Use case
Run the whole CRM — including the AI — on your own infrastructure
For regulated industries, government suppliers and anyone whose customer list is the business, sending pipeline data to a third-party AI provider is not a trade-off they are willing to make. Qivity’s assistant runs on local models inside your deployment, and the whole platform can be deployed on your own servers or private cloud.
The problem
What breaks without it
Legal will not approve third-party AI
Because with every other CRM assistant, the honest answer is that records leave the building. Here they do not.
Data residency requirements
Deploy in the region or the datacentre your regulator requires.
Vendor lock-in
Your data sits in a standard PostgreSQL database you can query and export.
How Qivity CRM handles it
Self-hosted CRM, in the product
Local language models
The assistant runs small models on CPU inside your own container — no external API call, ever.
Your own database
PostgreSQL, on your infrastructure, with strict per-organisation isolation.
Encrypted credentials
Connected mailbox tokens and sensitive settings are encrypted at rest.
Audit logging
A tamper-evident record of administrative actions.
Questions people actually ask
Does the AI get worse when it runs locally?
It is different, not worse at the job it does. Lilly answers from your documentation and your records rather than generating open-ended prose — which is the right design for a CRM assistant, because a confidently invented pipeline number is worse than no answer.
Does self-hosting include Lilly for free?
No. Lilly is an optional AI add-on on paid plans, including self-hosted. It is not on the Free trial. Ask sales for the current rate. On self-hosted she runs on your infrastructure.
Related
Bring your pipeline. We’ll bring a laptop.
Twenty minutes, on your data — not a canned demo. If we are the wrong fit, we will say so on the call.