Why We Changed Our Pricing and What It Means for your CX Team

That is not a tagline. It is the problem we have been trying to solve since Language IO was founded. And if we are honest, the way enterprise software has historically been priced has sometimes made that problem harder to solve, not easier. Unlike other SaaS platforms, we have always provided a volume-based model instead of a seat-based model. Now that AI agents are replacing human agents at scale, paying by word or token instead of seat makes even more sense.

So we changed it.

We lowered our core per-word pricing. We added pay-as-you-go terms. And we restructured our packages so you can get exactly what your operation needs at the scale you are actually at right now, not the scale someone assumed you would be at when they wrote your contract.

For a long time, deploying multilingual customer support meant committing to seat-based fees or committed volumes before you understood how many words you would need to translate. You were asked to forecast translation demand, sign a contract based on that forecast, and hope the numbers held. If they did not, you either overpaid or scrambled.

For large enterprises with years of data and stable support operations, that model works fine. For teams scaling quickly, launching in new markets, or simply trying to prove out multilingual support before a board asks for the ROI, it was a barrier.

We heard that feedback. These changes are a direct response to it.

Lower per-word pricing. We took a hard look at our rates and lowered our core per-word pricing. The same translation accuracy Language IO is known for across 155 languages at a cost that makes it easier to say yes.

Pay-as-you-go terms. If you do not know your volume yet, you should not have to guess. Pay-as-you-go lets you start supporting customers in their native language immediately, experience the quality difference firsthand, and build toward a volume commitment when you actually have the data to make one.

Platform fees built around your operation. Whether you are just launching multilingual support or running it at enterprise scale, our platform fees are now structured so you get the platform features your team needs and not a list of add-ons you will never use. Regardless, our task-specific AI solution plugs directly into the workflows where your human and AI agents need it, so you see a real return on your investment, unlike the 95% of AI adopters who see no return.

The price changed. Nothing else did.

Language IO still delivers the translation accuracy your brand depends on. Our support team is made up of language experts who are an extension of your team. They know your glossary terms, protect your brand names, and when you start seeing customer complaints in Korean, they can tell you exactly why and help fix it.

One agent. 155 languages. The accuracy to handle every customer like a native speaker without adding headcount or risking your brand experience. That has always been the Language IO promise. The new pricing just removes the last reason to wait.