SigmaMind AI (YC-backed) is a conversational AI platform to build voice and chat AI agents. Build with our no-code agent builder or plug in APIs. Prebuilt integrations + support for custom tools = fast, flexible deployment across industries.
🌟 Hey Product Hunt! We’re excited to introduce SigmaMind AI –- a platform for building, testing, and deploying conversational AI agents across voice, chat, and email.
💡 Why? Because stitching together speech-to-text, LLMs, text-to-speech and telephony might get you “something that talks” but not something that feels human. Developers spend weeks wrangling infra, latency issues, and flaky integrations. Businesses want results, not plumbing.
With SigmaMind AI, you can create and launch production-ready AI agents in minutes:
✅ Ultra-low latency (<800ms) for natural conversations
✅ Multi-prompt orchestration with function calling and memory
✅ Voice, chat, and email agents on one platform
✅ Prebuilt integrations (helpdesks, CRMs, calendars, telephony) + API hooks for your own tools
✅ Scales effortlessly from indie projects to enterprise volumes
🚀 Use Cases
From AI receptionists and sales agents to support bots and appointment schedulers -- SigmaMind AI helps businesses across industries automate conversations while keeping them human-like and reliable.
🌍 What’s New
- No-code Builder: Build multi-step, multi-channel agents visually.
- Function Calling: Connect agents directly to apps, CRMs, or calendars.
- Agent Templates: Deploy prebuilt agents in seconds.
- Observability Dashboard: Track transcripts, outcomes, and performance metrics.
🎁 Launch Offer: For new sign-ups, we’re giving 100 free minutes of credits to try it out.
📞 Want to experience SigmaMind AI live? Call an agent here: +1 (415) 792-4990
We’re already powering 5k+ conversations/day for early customers in e-commerce, healthcare, and financial services -- delivering ROI at scale.
🙏 Try it out today: https://sigmamind.ai
I'd love to get your feedback!
Sounds great, I love the well-thought-out dashboard - looks so clean and intuitive! What was the hardest part when building such a product, I wonder?
Congrats on the launch, SigmaMind looks super solid! How do you handle continuity of context between channels: say, voice to chat?
The no‑code builder + APIs sound perfect for teams. Can we start in the builder and then extend with custom tools via APIs? Do you offer evals/analytics dashboards to trace failures and measure conversation quality?
For security‑minded customers, do you support VPC or on‑prem deployment and data residency controls? Also, what’s included in the Free options for a small pilot (seats/usage limits)?
congrats on the launch! upvoted. Is there a way to review calls, add notes to certain turns in the transcriptions and iteratively improve call outcomes?
Love the idea of one platform for voice, chat, and email AI agents. The templates and function calling must save a lot of time. Quick question: How does the system route calls to the right department live when customers ask different questions? without needing to call the customer back?
Enterprise-ready chat and voice agents - exactly what’s missing in the current AI wave. Excited to see how customizable and secure these agents can get. Solid launch!
Congratulations team, for making presence on Product hunt.
With tools like SigmaMind AI, It is easy for anyone to build voice chat bots. Knowing the tech team closely, I can confidently say that the foundation of the tool is very strong.. if someone is planning to use the tool at a large scale. I have started using it myself and fits pretty well for my use case of creating voice assistant with my knowledge base
Kudos to the team !!
Super interesting — especially the <800ms latency claim. In my experience, most voice AI setups struggle with consistency once you add function calls or real-time API hits. How does SigmaMind handle that without breaking conversational flow?
Have used SigmaMind for building complete campaigns which makes them standout in getting things done you can go completely from creating a voice agent to launching it in one shot.
how do you manage when to divert to a human operator in the instance of a complex health need (in the insurance example for example)?
