List of Unbabel Customers
Lisboa, 1269-177,
Portugal
Since 2010, our global team of researchers has been studying Unbabel customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Unbabel for Natural Language Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Unbabel for Natural Language Processing include: Microsoft, a United States based Professional Services organisation with 221000 employees and revenues of $243.00 billion, GoCardless, a United Kingdom based Professional Services organisation with 650 employees and revenues of $100.0 million, TuneIn, Inc., a United States based Media organisation with 200 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using Unbabel, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Unbabel customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
GoCardless | Professional Services | 650 | $100M | United Kingdom | Unbabel | Unbabel | Natural Language Processing | 2022 | n/a |
In 2022, GoCardless deployed Unbabel to scale multilingual customer support in the United Kingdom, using the Natural Language Processing application to embed translation and automation directly into customer operations. Unbabel was integrated with GoCardless' Zendesk workflow as part of a CRM and customer service implementation, enabling translated ticket handling and automated response suggestions inside the existing help desk platform.
The implementation configured Unbabel as a translation orchestration layer within Zendesk, combining machine translation, AI assisted triage, and human escalation points to maintain quality. Functional capabilities included automated translation of inbound inquiries, response drafting for agents, and workflow triggers that routed tickets for human review when quality thresholds required intervention. The integration automated 28% of inquiries, delivered a stated time savings of 284 hours, and sustained a 92% CSAT according to the published case study.
Operational coverage focused on customer support and customer operations teams, with the Unbabel integration embedded in Zendesk workflows used by support agents across GoCardless' UK operations. Governance emphasized workflow instrumentation and quality monitoring within the ticketing system, using Unbabel translation outcomes and CSAT tracking to validate service quality and escalation rules.
|
 |
Microsoft | Professional Services | 221000 | $243.0B | United States | Unbabel | Unbabel | Natural Language Processing | 2019 | n/a |
In 2019, Microsoft deployed Unbabel within its Customer Service & Support operation. Unbabel was implemented as a Natural Language Processing application provisioned for a global CRM and customer-service deployment to enable multilingual support across channels.
The implementation focused on Natural Language Processing capabilities typical for multilingual customer support, including automated language detection, machine translation for email and chat, and agent assist workflows to surface translated responses and suggested replies. Configuration emphasized inline agent productivity features and content quality controls, with Unbabel integrated into agent-facing support workflows.
Operational scope was global within Microsoft CSS, with the case study indicating use across email and chat channels and coverage across regional support teams. The deployment was positioned as a CRM and customer-service layer to enable agents to handle tickets and conversations in multiple languages while remaining in core support interfaces.
Governance and process changes centered on embedding multilingual handling into support workflows and establishing quality monitoring for translated interactions. According to the published case study on October 25, 2019, the deployment improved customer satisfaction by as much as 10 points and increased issue resolution by up to 20 percent.
|
 |
TuneIn, Inc. | Media | 200 | $50M | United States | Unbabel | Unbabel | Natural Language Processing | 2022 | n/a |
In 2022, TuneIn, Inc. deployed Unbabel to enable English-speaking agents to support six additional languages within their Kustomer CRM, as part of a CRM and customer-service deployment in the United States. The implementation used Unbabel to extend multilingual support for customer service teams without changing the core ticketing platform.
Unbabel's Natural Language Processing capability was configured to provide automated ticket translation and multilingual agent workflows, integrating machine translation with human post-editing and quality controls appropriate for customer support use cases. The deployment embedded real-time translation into agent interfaces so responses could be authored or localized inside the Kustomer ticket stream.
The integration with Kustomer is central to the implementation, linking Unbabel translation services directly into ticket ingestion, response composition, and customer-facing message delivery. Operational coverage focused on customer support agents handling inbound tickets in six new languages, with Spanish explicitly highlighted in performance outcomes.
Governance emphasized operationalizing translation within existing agent workflows, including agent enablement and quality monitoring to preserve response quality and CSAT tracking. The case study reports explicit outcomes, including a 14% cost saving and an increase in positive Spanish ticket CSAT from 30% to 59% following the Unbabel deployment.
|
Buyer Intent: Companies Evaluating Unbabel
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||