Build the agent once. Run it everywhere.
Design, test and improve your agents in one place, then run them across every channel at volume.
Agents
Reservation agent
AI agent · Live
Phone
24 today
18 today
9 today

Voice and text agents
Agents answer calls and messages, understand what the customer wants and complete the request. The same agent works across phone, WhatsApp, chat, email and SMS, so a conversation continues when the customer changes channel.
Batch calling
Outbound campaigns run in bulk with personalized content per contact, and the platform handles scheduling and retries.
Builder
Create New AI Agent
Reservation speaks as Adam
Pick the voice. Tap one to hear it.
Adam
male ·
US English
Speaking…
Sophie
female ·
UK English
100+ voices to choose from.
Create Agent

AI builder
Agents are built by describing what they should do in a chat interface. Changes are made the same way, in minutes, without engineering work.
Knowledge base
Help docs, policies and internal material become the agent's source of answers, and updates take effect immediately.
Data extraction
The fields worth keeping are defined once and captured from every conversation afterwards.
Memory
JA
James Anderson
Returning customer
Recognized
Booked a table for four, Friday 8:00 PM
Phone · Last week
Asked about gluten-free options
WhatsApp · Yesterday
Agent, today
Your table for four is set for Friday.
Gluten-free noted.

Persistent memory
Every channel a customer uses forms one history rather than separate records, so the customer never repeats themselves.
Self-improving agents
An AI reviews conversations and proposes specific changes to the agent. Each suggestion is accepted or rejected by the team, and accepted ones take effect immediately.
Quality
Reservation request
Voice
1m 12s
Inbound
Call ended
92%
Call quality
88%
AI relevancy
96%
Faithfulness
Outcome
Task status
Completed
Sentiment
Positive
Rating

Post-call analysis
Every conversation is recorded, transcribed and tagged by outcome and sentiment.
Embedded evaluations
Quality is scored on all conversations rather than on a sampled few, and agent changes are tested against past conversations before reaching customers.
Conversation history
Every interaction is retrievable, whoever handled it.
