Wordly launches ROI calculator after USD $200m savings

Wordly says its AI translation platform has generated more than USD $200 million in customer savings since launch and has introduced an ROI calculator for organisations assessing the cost impact of AI translation in meetings.

The Los Altos-based company said the savings figure covers the period since 2019. It also reported more than 1 billion minutes of live translation delivered across 120 countries over seven years, reflecting what it sees as rising demand for tools that show a direct financial return.

Wordly's analysis focuses on a part of the AI market where costs are relatively easy to compare. Live translation has long relied on interpreters, travel, audio equipment, booths and on-site production support, with expenses rising as more languages are added.

AI-based services, by contrast, translate speech in real time into multiple languages through attendees' phones or tablets. This removes some of the physical setup and staffing required for traditional interpreting.

According to Wordly, customers using its service often save more than 50% compared with conventional live translation models. The new calculator is designed to enable organisations to compare older workflows with AI-based translation by entering variables such as translation hours and the number of languages required.

Measuring return

The launch comes as companies and public bodies face tighter scrutiny over technology spending. Finance teams and procurement leaders are increasingly asking suppliers to show evidence of lower operating costs rather than broad claims of efficiency.

This is particularly relevant in multilingual communication, where spending often sits clearly within meeting, events and communications budgets. Translation and interpretation costs are therefore easier to isolate than the effects of many other AI tools.

Wordly said public sector organisations have saved more than USD $30 million since its launch, while usage in that segment has increased fivefold over the past two years. According to the company, government agencies and educational institutions have been among the adopters as they seek to widen access while keeping spending under closer control.

Wordly says its customer base includes corporate teams, non-profits, government agencies, associations, faith-based groups, and educational institutions. It argues that multilingual access is becoming a standard expectation across international conferences, hybrid meetings, council meetings and university events.

That broader use reflects a wider change in how organisations approach language access. For employers and institutions with international staff, members or audiences, the need is no longer limited to large flagship gatherings. It is increasingly extending to routine operational meetings and public-facing sessions where participation by speakers of different languages is expected.

Pressure on budgets

Rising event production costs have strengthened the case for reviewing translation spend. Traditional services can be expensive not only because of interpreter fees, but also because of travel, scheduling and the need to match language pairs with specialist personnel.

AI translation providers have positioned their services as a lower-cost, more scalable alternative. The appeal lies in replacing parts of the older setup with software-based delivery, particularly for meetings where multiple languages are needed at short notice or for dispersed audiences.

Even so, the market remains shaped by a wider debate over how AI investments should be judged. After an early phase driven by experimentation, many buyers now want measurable outcomes tied to budgets and operations. Translation is one of the few areas where a before-and-after cost comparison can be presented in straightforward terms.

Wordly framed its savings announcement in that context, arguing that decision-makers are shifting from asking whether AI works to asking where it produces a clear result. Its figures are likely to be read as part of a broader effort by AI suppliers to tie adoption to hard numbers rather than strategic aspiration.

"The gap between widespread AI adoption and the ability to demonstrate measurable financial outcomes is becoming a key point of pressure for decision-makers evaluating AI programs," said Lakshman Rathnam, Founder and CEO of Wordly. "Organisations aren't just asking whether AI works, they're asking where it delivers tangible results."