Which conversational AI platforms can run on premises?

Of 34 enterprise conversational AI platforms compared, these document on premises deployment in a public source: Avaamo, Bland AI, Blits.ai, boost.ai, Druid AI, ElevenLabs Agents, IBM watsonx Orchestrate, Kore.ai, Rasa, Retell AI, Teneo, Uniphore, Wonderful and Yellow.ai.

Which conversational AI platforms can run air gapped?

Air gapped deployment, with no internet connection at all, is documented by Bland AI, Blits.ai, Druid AI, IBM watsonx Orchestrate, Rasa, Retell AI and Wonderful.

Can large language models run on premises?

Yes. Open weight models can be hosted on your own GPUs, and several platforms let you bring your own LLM, including Aisera, Avaamo, Blits.ai, Cognigy, Druid AI, ElevenLabs Agents, IBM watsonx Orchestrate and Kore.ai. Check that both the platform and the model run inside your environment.

What is the difference between private cloud and on premises?

Private cloud runs in a dedicated environment at a cloud provider, often in your own account. On premises runs in your own data center on your own hardware. Air gapped is on premises without any internet connection.

Which platforms no longer offer on premises to new customers?

According to their own documentation, Cognigy no longer offers on premises installations to new customers; existing installations continue to be supported.

On premises conversational AI platforms (2026)

Of 34 enterprise conversational AI platforms compared, 14 document on premises (on prem) deployment in a public source, and 7 of those also document air gapped deployment. Here is who they are and what to check before you buy.

Checked October 13, 2026

Cloud, private cloud, on premises or air gapped?

Cloud (SaaS)

The vendor runs the platform in its own cloud and you use it as a service. Fastest to start, but data and models sit in the vendor's environment.

Typical for: teams without strict data residency rules

Private cloud

The platform runs in a dedicated environment, often in your own AWS, Azure or Google Cloud account, so you control the region and network.

Typical for: enterprises with residency rules that accept a cloud provider

On premises

The platform runs in your own data center on your own hardware. You control the infrastructure, the data and, with a local model, the AI itself.

Typical for: banks, insurers and governments with sovereignty requirements

Air gapped

An on premises installation with no connection to the internet. Updates and models arrive through a controlled process, never over a live link.

Typical for: defense, intelligence and the most sensitive banking workloads

Platforms that document their on premises position

Platforms that document on premises deployment, plus any whose own sources say it is not offered. Every value links to its source; the full set of 34 platforms is in the platform comparison.

Platform	SaaS	Private cloud	On premises	Air gapped	Models	Bring your own LLM	ISO 27001	SOC 2	PCI DSS
Avaamo United States	Yes	●Not documented	Yes	●Not documented	Multiple providers	Yes	Yes	Yes	Yes
Bland AI United States	Yes	Yes	Yes	Yes	Own models	●Not documented	Yes	Yes	Yes
Blits.ai Netherlands	Yes	Yes	Yes	Yes	Multiple providers	Yes	Yes	Yes	Yes
boost.ai Norway	Yes	●Not documented	Yes	●Not documented	Not documented	●Not documented	Yes	Yes	●Not documented
Cognigy Germany	Yes	●Not documented	No	●Not documented	Multiple providers	Yes	Yes	Yes	Yes
Druid AI HQ not documented	Yes	Yes	Yes	Yes	Multiple providers	Yes	●Not documented	●Not documented	●Not documented
ElevenLabs Agents United Kingdom	Yes	Yes	Yes	●Not documented	Multiple providers	Yes	Yes	Yes	Yes
IBM watsonx Orchestrate United States	Yes	Yes	Yes	Yes	Multiple providers	Yes	●Not documented	●Not documented	●Not documented
Kore.ai United States	Yes	Yes	Yes	●Not documented	Multiple providers	Yes	Yes	Yes	Yes
Rasa United States	No	Yes	Yes	Yes	Multiple providers	Yes	●Not documented	●Not documented	●Not documented
Retell AI United States	Yes	Yes	Yes	Yes	Multiple providers	Yes	Yes	Yes	●Not documented
Teneo Sweden	Yes	●Not documented	Yes	●Not documented	Multiple providers	Yes	Yes	Yes	●Not documented
Uniphore United States	Yes	Yes	Yes	●Not documented	Multiple providers	Yes	Yes	Yes	Yes
Wonderful Israel	Yes	Yes	Yes	Yes	Multiple providers	●Not documented	Yes	Yes	Yes
Yellow.ai United States	Yes	●Not documented	Yes	●Not documented	Multiple providers	Yes	Yes	Yes	Yes

Documented, click for the source A source states it is not offered● Not publicly documented

What to check before you buy on premises

1
Where do the models run?
On premises software that still calls a public LLM API is not on premises AI. Ask whether you can bring your own LLM or host open weight models locally.
2
Is it the same product?
Some vendors offer fewer features on premises than in their cloud. Ask for a feature parity list and the release cadence for on premises versions.
3
Do the certifications cover it?
Certifications such as SOC 2 or PCI DSS often cover the vendor's cloud only. Ask which deployment models are in scope.
4
Who runs updates?
Agree who installs updates and security patches, how often, and how that works in an air gapped environment.
5
What hardware does it need?
Local models need GPUs. Get sizing for your volumes, including peak load and voice, which is more demanding than chat.
6
Is it still offered to new customers?
On premises options get retired. Check that the vendor sells it today, not only supports existing installations.

How Blits.ai runs on premises

Blits.ai publishes this page, so weigh its position accordingly. The platform is Kubernetes native and deploys to any public or private cloud, into your own data center, or fully air gapped. Models can run inside your environment: bring your own LLM, host open weight models, or connect to the providers you approve.

The same platform runs as a managed service with dedicated EU and UAE production regions, so a bank can start managed and move on premises later without rebuilding. It is ISO 27001, ISO 42001, SOC 2 Type II and PCI DSS Level 1 certified.

Explore the platform →