Conversations that sell.
Rufori orchestrates every customer call — for more appointments, trust and revenue. 24/7. In fluent German.
Platform
How a call gets processed.
Speech recognition, language model, knowledge base and voice synthesis — orchestrated in real time. In under a second.
01
Inbound call
SIP / WebRTC
02
Speech-to-Text
Real-time transcription
03
LLM processing
Intent & context
04
Text-to-Speech
Natural response
05
Monitoring
Logging & analytics
03a
Knowledge base
RAG retrieval
03b
Tool execution
API, calendar, CRM
03a and 03b run in parallel during step 03.
Architecture
Core components.
Modular architecture. Each component has one defined job.
Speech-to-Text
Neural speech recognition turns audio into text in real time. Through dialects and background noise.
Large Language Model
Understands intent, holds context-aware conversations, and decides on next actions autonomously.
Text-to-Speech
Natural voice synthesis with emphasis, pauses and emotional nuance. Steerable from the system prompt.
Knowledge Base (RAG)
Searches your company documents in real time and feeds the model relevant passages as context.
Tool integrations
Calendars, CRMs, tickets, webhooks, call transfers. The agent takes action mid-call, in real time.
Call analytics
Transcripts, intents, actions, sentiment. Full logging of every call in the dashboard.
The orchestration layer.
The central architecture component that connects every system. Without it the building blocks are isolated tools. With it, they become a capable agent.
Control center
Coordinates data flow between every component in real time.
Sub-second latency
Parallel processing, smart caching, predictive loading.
Model-agnostic
Better models can be plugged in without customer configuration.
Decision logic
Decides in milliseconds: respond, query knowledge, call a tool, or transfer.
Full control over latency, data flow, model choice and compliance.
Maximally reliable.
Endlessly scalable.
Our platform orchestrates the full AI Agent lifecycle — secure, reliable, and with measurable outcomes.
Click on a phase
DEFINE
Define intelligent AI agents that fit seamlessly across every channel and can be extended flexibly.
Learn moreTEST
Test your AI agents with built-in simulation and QA tools — under real-world conditions, before go-live.
Learn moreOPTIMIZE
Optimize your AI agents using real data from past conversations — for better customer experiences and bigger impact.
Learn moreSCALE
Scale your AI agents globally with no compromise on performance or reliability — across every channel and language.
Learn moreIntegration
Three phases. Full control.
Rufori plugs in live data before, during and after every call. From zero code to full API.
Phase 1
Before the call
CSV upload
Zero code
Upload a CSV. Your agent knows every caller by name. Customer ID, email, last call history. All available with one click.
Pre-call API request
Max. flexibility
Pull customer data in real time from your CRM or any other system, right before the agent picks up.
Phase 2
During the call
Live API requests
Real-time access
Mid-call, your agent can fetch, update or add data. Via direct API calls or automation tools.
Calendar integration
One click
Connect Google Calendar or Outlook in one click. Your agent books, reschedules and confirms appointments automatically. Including hours and availability.
Phase 3
After the call
Email summary
Built-in
Automatic email summary, straight from Rufori, no setup.
Webhooks and automation
Unlimited
Send the transcript and extracted variables to a webhook. Perfect for CRM logging via n8n, Zapier or your own systems.
Want to see the platform live?
15 minutes, a real call, your own use case. No sales — just product.