Coval
Simulation, production evaluation, and human QA for voice agents
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What this product helps you do
Coval is a deployment-readiness and quality platform focused on voice agents, with support for chat evaluation as well. Teams can simulate accents, interruptions, background noise, policies, and other scenarios before launch; score production conversations; review failures; and feed human judgments back into evaluation criteria. Paid Starter and Growth plans include trials and published capacity, while Enterprise adds custom scale and controls.
Problems it solves
- Manual QA misses long-tail voice-agent scenarios and regressions
- Agent quality can drift as prompts, models, workflows, and vendors change
- Teams need shared metrics across testing and production calls
- Human reviewers need a structured path to correct automated evaluations
Coval provides a continuous quality loop for voice and chat agents: simulate before release, observe production conversations, and review failures with human feedback. Its developer surfaces include REST APIs, Python and TypeScript SDKs, a CLI, MCP connectivity, and CI-oriented workflows.
Starter and Growth plans publish monthly prices and usage limits with a seven-day trial. Enterprise uses custom capacity and pricing for high-volume, regulated, or multi-team deployments.
Information
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Coval
Simulation, production evaluation, and human QA for voice agents
Coval provides a continuous quality loop for voice and chat agents: simulate before release, observe production conversations, and review failures with human feedback. Its developer surfaces include REST APIs, Python and TypeScript SDKs, a CLI, MCP connectivity, and CI-oriented workflows.
Starter and Growth plans publish monthly prices and usage limits with a seven-day trial. Enterprise uses custom capacity and pricing for high-volume, regulated, or multi-team deployments.
What this product helps you do
Coval is a deployment-readiness and quality platform focused on voice agents, with support for chat evaluation as well. Teams can simulate accents, interruptions, background noise, policies, and other scenarios before launch; score production conversations; review failures; and feed human judgments back into evaluation criteria. Paid Starter and Growth plans include trials and published capacity, while Enterprise adds custom scale and controls.
Problems it solves
- Manual QA misses long-tail voice-agent scenarios and regressions
- Agent quality can drift as prompts, models, workflows, and vendors change
- Teams need shared metrics across testing and production calls
- Human reviewers need a structured path to correct automated evaluations
Information
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
Related AI products
Weaviate
Weaviate stores data objects and vector embeddings for semantic and hybrid search, retrieval-augmented generation, and agent workflows, with open-source self-hosting and managed cloud plans.
Microsoft Power Platform
Microsoft Power Platform combines Power BI, Power Apps, Power Automate, Power Pages, and Copilot Studio for low-code analytics, application development, process automation, websites, and agents.
Milvus
Milvus is an Apache-2.0 vector database for storing vectors and related scalar data, running approximate nearest-neighbor search, and scaling from an embedded local library to standalone or distributed deployments.