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Discuss Government Language Access
Diya brings AI interpretation, professional interpreter access, and governed multilingual communication into one language-access experience.
Built in healthcare, where we learned the hard parts of language access. That experience gives government deployments a head start.
Healthcare has been Diya's proving ground for language access in consequential environments.
Translating words is only part of the job. Language access also has to fit the workflow, protect sensitive information, bring in professional interpreters when needed, and give the organization a way to manage quality, risk, and accountability.
Government operations are different. Many of those surrounding language-access problems are already familiar.
That means a government deployment does not have to start from zero.


Government operations are different. The language-access foundation gives a head start.
The world's largest technology companies continue to invest at enormous scale in speech, translation, reasoning, and related AI capabilities.
Diya is built to harness that progress rather than ask each organization to recreate it for itself.
The underlying AI can provide increasingly powerful speech, translation, and reasoning. Diya turns those capabilities into a usable language-access service — how an interaction begins, which language and service path is used, when a professional interpreter joins, how the workflow continues, and how quality and operations are governed.
As the underlying AI improves, those gains can flow through Diya to the people using it — through qualification and governance — without rebuilding the surrounding language-access service around every new model or provider.
Better underlying AI can improve the service above it.
The user should not have to decide in advance whether the answer is AI or a professional interpreter. The need is understanding.
Sometimes AI is appropriate. Sometimes a professional interpreter is the right choice from the start. Sometimes the need changes during the conversation.
Diya is designed for all three.
AI and professional interpretation are part of the same language-access experience, so moving between them is part of the service rather than a separate system bolted on afterward.
Diya's production platform today is connected. A federal deployment may add requirements such as offline operation, specific device configurations, federal hosting, security controls, and authorization. Those requirements are engineered and validated for the selected operating environment.

Diya distinguishes established product capability from the engineering, integration, and authorization required for a specific federal deployment.
Government work happens in offices, vehicles, field locations, public-facing settings, and places that were never designed around language access.
The service has to travel with the people doing the work.
For agencies evaluating Mobile Language Translation Services (MLTS), Diya provides the operating foundation for connected AI language access, professional interpreter pathways, managed-device deployment, language-quality governance, and operational visibility.
Device, connectivity, offline, security, and field-performance requirements are then engineered and validated for the agency's operating environment.
Every agency has its own technology, security, device, data, and authorization requirements.
Diya works within that environment with the agency and its delivery partners — providing the language-access platform, technical evidence, integration support, and product expertise needed for the deployment.
Discuss Government Language Access