turn your head and blink” routine. Because of that, completion stayed solid while the spoof catch rate went up. That balance is the part most vendors get wrong for us.

What do you dislike about the product?

The docs on tuning the liveness threshold are very thin. I ended up asking our contact instead of being able to find the details written down.

What problems is the product solving and how is that benefiting you?

Biometric verification during account opening helps confirm that a real, live person is signing up, without adding friction that could drop genuine users.

What do you like best about the product?

What sold us was how accurate the face matching is across different ages, skin tones, and mid-range phone cameras, not just in ideal demo conditions. The match between the selfie and the document photo stays consistent, whereas our previous tool tended to skew and reject genuine users in certain groups.

What do you dislike about the product?

The integration is enterprise-grade, so it required real engineering time. It’s not something you can just drop in over a weekend.

What problems is the product solving and how is that benefiting you?

Biometric identity verification that reliably matches a live selfie to the face on an identity document for a broad, international customer base.

What do you like best about the product?

We trigger the biometric step again at high-risk moments, not just during onboarding, so that a withdrawal or a change to account details re-confirms it’s the same real person. Being able to run the same face check right at the point of action has closed a gap that account takeovers were exploiting.

What do you dislike about the product?

Calling the biometric step in the middle of a session required some engineering work on our side, and the guidance for implementing that flow could be clearer.

What problems is the product solving and how is that benefiting you?

Biometric re-verification during sensitive actions helps confirm that a real, live person is present, not just someone with a valid login.

What do you like best about the product?

We initially evaluated a few of the newer, lower-cost platforms. What ultimately changed our mind was a particular batch of ID submissions that looked clean to the naked eye and also came back clean in the other tool we were running side by side during the trial. AU10TIX, however, flagged a meaningful percentage of those as AI-generated, deepfake documents designed to pass a standard visual check, while the other platform waved every one of them through.

They were also fully transparent about how the flagging worked, walking us through the actual signals rather than just handing us a score. That didn’t feel like a demo feature; it felt like the kind of fraud that’s actually showing up right now. The client list gave us additional confidence as well—if larger institutions are running this at volume, that’s a signal that carries some weight.

What do you dislike about the product?

It’s an enterprise platform, and it definitely feels like one. Onboarding our team took a meaningful amount of time, and there’s more configuration involved than you’d expect with a lighter-weight tool.

What problems is the product solving and how is that benefiting you?

Catching AI-generated and deepfake documents during onboarding is critical for a regulated bank, where a miss is costly and a false positive frustrates a legitimate customer. We were looking to buy the capability to detect what the other tool in our trial couldn’t—not just another checkbox feature.

What do you like best about the product?

Two things have genuinely moved the needle for us. First, the network signal can catch someone who comes back under a new identity—something a single-platform tool can’t see because it only has visibility into its own traffic. Second, the document coverage is broad enough that our legitimate overseas sellers have stopped being wrongly rejected, which used to be a real problem on our side.

What do you dislike about the product?

It’s built more like an enterprise platform than a simple plug-in widget. Plan to set aside real time for the integration, because for me it definitely wasn’t a weekend project.

What problems is the product solving and how is that benefiting you?

Marketplace fraud was a real issue: the same people kept coming back under new identities, yet the weaker checks still ended up rejecting legitimate overseas sellers. It felt like I was stuck choosing between those two problems, but in the end we managed to fix both outright.

What do you like best about the product?

Results come back in a few seconds, which matters at our volume. Every country we operate in is actually supported, so we’re not turning away customers in certain markets. The account team also keeps proposing small tweaks that nudge our pass rate up.

What do you dislike about the product?

The proof of address checks could be a bit sharper. We still get the occasional case that needs a manual look.

What problems is the product solving and how is that benefiting you?

The proof-of-address checks could be a bit sharper; we still occasionally get one that needs a manual review.

What do you like best about the product?

Having fraud detection and AML screening (PEP, sanctions, adverse media) in a single flow, rather than across two disconnected tools, is the real win for us. It has noticeably reduced what ends up in our manual review queue, and the results come back quickly enough that onboarding still moves along without getting slowed down.

What do you dislike about the product?

AML matching still flags items I’d prefer it cleared automatically. It’s definitely improved compared with the version we started with, but it’s still the area I’d push them hardest to strengthen.

What problems is the product solving and how is that benefiting you?

We run fraud prevention and AML together, so onboarding gets properly checked without doubling our manual work, and we still maintain an audit trail that our regulators are comfortable with.