Bring your sound to customers around the world with machine translation
Every customer touch-point gives you the opportunity to better understand your consumers, so why not create the same great digital experiences in every language?
As part of the Panasonic Transformation initiative, the Digital Service team relies on Unbabel for their translation needs, and with our advanced MT, combined with humans in the loop, you too can translate any form of content, while maintaining tone of voice and keeping costs down.

“The synergy of machine and human translation is invaluable to us, delivering rapid turnaround times without compromising on exceptional quality, and ensuring our brand's voice and cultural nuances are flawlessly maintained."
Industry best translation quality: Introducing TowerLLM
The first multilingual LLM optimized for translation
Unbabel’s Generative AI model is the best performing machine translation on the market, enabling our customers to scale globally with lower costs and higher accuracy.
Beating out the leading translation solutions like GPT-4o, GPT-3.5, Google and DeepL, TowerLLM provides Unbabel customers with highly accurate translations, preserving meaning and nuance across 18 language pairs and various domains.

Our partnership with Panasonic
AI generated, human refined translations that you can trust
Since 2020 Panasonic has used on Unbabel to translate customer support tickets, video subtitles and knowledge base articles in 24 different languages. Through our partnership, Panasonic has been able to:
- Reduce costs of providing support in five languages by 60%
- Double service levels
- Maintain Net Promoter Score since using Unbabel
- Improve overall service level performance by 100%

Break out of silos and usher in the era of Panasonic Transformation
With the Unbabel Portal, your entire organization can centralize translation requests onto a single platform, allowing for better collaboration, communication and visibility across regional teams, all while keeping translation quality consistent.
Make translations seamless with our integration capabilities
Unbabel is already integrated with Panasonic's Oracle Service Cloud, which enables the Digital Service team to translate seamlessly. We also integrate with various other platforms and have our own API, allowing you to skip disruptive onboarding and remain working in your preferred applications.

Where Unbabel can make a difference
How Unbabel delivers
- Unbabel LLM built for translation to drive accuracy
- Quality reporting on every translation to spotlight focus on important markets
- Advanced AI engines to recognize terms and entities like currency to stay consistent
- Next-level reporting on usage and cost to keep track of every penny spent
- Translation workflows you can tailor to your unique content requirements
- GDPR and CCPA compliant, as well as being ISO 27001 certified
Quality Estimation drives down translation cost
Unbabel’s AI-powered Quality Estimation (QE), recognized as the best in the industry, provides quality scores of every translation. With transparency into performance, you can decide which translation requests require human review, and keep costs low when human intervention isn't required.
Scale to new markets, launch faster, connect deeper across:
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Tower - The only multilingual LLM available on the market
Unbabel’s TowerLLM combines the accuracy of huge data sets with cost-efficiency to offer e-commerce businesses real ROI for large translation volume.
Learn how one brand reduced translation time from 4 weeks to 1
With Unbabel’s bespoke MT engine, this global brand was able to significantly reducuce the time to market, enabling them to grow their global market share by 40%.
Speak to your dedicated Account Manager

Evelyn Glen - Enterprise Account Director
If you're interested in learning how you can also use Unbabel for your translation needs, drop me a message below and we can arrange a time to show you how the platform can make a difference to the way you create multilingual content.
The State of Translations In Business Report
