The 1st AI-powered testing infra for voice AI: evaluate across thousands of real-world scenarios in minutes using simulated agents that stress-test edge cases, detect multilingual issues, and uncover failures missed by humans. Ship reliable voice AI at scale!
Hey PH community! Nikhil here, Founder & CEO at Future AGI. Today we're launching SIMULATE, and I'm genuinely excited to share what we've built.
Why we started this?
Working with AI teams over the past few years, I kept seeing the same problem everywhere: voice AI testing was completely manual. Teams would build these amazing voice agents, then spend weeks manually calling them over and over, trying to find where they break.
It hit me when I watched a team spend a month testing their voice agent, only to have real users find critical bugs within the first day of launch. We knew there had to be a smarter way.
How it actually works?
SIMULATE creates AI agents that automatically call your voice AI system and have real conversations with it. But here's the key difference - instead of just checking transcripts like other tools, we built our evaluation models to analyze the actual audio.
Why does this matter? Because voice AI doesn't just fail in the words it says. It fails in tone, audio quality, response timing - stuff you completely miss if you're only looking at text transcripts.
The technical bits
We can spin up thousands of these test conversations simultaneously. Each one has different characteristics - different accents, background noise, conversation styles. It's like having a massive team of testers, but they never get tired and they explore scenarios no human would think of.
Setup is dead simple. Just give us your voice agent's phone number and we start testing immediately. No complex integrations needed - works with multiple integrations like Vapi, Retell or whatever platform you're using.
Where we're headed?
We're already working on multiple modalities and much more. The bigger vision? Making voice AI as reliable as any other software you ship.
Thanks for taking a look. Please give us an upvote and share your feedback. Really curious to know what you think!
Congrats on the launch. I ran into this exact issue a few months ago, misses a major bug testing was just so tedious. Wishing I had this back then.
Super useful for testing voice AI quickly. Finds issues in tone, timing, and accents we would miss.
Loved the idea of using audio based evaluation instead of just transcript review. That difference alone makes this worth exploring for our team.
I work on multilingual voice projects and testing tone and pronunciation has always been painful. If this actually helps catch those subtleties, I’m in.
Congrats on launching Simulate! From bestofweb .site I’m excited to see a voice‑AI auto‑testing loop that helps developers simulate and ship faster.
Wow! Very cool tech for voice AI agents. I'm impressed how such a technically challenging platform can display with a seemingly easy-to-use interface. Excellent demo & explanation. 100% will use this if I'm ever building a voice AI agent!
Congrats on the launch!
We support all these platforms!
Voice AI finally has a QA tool. Loved the real audio analysis feature. Makes our agents way more reliable.
Hi Product Hunt community! I'm Charu, co-founder at Future AGI, and today we're launching SIMULATE.
What we kept seeing
Over the past year, I've talked to hundreds of teams building voice AI products. The same story keeps coming up: they spend months building their voice agent, then testing becomes this huge time sink.
Teams end up hiring contractors, running endless internal testing sessions, basically throwing people at the problem and hoping they catch the major issues before customers do. I watched one company delay their product launch by weeks because they kept finding new ways their agent could break. Another team told me they spent months on testing and still shipped with bugs.
It became clear this wasn't just a technical problem - it was stopping teams from moving fast with confidence.
What SIMULATE does
SIMULATE automates what used to take your team weeks. Instead of coordinating hundreds of manual test calls, our AI agents run thousands of conversations automatically. Teams can get comprehensive testing results in hours instead of weeks.
You just give us your voice agent's phone number and we start testing immediately. Our AI creates different conversation scenarios, tests various edge cases, and gives you detailed feedback on where things break. No complex setup needed.
Why this matters
Teams using SIMULATE are shipping faster and with more confidence. Instead of wondering if customers will find the conversation that breaks everything, you know your voice AI actually works before launch.
It's about getting back to building great products instead of getting stuck in endless testing cycles.
🚀 Excited to launch the first AI-powered testing infrastructure for voice AI on Product Hunt! We built this to help teams move beyond manual testing and finally trust their voice AI in production.
Simulated agents stress-test your system across thousands of real-world edge cases—including multilingual scenarios—so you can ship faster with confidence. Would love your thoughts, feedback, or questions 🙌
This is huge! Voice AI desperately needs testing infrastructure like this. Love the focus on edge cases and real-world reliability. Game changer!
No way, auto-testing for voice AI? That’s wild—manual testing always eats up my team’s time. Does it handle different accents or just standard voices? Super curious!
Future AGI's automated simulation and evaluation loop is exactly what the Voice AI world has been missing. No more manual testing, no more missed edge cases. This tool lets you run 1000s of real-world scenarios, create custom metrics, and ship voice agents confidently — in hours, not weeks.
We started using Future AGI three months ago while chasing that elusive “five-nines” accuracy claim. So far it’s delivered exactly what it promised: the eval suite caught a 4% drift in our image-classification model over a weekend, and the observability traces pointed us to a single batch-norm layer that was mis-scaled on the new GPU nodes. We hit 98.7 % within two days of tuning. The only hiccup has been that alert volume is high out of the box—filtering took a bit of work—so a curated “starter rule-set” would save new teams time.
Huge leap forward for voice AI teams! Testing used to be slow, manual, and full of gaps — this completely changes the game. Simulated, intelligent callers that explore edge cases and stress-test at scale? Exactly what the industry needed.
