Coval vs Hamming

Both test voice agents before launch. One publishes its prices and documentation, the other publishes an agreement figure. What that trade means.

These two are the closest pair in voice agent testing. Both lead with simulation before release, both add production monitoring after it, and both are serious about audio.

We do neither job. We read production and nothing else, so this page is written as a reader.

What you can check before you talk to them

That table is the honest summary of the difference in how the two companies sell. One lets you evaluate it on a Sunday. The other requires a call before you can read how a feature works.

Neither approach is wrong. Gated documentation is common for a young company with a hands-on sales motion, and it says nothing about product quality. It does decide how fast you can form a view.

Where each one is strongest

Coval publishes the deepest audio tooling in the category. It places real calls over the phone network or SIP, and it runs a judge that listens to the recording rather than reading the transcript.

Its acoustic metrics go down to pitch variability, vocal fry, clipping and dropout. It also ships agreement tooling that scores each metric against human labels, and publishes no figures from it.

Hamming leads on breadth of simulation: generated scenarios, simulated accents, background noise and interruptions, at high concurrency, across many languages.

It is also the only company in this entire category that publishes an agreement figure for its own judging, at 95 to 96 percent against human evaluators.

How to choose

• You need to evaluate it yourself, this week, without a sales call: Coval.
• Your agent's failures are acoustic rather than conversational: Coval, for the audio-native judging.
• You need many languages and accents at high concurrency: Hamming.
• You are buying on a published reliability number: Hamming, and ask for the method in the first call.
• Budget is the constraint and you want a published entry price: Coval.

What neither answers

A simulated call tells you how the agent handles a case somebody thought of. It cannot tell you about the cases nobody thought of, which is most of what production contains.

That is the gap we fill, and it sits beside these products rather than replacing either. Running simulation before release and scoring everything after it are different jobs on different days.

Everything above was read on each company's own site and documentation on 5 October 2026. Pricing and features move. Check the source before you make a decision on it, and tell us if we have something wrong.