VOICEPEGS · OPEN EXPERIMENTS BY VATTARA

We run the calls. You hear everything.

VoicePegs is our open experiments section. We build voice agents on real production stacks, run structured call sets against them by model and by industry, and publish every recording exactly as it happened.

HOW AN EXPERIMENT WORKS

Every set follows the same protocol, so calls are comparable inside a set and honest across sets.

01

Design the scenario

We write a corpus of personas and situations with known ground truth built in, so every call has a designed outcome before the phone rings.

02

Run the calls

Synthetic callers dial the agent under test on its real stack. Every call is recorded end to end, including the awkward parts.

03

Publish raw

Full audio plus descriptive facts: model stack, industry, scenario, persona, turns, duration. Nothing is trimmed, re-recorded, or cherry picked.

FIND CALLS BY INDUSTRY

Every set lives under its industry. Pick one and hear how agents handle the scenarios that industry actually throws at them.

Automotive dealershipsHospitalityHealthcare · upcomingBanking · upcomingTelecom · upcomingRetail · upcoming
calls live in the archive
THE RULE

Evidence, not verdicts.

Published with every call
Full audio, uneditedModel stack and configurationIndustry and scenario designCaller persona and objectiveTurn count and duration
Never published
Rankings and leaderboardsVendor verdictsImprovement roadmaps
You listen. You judge. That is the point.
FEATURED EXPERIMENT · LATEST SET

Can a voice agent buy a car from a stranger?

An outbound acquisition agent for a US dealership calls private sellers about their listed vehicles. Every seller has a hidden price floor and a distinct negotiation style. Some deals are winnable. Some are designed so the only correct move is to walk away. The agent does not know which is which.

Listen to the set ↗
Calls20 outbound
DirectionAgent calls seller
MarketUnited States
IndustryAutomotive · dealership acquisition
Ground truthDesigned outcome per call
Vattaralokesh@vattara.ai