Customer support
Support that knows the customer.
Every channel and every agent, human or AI, working from one memory of each customer, with the source of every fact.
What changes
With Geniffy.
An agent that knows the customer. Their plan, their recent tickets and what they were promised, before the first reply.
Context across every channel. What a customer said on chat, email or WhatsApp is known on the next call.
Handoffs with full history. A human agent takes over with every fact and the line it came from.
How it works
For customer support.
- 01A memory per customer
Your application writes what each customer says, on chat, email, WhatsApp or the phone, into their own space.
- 02Read before replying
context() puts their plan, open issues and what they were promised in front of the model.
- 03Continuity on handoff
A person taking over sees every fact and its source, so no customer repeats themselves.
mem = client.space(f"customer_{ticket.customer_id}")
mem.memories.add(messages=ticket.thread) # what they said, kept
context = mem.context(ticket.latest_message) # what bears on this replyOther use cases
More ways to build.
- SalesEvery account, remembered.
- Coding agentsDecisions that outlive the session.
- Personal AIAn assistant that knows its user.
- EducationTutors that remember each learner.
- Health and coachingCare that builds on every session.
- Voice agentsEvery call continues the last one.
- CommerceFollow-ups that know the shopper.

