Shrinam.Shrinam.Six steps. Sub-second. Every visit.
Shrinam is not a chatbot stitched together from off-the-shelf SDKs. She runs on a native engine that listens, reasons, remembers and learns on every turn โ engineered for sub-1.5-second responses and visitor-level memory that survives across sessions.
From the visitor's first word to a booked meeting.
Captures voice and on-screen context the moment a visitor lands.
Runs Deep Mode: works through what, why, how, when, where before speaking.
Replies in natural voice โ Hindi, English or whatever the visitor speaks.
Stores every turn in the native memory engine, tagged to the visitor across sessions.
Adapts in real time โ corrections persist, new rules adopted, no repeat mistakes.
Qualifies and routes โ books the meeting, escalates to a human, or schedules a follow-up.
No third-party SDR widget โ every layer is native.
Gemini Live bidirectional WebSocket โ sub-second STT + LLM + TTS in one pipe.
Native CREG + MEEKU + Context Frame ฮ โ visitor-level long-term recall.
Voice-ID + name-snap so returning visitors are greeted by name.
IPoCA gate, correction-detect, auto-leave for cost control.
Recall.ai for Google Meet ยท WebSocket for the website.
Single Node process + Postgres โ your data, your infrastructure.
Open the mic, ask her anything โ feel the latency and the memory yourself.
Talk to Shrinam โ