Elamora is a purpose-built voice and conversational CRM. We combine low-latency telephony, verifiable document retrieval, and conflict-free calendar booking into a unified, tenant-isolated platform.
We focus on the technical fundamentals that make automated conversations dependable in commercial environments.
Natural speech requires rapid turn-taking. By integrating OpenAI Realtime models with low-latency PSTN/SIP telephony providers, Elamora delivers voice conversations without unnatural conversational pauses.
Every tenant's data, knowledge vectors, contact timelines, and call logs are segregated at the database and application levels. Your business data is never shared across tenants or used for external model training.
Rather than relying on ungrounded generation, our RAG pipeline references your uploaded documents and website URLs using pgvector semantic search, citing exact source pages for complete accuracy.
Booking logic is handled deterministically against live service calendars. The agent checks operating hours, slot availability, buffer times, and service routing to prevent double-bookings.
When a conversation exceeds agent parameters or requires sensitive intervention, human operators can seamlessly take over the thread with complete interaction context already visible in the CRM inbox.
Whether a customer reaches out via telephone, WhatsApp, or website chat, all interactions merge into a single contact record. Your team always has the complete relationship history in view.
We believe conversational automation should serve as a practical operational tool, not an exercise in hype. Customers who reach out to your business expect prompt, accurate answers and straightforward service booking.
Our engineering team focuses on latency reduction, strict data boundaries, reliable calendar verification, and transparent source attribution. Every feature is designed to give business operators full auditability over what their AI agents say and do.
Schedule a walkthrough with our engineering team to review our telephony architecture, RAG knowledge ingestion, and CRM integrations.