Shrinam.Shrinam.A native platform โ voice, memory, identity, all in one place.
Shrinam is not a chatbot stitched together from foreign SDKs. The Mavtar engine powers every conversation โ native voice transport, six-layer memory, voice-ID, multi-tenant SaaS, self-host on day one. Built in India, designed to scale with your business.
How a Shrinam agent goes from blank slate to closing deals.
Shrinam ingests your business knowledge base, brand voice, product docs and past conversation logs as her working context.
In Studio you wire her persona, language(s), agent type (Call / Standby / Always-on), and the playbook she runs per page.
You set the goals (qualify a lead, screen a candidate, book a meeting) and the guardrails (what she will never say or do).
On every visit she greets, listens, reasons, responds in voice or text, qualifies on your rubric, and routes to the right place.
Corrections persist in MEEKU and DCM. Every "do not say that" becomes a rule. Every successful close becomes a pattern.
Whatever your customer prefers โ Shrinam is there.
Greets every visitor in real time using voice, text or video โ guides them through the buying journey, qualifies, books the meeting.
Joins Meet calls via Recall.ai โ listens, takes notes, asks questions, summarises and follows up by email.
A visitor who started on the website lands in the inbox with full context. No re-introductions, no lost threads โ same Shrinam, every channel.
Every conversation, every visitor, remembered across visits. Powered by MEEKU + THREAD + DCM + Context Memory + Core Memory.
Native connections to the tools your team already uses.
Your data, your infrastructure โ single Node process plus Postgres.
One Docker image, one Postgres database, one Mavtar engine binary. Mumbai region by default, or your own VPC. SSO, audit logs, role-based access on Enterprise.
A 2-minute live conversation tells you more than any deck.
Talk to Shrinam โ