13 Signals+2

Voice AI Quality Workbench

A no-code platform for operations teams to monitor, debug, and improve real-time AI voice agents across calls and CRM workflows.

Added Jun 13, 2026

Last signal 10h ago

Job Ads

AI Operations

Conversation Intelligence

Customer Support

Opportunity Score

Opportunity: Low (39%)

Evidence Strength

Vol: 5%

Urg: 50%

Spec: 20%

Market Analysis

medium

$ high

Medium-to-large opportunity across contact centers, sales teams, and customer support organizations adopting AI voice agents and conversation intelligence platforms.

The Problem

Companies deploying AI voice agents struggle to connect model quality issues with customer and business outcomes. Non-technical teams need visibility into ASR errors, turn detection problems, entity extraction failures, summaries, and CRM workflow impact without relying on engineers for every investigation.

Potential Solution

The product ingests voice-agent conversations, transcripts, model outputs, and CRM events, then surfaces task-specific quality metrics, structured insights, and prioritized failure patterns. It gives product, enablement, and solutions teams dashboards and workflow tools for error analysis, dataset curation, objection patterns, and customer-facing performance reporting.

Why Now?

Real-time voice AI is moving from demos into production customer workflows, creating pressure to operationalize quality, analytics, and enablement around AI agents. Hiring signals point to companies building both the ML systems and the non-technical tooling needed to manage them.

Market validation

Opportunity score

82% score confidence

Search demand

Trend snapshot pending

Competition (1)

Voice API

adjacent

Showing 1-11 of 11 signals

Forward Deployed Engineer

prosper-aiJun 30, 2026

Debug live, high-volume systems — diagnose and resolve issues for agents making thousands of daily phone calls, where reliability and call quality directly affect patient and provider experience. Turn client feedback into product — close the loop with AI PMs and engineering, surfacing patterns across clients and feeding them back into the core platform.

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Senior Full Stack Engineer - Conversation Intelligence

CrestaJun 13, 2026

Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces.

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Senior Machine Learning Engineer - Automatic Speech Recognition (ASR)

CrestaJun 13, 2026

Lead ASR quality improvement efforts , including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.

Senior Machine Learning Engineer - Voice Experience

CrestaJun 13, 2026

Design, train, evaluate, and deploy machine learning systems that power real-time voice experiences, including ASR, speech understanding, turn detection, text to speech, speech to speech, classification, entity extraction, summarization, and structured insight generation.

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Strategic Solutions Engineer, East

CrestaJun 13, 2026

Experience with real-time systems, CRM tools (e.g., Salesforce), analytics platforms, and SaaS solution architecture.

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