Data Stays Inside Your Network
Messages, users, groups and recording files all live on your servers and object storage, and you maintain the account system yourself.
Two delivery models: run the full stack as a cloud service, or deploy it on your own servers so accounts, messages and recordings stay inside your network Run the full stack on your own servers and keep data inside your network Explore Private Deployment
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The same IM and real-time video (RTC) capabilities, deployed as a whole stack on your own servers: data stays inside your internal network, and accounts, messages and recordings stay in your hands. Delivered as offline packages or as container images-based deployment, with a plan built around your data center and network.
When data has to stay on the internal network, when data-center ownership is a hard requirement, or when you want to set the upgrade cadence yourself, public cloud is no longer the only option: same capabilities, a different delivery model.
Messages, users, groups and recording files all live on your servers and object storage, and you maintain the account system yourself.
The same server and SDKs: moving from cloud to private deployment does not mean rewriting your service, and APIs and data models stay unchanged.
The whole stack is delivered as an offline package or through an internal image registry, so installation and upgrades do not depend on the internet; deployment plans follow your data center conditions.
Version upgrades follow canary and rollback steps, and you decide the change window, avoiding the uncertainty of automatic cloud upgrades.
Choose by network environment and data center conditions; what we deliver and how we support it stays the same.
Services and data are all deployed in your data center and reach users over the internet or a dedicated line, which suits most businesses.
Built for physically isolated environments: images and dependencies ship inside the installation package, and installation and upgrades never reach the internet.
Start on a single server, or go straight to a multi-server cluster or container orchestration; node count and topology follow your business scale.
All three layers run inside your internal network and only the access layer is exposed to the internet; the database and object storage reuse the infrastructure you already run.
Start with a single server; the server side is delivered as container images images. The database is relational database, files and recordings live in S3-compatible object storage, and you can keep using your existing storage.
Internal network connectivity is enough and only the access layer is exposed; certificates, load balancing and access control follow your existing operations setup, and offline environments install from offline packages.
Keep using the cloud SDKs: point the server address at your internal entry point and the rest of the integration code is identical to the cloud service.
Capacity and node counts are assessed against your business scale; describe them in the form below.
From requirements to acceptance and training, five stages, each with its own deliverables.
Clarify the use case, concurrency, deployment environment and compliance requirements, then produce sizing advice and a capacity estimate.
Set out module scope, deployment topology, delivery timeline and licensing model; sign the contract once both sides agree.
Prepare servers, database and object storage to the environment requirements, and open the necessary internal ports and domains.
The delivery team completes installation, initialization and load testing, and integrates the client SDKs, callbacks and metering data.
Confirm each item on the acceptance checklist, deliver the operations manual, and run one training session for operations and engineering.
Annual maintenance covers version upgrade packages and ticket support; the exact scope is set in the contract.
Describe your use case and deployment scale, and a pre-sales engineer will confirm the environment and module scope with you.
Phones are answered 9:00–18:00 on business days; requests submitted through the form are answered within one business day.
Leave your contact details and deployment context, and a pre-sales engineer will come back with module scope, node estimates and a delivery timeline based on your data center conditions.
Submitted requests enter the pre-sales queue and are answered within one business day; your details are used only for this conversation, see the Privacy Policy.
The demo environment matches the private deployment build feature for feature, so you can validate the experience before choosing a delivery model.