Coval

coval.dev
On the map Visit site

Automate testing and monitoring for your AI voice and chat agents.

Description

Scale voice AI agents with confidence. · Coval helps teams prove voice agents are ready with voice AI testing, production evals, and human QA across the full agent lifecycle. · The riskiest call is the one you did not test. · Full visibility into quality, consistency, and compliance. · Agent insights from the first prompt to the millionth call. · The results speak for themselves.

Coval is a simulation and evaluation platform for AI agents, inspired by techniques from the autonomous vehicle industry. It automates testing processes for AI assistants across various modalities, including chat and voice. Coval's platform helps engineers boost test coverage, speed up development, and validate consistent performance of AI agents, addressing the challenges of manual testing and improving reliability.

Features

AUTOMATED SIMULATION, AI AGENT EVALUATION, STATISTICAL VALIDATION, RELIABILITY TESTING, PERFORMANCE MONITORING, DEVELOPMENT ACCELERATION, EDGE CASE DETECTION, CONTINUOUS INTEGRATION, MULTI-MODAL TESTING

Use cases

CHATBOT QUALITY ASSURANCE, VOICE ASSISTANT OPTIMIZATION, AI AGENT PERFORMANCE VALIDATION, AUTOMATED TESTING WORKFLOWS, DEVELOPMENT CYCLE ACCELERATION

FAQ

Coval is an advanced platform designed to automate the simulation, evaluation, and continuous monitoring of conversational AI agents, including voice assistants and chatbots. It enables teams to rigorously test, optimize, and reliably deploy AI agents faster with high confidence.

Coval's core features include AI-powered simulation of thousands of real-world and edge case scenarios from a few test inputs, voice and chat compatibility with phone call simulations and customizable voices and environments, automated evaluation metrics like latency, accuracy, tool-call effectiveness, and instruction compliance, regression tracking to observe performance changes over time and alert on degradations, production monitoring with real-time alerts on issues such as latency spikes, failed intents, or policy violations, human-in-the-loop labeling for nuanced analysis, and seamless integration with CI/CD pipelines to catch regressions pre-deployment.

Coval applies a "self-driving" principle, inspired by autonomous vehicle testing, combining rigorous regression testing, sensor data analysis for validation, and continuous production observability. This proactive approach moves teams from reactive issue fixes to real-time alerting on performance degradation aligned with business goals.

Coval integrates with CI/CD systems for automated regression testing and supports native integration with platforms like Langfuse for detailed voice agent debugging and message tracing.

Coval supports testing of voice AI agents, chatbots, and other conversational AI modalities through both text and voice channels, including real-time voice-to-voice agents.

Yes, Coval allows creation of custom metrics tailored to your needs alongside built-in metrics, and you can simulate scenario prompts, transcripts, workflows, or audio inputs with customization for voices and environments.

Coval simulates thousands of scenarios automatically, vastly improving test coverage compared with manual testing. It also enables continuous evaluation during development and post-deployment monitoring to ensure consistent agent performance at scale.

Coval provides dedicated support for product functionality, billing, account management, and product-specific questions, aiming to offer a positive customer experience even during complex support interactions.

Pricing starts at approximately $300 per month, with different plans available to fit user needs.

Specs

Type Agent
SectionInfrastructure & MLOps
Pricing free (от $0/mo)
Platform API only
Systems api, web
Hostingcloud
Who forStartup
Site languageen
Rating0.00 (0 reviews)
Views5 649
Launched2024-11-14

Can do

agents api workflow-automation chatbot transcription sentiment-analysis

Integrations

teams

Platforms

api web

Tags

test automation automated qa ai agent monitoring chatbot testing test case generation

Social

X email LinkedIn

Found in sources

aiagentsdirectory aiagentslist moge producthunt startupfame

Similar in «Infrastructure & MLOps»

AWS
Amazon’s cloud: Bedrock, SageMaker and the infrastructure under most AI services.
HPE GreenLake
Комплексная edge-to-cloud платформа, предоставляющая гибкую ИТ-инфраструктуру и управление как услуга для гибридных сред.
Langfuse
LLM engineering platform for observability and metrics
Needle
Boost productivity: Automate workflows and find answers with AI.
CrewAI
Automate complex tasks with AI agents working together.
Vessium
Automate complex business tasks by describing them in plain words.

Submit a site to the catalog

Just send the link — we will work out the rest.

We will review what you send and add it to the catalog if it fits.