✓ Published & Verified

The Most Accurate
AI QA on the Market

OttoQA is the only Auto QA vendor that publishes its accuracy rate. Why? Because it's 96%. We won't even start a POC until we hit that number.

Our Accuracy Rate

96%
Accuracy (±3%)
Published on our website
Verified before every POC
Premium LLMs only

We Looked at 5 "Leading" Auto QA Tools

Only 1 publicly shares accuracy metrics. Guess which one.

Big Tech QA Vendors
No accuracy numbers on website
"Ask on a demo" when questioned
Vague claims like "highly accurate"
See if you believe their sales rep
OttoQA
96% accuracy published openly
Verified on YOUR calls before POC
Won't proceed until we hit 96%
Premium LLMs—no cheap shortcuts

Ask Your Current Vendor for Their Accuracy Rate

Next time you're on a demo with a "leading" Auto QA platform, ask one simple question: "What's your accuracy rate?" Watch what happens.

1

Check Their Website

Search for accuracy metrics. You won't find them.

2

Ask on the Demo

Watch for deflection: "It depends on your use case..."

3

Decide Who to Trust

The vendor who publishes 96% or the one who hides?

See Our 96% for Yourself

We Verify 96% Before
We Even Start a POC

Most vendors rush you into a proof of concept and hope the numbers work out. We do it backwards—we prove our accuracy on YOUR calls before we ask you to commit anything.

1

Send Us Your QA Form + Calls

Real calls from your contact center, your actual evaluation criteria.

2

We Score Them

We run your calls through OttoQA and calibrate to your standards.

3

You Verify Accuracy

Compare our scores to your human QA. You see the math yourself.

4

Then We Talk POC

Only after you've confirmed 96% do we move forward.

96% or We Don't Proceed

We won't move to a POC until we've proven our accuracy on your actual calls with your actual QA form. No exceptions. No "trust us, it'll work."

Why Don't They Publish Accuracy Numbers?

If their AI was as good as they claim, wouldn't they want you to know?

Cheap Models for Volume

To score 100% of calls affordably, they use cheaper LLMs. Cheap models mean lower accuracy—nothing worth publishing.

Inconsistent Results

Their accuracy varies wildly by use case. A published number would invite questions they don't want to answer.

Hoping You Won't Ask

Most buyers assume "AI" means accurate. By the time you realize it's not, you're locked into a contract.

96%

"Why don't more Auto QA platforms openly post accuracy numbers? We do. Because we're proud of ours."

Schedule a Demo

Ready to See Real Accuracy?

OttoQA is the only Auto QA vendor that will prove 96% accuracy on your actual calls before you commit to anything.