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Alternatives

Products that do what Mixpanel for Voice AI Agents does

Hi, I’m Tom Shapland, the cofounder of Canonical AI. LLMs have changed the paradigm for Voice AI. Compared to rule-based systems (Siri, Alexa, Amazon Polly), LLM-based Voice AI agents understand the intent of the caller and can more often resolve the issue without escalation to a human agent. Moreover, with LLM-based Voice AI agents, developers can build a Voice AI agent more quickly, onboard customers quicker, and iterate on the product faster. Our customers’ Voice AI agents are doing amazing things. It’s so much fun to see the agents achieve the caller’s objective, even in the face of…

  1. 1

    A low-code , No-Code Voice AI agents for everyone

    2025

  2. 2

    Revolutionize LLMs chat platform with pay-as-you-go pricing

    2025

  3. 3

    Analytics for your voice AI agent

    2024

  4. 4

    Let AI conduct user research for you

    2025

  5. 5
    Taylor AI118

    Fine-tune open source LLMs in minutes

    2023

  6. 6
    AQX103

    Build AI voice agents to automate sales & support

    2025

  7. 7

    Fine-tune and direct AI voices through prompts

    2024

  8. 8

    Powerful Conversational AI Agent Builder Platform

    Nov 2025

  9. 9

    24/7 conversational AI voice agents to handle customer calls

    2025

  10. 10

    Fast, accurate STT for production-grade voice agents

    May 2026

  11. 11

    Build Voice AI Agents in 100+ languages for ₹1.5/min

    May 2026

  12. 12
    LangCall127

    Skip hold music and let AI make calls for you

    2024

  13. 13
    Bolcho AI103

    Build Voice AI agents that actually speak India

    Aug 2026 · bolchoai.in

  14. 14

    One API to build production-ready voice agents

    Apr 2026

  15. 15

    Turn expertise into 24/7 client-facing AI voice agents

    Apr 2026

  16. 16

    Hire Hyper-Realistic Multilingual AI TeleCallers

    2025

  17. 17

    Prompt, run, and deploy agents across Social Media and LLMs

    2025

  18. 18HH

    I found myself building a bunch of LLM-backed features that needed to use tool calling, and some of those tools involved doing things that were somewhat high stakes - communicating on my behalf or modifying shared / production data. one example - I wanted to replace a marketing website with a chatbot + vector DB loaded with the previous content, docs, and blog posts. Between hallucinations, missing knowledge base info, and the LLM generally writing like an psuedo-intellectual high schooler, I realized I couldn't trust it to communicate unsupervised with my website visitors. I needed a…

    2024 · github.com

  19. 19MA

    Hi HN, TL;DR Mirror AI is a cross-platform desktop action oriented LLM. Instead of just replying with text, it can run terminal commands, move files, hit APIs, send email/messages, schedule calendar events, query databases etc. - and chain those steps in one request. Why I built it Chatbots are great for answers but stop at the “OK, now go do it” moment. I was copy-pasting between ChatGPT and my shell/IDE/Gmail far too often, so on red-eye flights I hacked a bridge that lets an LLM execute tasks under a permission layer. Friends asked for it, feature-creep happened, and here…

    2025 · themirrorai.com

  20. 20MV

    I'm Tom, the cofounder of Canonical AI. I build a Voice AI agent that interviews you, then writes LinkedIn and X posts based on the interview. ### Why did I build this? 1. LinkedIn and X are b2b lead goldmines. But generating content is hard. You have to figure out what to say. If you're like me, you have trouble coming up with social post ideas when staring at a blank screen. But interesting ideas arrive when I step away from my laptop and talk to people. Also, it's hard to compose the content in a way that appeases the platform algorithms. 2. I want to dogfood my product. We’re building…

    2024

  21. 21

    Human-like AI voice agents, built for India

    4d ago · trikon.tech

  22. 22AA

    Hi HN, I'm the creator of AVA - AI Voice Agent for Asterisk My repo was shared here once before by someone else so I wanted to follow up with the progress since then. https://news.ycombinator.com/item?id=46380399 I've been working with Asterisk/FreePBX systems for years. I wanted to add AI voice capabilities to legacy phone systems without paying per-minute SaaS fees or ripping out the entire telephony stack. So I built AVA, a self-hosted AI voice agent that can integrate into any traditional phone system. While most solutions demand expensive migrations to cloud-only…

    Mar 2026 · github.com

  23. 23OS

    Hey HN, it’s Russ - cofounder of LiveKit. An open source stack for building realtime AI applications. We’re sharing our first homegrown AI model for turn detection. Here’s a live demo: https://cerebras.vercel.app/ Voice AI has come a long way in the last year. We now have end-to-end systems that can generate a response to user input in 300-500ms — human level speeds! As latency reduces, a common problem that surfaces is the LLM responds too quickly. Any time there’s a short pause in a user’s speech, it ends up interrupting them. This is largely due to how voice AI applications…

    2024

  24. 24HL

    At testup.io we have been working for a while to bring artificial intelligence to the field of test automation. Just a few years ago, the primary challenge laid in accurately identifying UI elements following minor structural changes, such as updates to IDs or paths. The emergence of Large Language Models (LLMs) raised the bar for what it meant to be smart. Now, we anticipate the robot to do lots of things autonomously, such as retry in cases of unresponsiveness or handle minor error reports. A more challenging, but soon expected feature, would involve the test robot navigating your web shop…

    2024 · github.com

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