List of Language IO Customers
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Since 2010, our global team of researchers has been studying Language IO 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 Language IO 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 Language IO for Natural Language Processing include: Eurostar, a United Kingdom based Transportation organisation with 2100 employees and revenues of $1.66 billion, Shutterstock, a United States based Professional Services organisation with 1715 employees and revenues of $935.0 million, SS&C Intralinks, a United States based Banking and Financial Services organisation with 2000 employees and revenues of $900.0 million and many others.
Contact us if you need a completed and verified list of companies using Language IO, 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 Language IO 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!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Eurostar | Transportation | 2100 | $1.7B | United Kingdom | Language Io | Language IO | Natural Language Processing | 2023 | n/a |
In 2023, Eurostar implemented Language IO to extend multilingual coverage for customer support. Language IO, categorized as Natural Language Processing, was piloted for email and live chat and then fully deployed after the pilot phase.
The travel CRM focused deployment integrated Language IO with Salesforce and used the Chrome extension to provide inline assistance for agents handling customer messages. Functional capabilities implemented included multilingual translation workflows and a fine tuned glossary to preserve brand tone and accuracy within email and live chat channels.
Operational scope concentrated on UK and Western Europe and addressed shortages of French and Dutch speaking agents by enabling existing support teams to handle those languages more effectively. Business functions impacted included customer support, contact center operations, and CRM driven case handling.
Governance work produced the fine tuned glossary and applied it as a control for message consistency during rollout from pilot to full implementation. The deployment produced explicitly stated outcomes of improved response times and decreased incoming calls.
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Shutterstock | Professional Services | 1715 | $935M | United States | Language Io | Language IO | Natural Language Processing | 2023 | n/a |
In 2023, Shutterstock implemented Language IO in its Salesforce environment to automate Knowledge Article translation and Salesforce Case translation for customer support. Shutterstock deployed Language IO, a Natural Language Processing application, to enable multilingual support across 20+ languages and to process more than 2,000 multilingual tickets per month.
The implementation focused on automating Knowledge Article translation and case translation workflows, delivering machine translation and streamlined article publishing into Shutterstock's knowledge base. Language IO handled incoming case content for agents and supplied translated article content to self-service channels, with configuration aligning Salesforce Case fields to translation workflows and automating article lifecycle steps from translation to publication.
The deployment was scoped to CRM and customer support operations, delivered from a US base with global reach, and produced 125+ translated articles. Operational outcomes reported include reduced incoming email and phone support volume, expanded self-service content in multiple languages, and improved agent efficiency as multilingual tickets were routed and processed through the platform.
Rollout activities centralized translation workflows within support and knowledge management, standardizing translation governance and publishing controls to maintain article quality across languages. The Shutterstock Language IO Natural Language Processing implementation therefore aligned translation automation with support workflows to scale multilingual service delivery.
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SS&C Intralinks | Banking and Financial Services | 2000 | $900M | United States | Language Io | Language IO | Natural Language Processing | 2023 | n/a |
In 2023, SS&C Intralinks implemented Language IO, deploying Language IO as a Natural Language Processing solution to scale secure, context-aware translations across its regulated fintech and financial services workflows. The implementation focused on CRM and customer-support channels, positioning SS&C Intralinks Language IO Natural Language Processing to handle multilingual inbound and outbound email and chat communications.
The initial deployment covered seven languages with a planned expansion of language coverage, and configurations emphasized context preservation and domain-specific terminology relevant to financial services. Functional capabilities implemented included automated message translation, context-aware terminology mapping, and secure handling of conversational content to align with compliance and information security requirements.
Integration work embedded Language IO translation services into existing email and chat support tooling, enabling live translation within agent workflows and customer-facing responses without altering core CRM systems. Operational scope concentrated on customer support teams within SS&C Intralinks operating in highly regulated workflows, with the translation layer applied to both inbound inquiry routing and outbound client communications.
Rollout followed a phased approach starting with the seven language set, accompanied by agent enablement and governance controls for approved terminology and security policies, and monitoring for translation quality and regulatory adherence. Outcomes reported after Language IO went live included faster response times, higher agent efficiency, and steady improvements in NPS and client trust.
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