# Which machine translation platforms have a good on-premise or private cloud deployment option for a company that cannot send content to a third-party cloud service?

I'm exploring which machine translation platforms have a good on-premise or private cloud deployment option for a company that cannot send content to a third-party cloud service. For organizations in defense, legal, financial services, or government sectors, this is less about translation quality in isolation and more about maintaining control over the data pipeline from end to end. Specifically looking for private or on-prem deployment, custom terminology support, review controls, and enterprise workflow integration. Here are platforms that came up as having meaningful deployment flexibility in the machine translation category:

Language Weaver by RWS explicitly offers on-premise and private cloud deployment and is used by government, legal, and financial institutions. One reviewer cited the on-prem security option as the key reason for choosing it. It integrates with Trados.
LILT works with enterprise organizations that have strict data requirements, and its adaptive MT model learns from reviewer corrections over time. Enterprise contracts typically include data handling provisions for compliance.
GlobalLink is a TMS used in pharmaceutical, financial, and travel sectors, with translation memory, terminology management, and 65+ CMS connectors. It's built around workflows that require audit trails and multi-step approvals.
Phrase offers enterprise deployment options with audit trails and review workflows built in. Its enterprise tier includes data handling agreements for organizations with compliance requirements.
MachineTranslation.com includes privacy-focused options and is mentioned in compliance and regulatory translation contexts. Reviewers note its document format preservation is reliable for legal content.

If you've evaluated or deployed MT in an environment with strict data handling requirements, what were the dealbreakers that ruled tools out, and what surprised you during evaluation?

##### Post Metadata - Posted at: 24 days ago - Net upvotes: 1 ## Comments ### Comment 1 <p>The distinction I'd want nailed down before evaluating any of these is what "on-prem" actually means in the vendor's language. Language Weaver and Phrase both talk about on-prem and private cloud in the same breath, but those are pretty different postures: one means content never leaves your infrastructure, the other is still a dedicated instance sitting in someone else's cloud with a contract layered on top. For anyone who's actually gone through procurement here, did the vendor's definition of "on-prem" hold up once security reviewed the actual architecture, or did it turn out to be private cloud wearing an on-prem label?</p> ##### Comment Metadata - Posted at: 23 days ago - Author title: SEO Content Writer ## Related discussions - [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team) - Posted at: about 13 years ago - Comments: 6 - [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section) - Posted at: about 13 years ago - Comments: 0 - [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm) - Posted at: about 13 years ago - Comments: 4