SigmaMind AI - Build enterprise-ready voice/chat AI agents
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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.
Replies
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?
SigmaMind AI
@7wikgupta Love that you brought that up! Real-time calls are usually where latency creeps in. In SigmaMind, devs can trigger function calls in parallel - the model keeps streaming responses while waiting on API data. Keeps the convo smooth and snappy.
Alai
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?
SigmaMind AI
@krishna_gupta51Â thanks! Yes, you can review node level and system level call logs on the platform. Moreover, the entire voice and transcription history is available. Currently, you can't add notes within a call transcription itself but you can get call performance and detailed analytics, and accordingly, you can change the call flow or call prompts as well.
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)?
SigmaMind AI
@marketing_doraverse We do offer a private cloud and on-prem deployment for enterprise use cases.
For users testing out for a POC, our pay-as-you-go pricing offers usage based fee with 100 mins worth of free credits when you sign up.
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?
SigmaMind AI
@marketing_doraverse Yes exactly. Yes you can check detailed call analytics on the platform with entire call recordings, transcriptions and system level logs for each conversation.
You can refer to our API docs here - https://docs.sigmamind.ai/
SigmaMind AI looks outstanding—building and deploying enterprise-grade voice and chat agents with such flexibility is no small feat. Do you plan to expand into agent analytics or performance optimization tools next?
Congrats on the launch, SigmaMind looks super solid! How do you handle continuity of context between channels: say, voice to chat?
SigmaMind AI
@vik_sh we have integrations with help desk systems like Zendesk that enable us to detect the end of conversation on one channel and do a seamless handover to the other. Moreover, the ability to setup a multi-prompt agent with tool calls makes this easy to setup as well.
SigmaMind AI
@vik_sh To answer from a more technical level, we keep the context in cache for the entire conversation. The system make sure that it follows the same conversation thread even when the channel is switched by the agent/user. This way, no matter where the conversation is getting followed, the agent is always replying back with the most updated conversational history.