The Ultimate Voice AI Evaluation Framework: Lead or Bleed
In 6 months, companies depending on manual testing will be extinct. This webinar precisely tells you why and how to escape from that extinction!
Overview:
Discover why 90% voice AI deployments fail in production and how the industry's first AI-powered Voice Agent Simulator is making manual testing obsolete and shipping production-ready Voice AI 10x faster with intelligent test agents that never sleep, never miss edge cases, and cost way less.
Description:
The Voice AI Evaluation Crisis Nobody's Talking About:
Every day, companies pour millions into Voice AI development, only to watch their systems crash in production. Why? Because human testing is fundamentally broken. Human testers catch only 15-20% of edge cases before production, while average testing cycles drag on for 6-12 weeks per release. With each human tester costing on an average $65,000 per year, the result is devastating: most of Voice AI systems fail within the first month of deployment.
💡 This session gets you answers to the million dollar Voice AI Testing problems no one talks about-
Why traditional human testing is bleeding your budget dry and still missing critical failures
How to generate and evaluate unlimited scenarios in minutes, not months
Cut your testing/evaluation cycles from weeks to hours with automated agent-to-agent conversations
Catch the "black swan" scenarios humans never think to test
LIVE DEMO: Watch our simulator break a production Voice AI in real-time (and fix it in minutes)
Webinar Exclusive: First 50 Attendees Get:
FREE 2-weeks access to our Agent Simulator
Custom test scenario library for your industry (normally $2,000)
1-on-1 implementation session with our engineering team
PS: This isn't about replacing humans, it's about achieving the speed, accuracy, and safety that human testing simply can't deliver (unless you have Amazon's budget). Pick two, lose one. AI testing lets you have all three while still keeping humans in the loop for oversight and governance.
So, don't wait, only 100 seats..register today!
About the Speakers
Nikhil Pareek, Founder & CEO of Future AGI, is a serial entrepreneur with over nine years of experience building startups and leading AI-driven innovation across industries like healthcare, IoT, consulting, and finance. He’s passionate about bringing engineering rigor to AI systems and solving core infrastructure challenges in model development and deployment. At Future AGI, he’s focused on helping teams build trustworthy, production-ready AI through automation, evaluation, and observability.
Rishav Hada, an Applied Scientist at Future AGI, specializes in AI evaluation and observability. Previously at Microsoft Research, he developed frameworks for generative AI evaluation and multilingual language technologies. His research, funded by Twitter and Meta, has been published in top conferences like EMNLP, ACL, and NAACL and integrated into AI products. His recent work on mitigating bias in language technologies won the Best Paper Award at FAccT’24.
About Future AGI
Future AGI is a San Francisco-based advanced AI Lifecycle Management platform designed to streamline experimentation, evaluation, optimization and real-time observability. Traditional AI tools often rely on guesswork due to gaps in data generation, error analysis, and feedback loops. Future AGI eliminates this uncertainty by automating the data layer with multi-modal evaluations, agent optimisations, observability, and synthetic data tools, cutting AI development time by up to 95%. By removing manual overhead, it brings software engineering rigour to AI, enabling teams to build high-performing, trustworthy systems faster.
🌐 To know more about Future AGI, visit here!
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