AI Translation is Becoming a Key Feature Everywhere

New research by Slator has revealed that a fast-growing number of specialist and generalist software-as-a-service providers are integrating translation as a feature (TaaF) into their platforms in a bid to offer more added value to their customers.

The findings show a trend of how the integration of large language models (LLMs) in software solutions is enabling companies to translate content directly in their day-to-day business applications. In some cases, the features also include custom output based on the end user’s business content.

The trend towards integrating translation AI into software is occurring in both regulated and non-regulated industries, and covers use cases from content or design authoring tools, to project management productivity solutions or document management solutions.

One example analyzed in the report is Oracle, whose AI translation feature was launched in a product called Oracle Argus in October 2024. The tool leverages proprietary, custom-trained large language models to translate safety case information for pharmacovigilance reporting.

The feature optimizes translation output by analyzing texts and identifying terms that are unique to specific providers, such as drug names or symptoms.

Another example reviewed in the report is US start-up Prepared, which connects 911 callers to first responders — regardless of the language — and enables text, audio, and text-to-voice translation on demand using AI when callers speak in another language.

Additional case studies cover different aspects of language production, from written text-to-text translations to speech-to-speech, speech-to-text, and text-to-speech output.

The case studies enable language service providers and language technology providers to assess the impact that these translation features may have on the evolving supply and demand of core products and services.

The research report is now available, either as a one-off purchase, or as a download for existing Slator subscribers.