Find and fix AI agent failures before your real customers do. Demanding AI personas who test every scenario, suggest prompt improvements, and fine-tune your models. Launch with confidence.
Chanl helps you catch failures before customers do through comprehensive AI customer testing, real-time monitoring, and detailed failure analysis.
Industry research reveals the challenges teams face with voice AI implementation. We're here to change these statistics.
Test, Optimize and Deploy Voice AI with the world's leading companies
Real problems ML teams face with voice AI - and how we solve them. Based on patterns we see across hundreds of implementations.
70% of voice AI agents plateau at 80% accuracy after months of prompt engineering
— MIT Technology Review, 2024Our testing identifies which scenarios fail and why. Teams see 10-15% accuracy improvements within weeks.
4-7 minute average handle times are killing customer satisfaction scores
— Forrester ResearchOur optimization engine analyzes bottlenecks and reduces latency
Compliance requirements add 3-6 months to voice AI deployments
— Gartner Healthcare ReportPre-tested compliance templates for HIPAA, PCI, and SOC2. Cuts compliance overhead by 50%.
8-10% hallucination rates are destroying customer trust
— Stanford HAI StudySystematic testing helps identify and reduce common hallucination patterns. Teams typically improve by 40-60%.
30% of production issues come from untested edge cases
— Google Cloud DevOps ReportComprehensive testing finds 40-60 edge cases before production. 30% would have been critical failures.
65% of teams have no audit trail for prompt changes
— O'Reilly AI Adoption SurveyVersion control for prompts with A/B testing and instant rollback. Know what changed and revert in seconds.
Connect your voice agent via phone or direct API integration. Our AI customers test it hundreds of times with different personalities, goals, and edge cases. We analyze every conversation and show you exactly how to fix failures.
Universal integration across platforms. Works with VAPI, Retell, Bland, ElevenLabs, or any voice platform. Connect via phone number, webhook, or direct API integration.
Comprehensive testing with diverse personas and edge cases. Our AI customers call with different personalities, accents, interruptions, and realistic conversation patterns.
Detailed failure analysis with conversation transcripts and context. When your agent breaks, hallucinates, or handles something poorly, we capture the exact failure point.
Specific, actionable improvements with prompt refinements. Receive detailed fix instructions and conversation examples for every identified issue.
Production monitoring with rollback capabilities. Git-style versioning for prompts, A/B testing frameworks, and real-time performance monitoring.
Ongoing optimization based on real conversation patterns. The system continuously learns from production calls and adapts to your specific use cases.
Voice AI works great in demos but breaks when real customers use it. Here are the three biggest problems that cause production failures.
Learn about voice AI testing best practices, industry trends, and how to ship reliable voice agents that your customers love.
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FeaturedDiscover the comprehensive testing framework used by top voice AI teams to achieve 95%+ accuracy rates and prevent costly production failures. Includes real case studies and actionable implementation guides.
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Real questions from companies deploying voice AI. Get answers to critical concerns before you deploy.
Test your voice agents with demanding AI personas. Catch failures before they reach your customers.
