On-premise and cloud get scored together
A request for an auto dialer in Taiwan usually asks for on-premise and cloud in the same line.
On-premise · hybrid
On-premise, hybrid, and cloudOn-premise voice AI. Data can stay in your data center.
Asking for an auto dialer or voice AI that covers both on-premise and cloud? Pathors can run as fully managed SaaS, in your data center or private cloud, or with sensitive data kept on-prem while compute scales in the cloud. A typical go-live is about 30 days.
- Cloud, on-premise, or hybrid
- Connects to your PBX
- About 30 days to go live
Pathors
Deployment00:41This voice agent can run in your data center. The list and call records stay in the environment you name.
Does the model have to be on-prem, or only the data?
Either. On-premise keeps the stack in your data center or private cloud. Hybrid keeps sensitive data on-prem and lets compute scale in the cloud.
How long to go live?
About 30 days. A Forward Deployed Engineer stays with you from scoping and integration through testing and handover.
What stalls procurement
Cloud is faster to launch. Enterprise buyers still ask where the data sits.
The gap between an auto dialer and voice AI is often where the list, recordings, and inference are allowed to live.
Lists and recordings are not free to leave
Some enterprises require phone-sales lists, transcripts, and customer data to stay in their own data center or private cloud.
A rack in the data center is not a go-live
Hardware on site is the start.
How it lands
Decide where the data sits, then go live in about 30 days
Cloud, on-premise, and hybrid are the same voice agent. What changes is where data and compute run.
01
Pick the deployment
Fully managed cloud, the whole stack in your data center or private cloud, or sensitive data on-prem with compute in the cloud.
02
Connect the phone system you have
SIP attaches to the existing PBX or lines.
03
Test through to production
A typical go-live is within about 30 days.
Inbound
Customer-service recordings stay where you said they would
When AI phone customer service answers, transcripts and call records follow the deployment you picked.
The caller asks about an order or a booking.
Pathors
Hello, how can I help?
I need to move a booking. Is this call recorded?
Yes. The record stays in the environment your company named. Thursday at 2pm can move to Friday at 10am. Should I change it?
What you decide
One voice agent, three places to run it
Data location is explicit
Fully managed cloud, the whole stack in your data center or private cloud, or sensitive data kept on-prem.
The PBX can stay
SIP connects to the PBX or lines you already run.
Inbound and outbound share it
AI phone customer service and smart outbound use the same deployment.
Someone stays through go-live
A Forward Deployed Engineer joins scoping, integration, testing, and handover.
Compare
Cloud, on-premise, and hybrid
The table compares deployment models, not vendors. The wording matches the deployment descriptions already on the site.
| What to confirm | Cloud | On-premise | Hybrid |
|---|---|---|---|
| Where data and models sit | Fully managed cloud, on high-security cloud infrastructure | Your data center or private cloud. Data stays in-house. On-prem AI models are available | Sensitive data stays on-prem while compute scales in the cloud |
| Who runs it | We run operations. Fastest to launch | The machines are in your environment. We stay through go-live | Compliance and scale are drawn as one boundary during setup |
| Who it fits | Teams that can keep data in a managed cloud and want to launch sooner | Enterprises that must keep lists, recordings, or inference in their own data center or private cloud | Teams that must keep personal data on-prem and still need cloud scale |
| How the phones connect | SIP or cloud lines | SIP to the existing PBX. Numbers do not have to change | Same as on-premise. The current PBX can stay |
Enterprise customers can take on-premise deployment. A typical go-live is within about 30 days. A Forward Deployed Engineer joins scoping, integration, testing, and handover. Access follows data minimization, and call records stay auditable.
FAQ
Questions about on-premise voice AI
Cloud is fully managed SaaS. We run operations, and it is the fastest way to launch. On-premise deploys in your data center or private cloud so data stays in-house. Hybrid keeps sensitive data on-prem and lets compute scale in the cloud. Pathors runs all three, so the scripts are not rewritten for each model. The outbound workflow is on auto dialer and smart outbound.
Yes. On-premise places the system in your data center or private cloud, and on-prem AI models are available. If only sensitive data must stay in-house and compute may run in the cloud, that is hybrid, not a full on-premise stack.
Sensitive data stays on-prem while compute scales in the cloud, so compliance and scale sit together. During setup we draw where the list, recordings, transcripts, and model inference each live. Access follows data minimization, and call records stay auditable.
A typical go-live is within about 30 days, from discovery and build through pilot and production. A Forward Deployed Engineer works with your team to ship the project: scoping, integration, testing, and handover.
The PBX does not have to come out. SIP connects to the system you already run, so numbers and equipment can stay. AI phone customer service and smart outbound can each run in the cloud, on-premise, or hybrid. Inbound is covered on AI phone customer service.
Decide where the data sits, then book a demo
Bring the PBX you have today and whether the list can leave the data center. Thirty minutes is enough to line up cloud, on-premise, or hybrid.
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