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Evalgent is an AI voice agent testing and evaluation platform. Built for developers using Vapi, Retell, LiveKit, Pipecat, Deepgram and ElevenLabs. Catch failures before real users do, cut iteration cycles, and get your voice agent to revenue faster.

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Based on our record, Lovable seems to be more popular. It has been mentioned 75 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | evalgent.com | lovable.dev |
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| Company | Startup from India ยท 1 - 9 employees ยท 2026 | Startup from the United States |
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In their own words, as submitted to SaaSHub.


Evalgent is an AI voice agent testing and evaluation platform. AI voice agents fail in production not because the technology is weak, but because demos use clean audio and cooperative users โ real users don't. Evalgent catches failures before they reach production, cuts iteration cycles, and gets...
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As answered by people managing Evalgent and Lovable.
Evalgent's answer
Evalgent doesn't just tell you if your AI voice agent passed โ it maps exactly where and why it fails under real human behavior.
Evalgent's answer
Most voice agent QA tools tell you a test passed or failed โ Evalgent shows you under what conditions your agent starts to break and what to fix before deployment.
Evalgent's answer
Evalgent is built for AI voice agent developers and product teams using Vapi, Retell, LiveKit, Pipecat, Deepgram and ElevenLabs โ teams that have built an agent and need to know it works before real users call. QA engineers and voice AI product managers shipping agents at production scale are the core users.
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Recommendations tracked on public social media and blogs since March 2021.


Tracking Evalgent since Apr 2026.
This is one of the strangest side effects of AI-assisted development becoming mainstream. Tools such as Lovable, v0, Bolt, Base44, Google AI Studio, Replit, and Claude can take a plain-language description and turn it into a working... - Source: dev.to / 23 days ago
Lovable takes a broader approach than a dedicated frontend generator. - Source: dev.to / about 1 month ago
We built this in Lovable. A few prompts that saved real time:. - Source: dev.to / 3 months ago
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