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AI Data Services Case Studies That Boosted ROI
Find out how Lionbridge AI is already assisting your competitors.
Staying competitive in today’s markets requires embracing AI, but building and scaling AI systems is complex. AI data collection and AI performance optimization play a critical role in improving model performance, reducing risk, and enabling real-world deployment. Read our customer stories to learn how Lionbridge AI has already partnered with industry leaders to help evaluate, refine, and scale AI systems.
Audio AI Data Services Case Studies
Customer: A multinational tech company
Industry: Technology
Challenge:
- Help the customer expand AI accessibility with wider datasets
- Deliver 2,000 speech and transcription data, each moderated and structured around emotionally varied prompts
- Collect data in 60+ underrepresented languages
Solution:
- Sourced and trained 4,000 native speakers
- Delivered paired datasets in 50+ ultra-rare locales
- Implemented community-based recording, transcription, and style guide creation
Results:
- Helped the customer expand their language model coverage
- Delivered data in many challenging new regions
- Supported more inclusive, globally-relevant AI applications
Customer: A leading enterprise software and telecom company
Industry: Technology
Challenge:
- Help the customer benchmark their AI agent’s performance across domains like banking, retail, airlines, and telecom.
- Collect and score thousands of real-world conversations
- Evaluate AI agent performance in 20+ languages
Solution:
- Partnered with the customer to develop methodology for standardizing quality across AI agents
- Recruited thousands of contributors from around the world, covering 20+ languages
- Obtained thousands of contributor scores for call quality, tone, and resolution
- Integrated customer evaluation rubrics into our process
Results:
- Provided the customer with ground-truth data
- Helped them benchmark AI Agent performance
- Empowered the customer to refine and optimize AI agent performance
Customer: A global automotive OEM
Industry: Automotive
Challenge:
- Deliver millions of data points to help the company train its in-car voice assistant
- Collect and annotate command phrases
- Deliver data from multiple environments
Solution:
- Collected millions of voice command samples
- Delivered diverse data across many markets
- Provided intent labeling, context annotation, and output validation
Results:
- Delivered millions of labeled commands in multiple languages
- Helped the customer achieve better accuracy and responsiveness from its voice assistant
- Empowered the customer to enhance safety and user experience
Customer: A major eLearning and testing brand
Industry: Technology, eLearning
Challenge:
- Collect 10,000 hours of English transcriptions of foreigners passing an English oral exam
- Provide data to train an LLM to assist with foreign language exam verification
- Deliver audio files in a customer platform
Solution:
Lionbridge:
- Sourced and managed 30 transcribers and subject matter experts
- Added the customer’s training and guidelines into our process
- Integrated with the customer’s transcription platform
- Captured candidates’ oral responses during exam sessions and produced detailed transcriptions
- Transcriptions reflected the spoken content and annotated contextual factors, such as background noise or disruptions
Results:
- Helped the customer train its LLM to improve grading consistency, accuracy, and robustness in real-world testing conditions
- Empowered the customer to use their AI-supported system for automatically assessing oral exams
- Met the customer’s needs so thoroughly that they engaged us for 5 rounds of AI data collection and expanded our collection efforts to include special US-based needs
Customer: A global platform company
Industry: Technology
Challenge:
- Scale text-to-speech model development
- Provide 9,5000 hours of diverse audio data
Solution:
- Exceeded the 9,500+ hours of audio across 16 languages
- Recruited vetted native speakers from our curated crowd in-market
- Implemented a structured QA process to ensure quality throughout the workflow
Results:
- Collected 4 million+ validated clips with full QA
- Helped the customer accelerate TTS model training
- Provided a notably high volume of consistent, top-quality data
- Eliminated product development delays
- Delivered final results in a tight three-month timeline
Customer: A major U.S.-based communications technology company for APIs and cloud platforms for voice, messaging, and emergency services.
Industry: Technology
Challenge:
The customer needed:
- Data to train AI call agents to assist with high volumes of calls
- Millions of minutes of audio per month for multiple months
- Guidance on compliance and PII removal
Solution:
- Labeled millions of minutes with dialogue, intent, tone, and outcomes
- Annotated: STT Transcription, Speaker Diarization, Sentiment & Emotion Analysis, Non-verbal Vocalization, Sound Detection, Conversation Type, Utterance-level, Topic Classification, Language Detection, PII ID & Redactions
- Provided annotation expertise
- Partnered with the customer to develop annotation methodology for their development needs
Results:
Empowered the customer to:
- Develop domain-specific AI models tailored to different industry use cases (airlines, banking, health)
- Strengthen their competitive advantage
- Scale their data needs
Customer: A virtual reality company
Industry: Technology
Challenge: Collect 600,000+ audio data points to train AI models for identifying and responding to emotion. Make the submissions instantly accessible.
Solution:
- Recruited 3,500 speakers fluent in multiple languages
- Used our platform to capture recordings of 600,000+ sentences in specific emotions (angry, sad, happy, etc.).
- Delivered bulk export options that were instantly and easily accessible upon submission by each speaker.
Results:
We helped the customer:
- Develop AI models that perform in emotionally supportive ways for the company’s various VR programs
- Engage players of their VR programs more deeply
Customer: A Top Computer Manufacturer
Industry: Technology
Challenge:
The customer needed:
- 100+ diverse, high-quality meeting audio recordings
- Verified transcription accuracy
- Data to improve their multi-language speech-to-text platform
Solution:
- Generated scripts in 20+ languages across multiple industry scenarios and noise levels
- Collected 130+ five-minute audios from home-based contributors, ensuring real-world diversity
- Provided rigorous QA and multimedia post-processing (noise adjustments)
- Conducted an expert review of transcriptions using WER methodology for accuracy
Results:
- Delivered 130+ diverse, high-quality meeting audio recordings and verified transcription accuracy
- Provided a robust, validated dataset for all required languages, scenarios, and quality standards
- Helped the customer optimize their integrated multilingual meeting support software for global markets
Video and Image AI Data Services Case Studies
Customer: A global consumer AI company
Industry: Technology
Challenge:
The customer needed:
- 10,000+ hours of video of natural conversation
- Data annotation of these videos, particularly relevant emotions
- Recruit 10,000 diverse participants
Solution:
Lionbridge:
- Captured 5,000 dyadic video conversations
- Used studio environments to ensure 24Hz high-quality videos
- Moderated and structured conversations around emotionally varied prompts
- Collected from 3 major US cities
- Annotated for emotion selection, persona profiling, and personality scoring
Results:
- Delivered 10,000 video hours of conversations
- Helped the customer research interpersonal dynamics for training its AI personas
- Contributed to creating a groundbreaking audiovisual interaction dataset
- Helped the customer train and evaluate embodied avatars with realistic social behaviors
Customer: An automotive car insurance company
Industry: Automotive
Challenge:
Customer needed to:
- Use 10,000 diverse, high-quality car images with various makes, angles, and damage types
- Reduce model bias with geographically diverse imagery
- Accelerate model training with structured metadata and labeling
Solution:
- Deployed our global contributor network and specialized recruiting team
- Sourced and validated 10,000 car images
- Integrated the customer model’s specifications
Results:
- Delivered an expansive dataset of 10,000 real-world vehicle images
- Ensured images included varied lighting environments and damage scenarios
- Delivered results in a tight 6-week timeframe
- Helped the customer train a claims automation model
Customer: A retail-focused consumer tech client
Industry: Retail, technology
Challenge:
Customer needed:
- A highly diverse, global document image dataset of 90,000 points
- Assistance training a model that performs document processing
Solution:
- Collected 90,000+ images of tickets, coupons, and PDFs
- Recruited contributors in 9 global locales
- Generated metadata via LLM-based tools
- Performed PII redaction
Results:
- Provided rich training data for document parsing and automation
- Enabled the customer to significantly improve model accuracy for real-world scanning, extraction, and automation workflows
- Delivered a 90,000-piece data set within the customer’s timelines
Customer: An automotive OEM
Industry: Automotive
Challenge:
Help the customer:
- Annotate high volume of driving scenes
- Train AI models for semi-autonomous vehicle systems
Solution:
- Provided a high volume of road scenario images and video
- Annotated lane markings, vehicle positions, transitions, and hazards
- Recruited contributors from around the world
Results:
We helped the customer:
- Complete model training for predictive collision avoidance and smart city interaction
- Enhance safety and navigation capabilities for autonomous systems
- Train models to transition between manual and autonomous modes
Customer: An online video service provider
Industry: Technology
Challenge: Customer required large-scale, fast video translations from multiple languages to English.
Solution:
- Found appropriate translators from our vast global network
- Facilitated very fast review of videos, typically 2-3 days with submission
- Facilitated flagging from translators of vulgar, offensive, hateful, racist, and abusive material
- Handled vast volumes of video content
Results:
Our work enabled the customer to:
- Moderate and release content to users faster
- Better understand content and make well-informed decisions about what to censor or flag
- Keep users engaged and enjoying the platform’s content
- Maintain a responsible moderation of content
- Build its reputation as a reliable source of entertaining and inoffensive multilingual video content
Customer: An eLearning solutions provider
Industry: eLearning
Challenge: Review 300+ machine-translated videos. Flag for quality issues in the translation, including:
- Sentence structure
- Spelling/grammar issues
- Overall accuracy
Solution:
- Used our platform to recruit hundreds of multilingual reviewers in many languages
- Captured amended AI-transcribed subtitles where necessary
- Shared flagging for any missing or seriously incorrect transcription
Results:
- Completed the project just 5 days after submission
- Provided the customer with highly accurate video transcriptions
- Helped the customer reach people across languages worldwide
- Assisted the customer in building their brand as trustworthy and engaging, even across many languages
Customer: A major social media company
Industry: Technology
Challenge: Train an LLM with 5,000 hours of video demonstrating emotion.
Solution:
- Recruited a diverse range of 3,500 participants
- Ensured all participants were in the US
- Recorded and captured high-quality video of participants
- Annotated footage with detailed labeling for emotions, relationship perceptions, and personality insights
Results:
We helped the customer:
- Successfully train their LLM to understand and respond to a wide range of emotions
- Develop their reputation as a cutting-edge social technology company
- Delivered 5,000 hours of annotated video in just 1 month
Customer: Leading global technology company
Industry: Technology
Challenge:
- Test the customer’s app in 50+ global languages
- Provide on-premises testing in a single global facility
- Share ongoing testing with a variety of devices/operating systems
Solution:
- Found testers and annotators for all 50+ languages in our Warsaw office
- Set up a testing practice for this specific AI App
- Used a variety of devices and operating systems for testing
- Completed almost 400,000 single evaluations by hundreds of native speakers
- Reviewed 59 new features in 11 products with an average quality score of 4.55 out of 5
Results:
- Enhanced user experience across all supported languages
- Ensured existing features deliver consistently high-quality experience
- Prevented new features from having quality gaps at launch
- Ensured model upgrades were high-quality at launch
- Ensured RAI usage
Text AI Data Services Case Studies
Customer: A major mobile phone company
Industry: Technology
Challenge:
- Collect 170,000 images of handwriting
- Annotate the images across 17 languages
- Deliver within a tight timeline (5 months total)
- Ensure data privacy
Solution:
- Used our AI data collection platform, Aurora AI Studio
- Leveraged our specialized AI data collection recruiting team to find participants
- Annotated all handwriting images
Results:
- Delivered and annotated these 170,000 handwriting images to required standards
- Provided deliverables within just 5 months
- Wowed the customer so they engaged us for another data collection project
Customer: A large smartphone manufacturer
Industry: Technology
Challenge: The smartphone company asked for 200,000+ “real-life,” multilingual conversational data collected to improve their ‘quick-reply’ feature on messaging apps.
Solution:
- Utilized our cutting-edge platform to solicit and capture 200,000+ dialogues
- Each dialogue had up to 20 messages and 5 participants
- Collected conversational data across 8 languages
- Aggregated all data within 4 weeks
Results:
Our 200,000+ conversational data collection empowered the smartphone company to:
- Engage and support a wider, global set of customers
- Continue building its reputation as a convenient, user-friendly device for people worldwide
- Develop its “quick-reply” program at a faster rate to keep up with competitors and customer demand
Customer: A major internet retailer
Industry: Retail, Tech
Challenge: Review 1.8 million multilingual, multiple-choice prompt responses. Choose the best ones. Then rate them all based on:
- Accuracy
- Formatting
- Grammar
- Linguistics
Solution:
- Recruited 5,000+ reviewers fluent in 30+ languages
- Collected ratings and responses for customer’s LLM
Results:
We empowered this customer to:
- Train their AI model to better respond to customer queries
- Handle queries across 30+ languages
- Better serve and engage people worldwide and maintain its strong brand reputation
Customer: Hyperscale technology company
Industry: Technology
Challenge: Assess and enhance the customer’s LLM as a translator in 50 languages.
Solution:
- Provided a team of prompt engineers and linguists in 50 languages
- Utilized Python script writers for efficient scripting
- Assessed translation quality post-prompt engineering
- Ensured continuous, prompt improvement for optimal results
- Recruited remote-based teams from a diverse global community
Results:
We helped the customer:
- Enhance their LLM so it yields higher ROI
- Achieve superior translation fluency and accuracy across 50 languages
- Connect with more global customers
Customer: Client Healthcare Delivery Tech Startup
Industry: Healthcare, Technology
Challenge: Validate translations of a fine-tuned LLM to ensure accuracy and safety of healthcare terminology.
Solution:
- Established a VDI environment to protect Patient Health Information (PHI)
- Trained 100 linguists on managing PHI
- Reviewed LLM output for accuracy to ensure patient safety of translated healthcare material
- Assembled a team of linguists (in 16 languages), project managers, and quality experts
- Delivered data visualization of results to improve model accuracy
Results:
- Developed an output validation program for the LLM’s linguistic performance
- Provided thousands of points of data for model improvement
- Empowered non-native English-speaking patients in US-based hospitals to communicate better with their healthcare teams
Customer: Global Tech Giant
Industry: Technology, Retail
Challenge: Review and summarize 6.5 million customer reviews monthly in 30+ languages to understand overall customer feedback.
Solution:
- Provided human validation on statistically significant subset in-language
- Achieved a 90% accuracy rate in categorization through LLM prompt
- Customized LLM Prompt Engineering to support ecommerce feedback
- Reviewed and translated high volumes of customer reviews -- with limited turnaround time for analysis
- Sourced global talent with in-country validators
Results:
We helped the customer:
- Harness the power of their LLM to categorize 6.5 million customer reviews as positive, negative, neutral
- Understand their global customer feedback
- Engage with their non-native English-speaking customer bases
- Adapt and enhance products based on market sentiment
Customer: Global tech giant in consumer electronics, appliances, and industrial equipment
Industry: Tech, Retail
Challenge:
- Validate 200,000+ sentences in 7 language pairs
- Create and translate 50,000 sentences
- Summarize 10,000+ sentences
- Batch changes to tone, formality, and format of 10,000+ sentences
- Meet the strict 1.5-month deadline
Solution:
- Assembled 50+ linguists per language
- Collected wake-up word recording from 3,000 speakers in Korean, English, and Spanish.
- Created 1 million+ synthetic corpora in 10 languages for various functions
- Created 100,000 synthetic call conversation data in English
- Verified synthesized health data
- Created and verified 350,000 machine-translated corpora
- Obtained 60,000 corpora sets recorded in multiple languages
- Delivered all required data within 1.5 months
Results:
Helped the customer:
- Develop an AI model that translates and interprets in real-time in 13 languages
- Offer multilingual AI-driven keyboard and note-taking features
- Meet their tight 1.5-month deadline with all deliverables
AI Data Solutions FAQs
Connect with Lionbridge’s team of AI data services experts to set a meeting. We’ll discuss your overall company goals, your LLM, and how we can help you achieve your goals with AI evaluation, custom data set creation, and more.
We provide a comprehensive suite of AI training services customized to your specific company goals. Depending on the project, we might implement AI data labeling, data collection, or AI data annotation. We structure your solution around the type of data you need to collect (text, audio, visual, video) and the level of task your LLM needs to complete.
AI data services help your LLM, likely one of your largest business expenses, run optimally. Whatever you choose to apply it to (customer service, marketing, etc.) will be superpowered by a thoroughly evaluated, well-trained LLM with custom data set creation.
AI can assist companies across all verticals. Even companies with strict regulations, such as Life Sciences or Finance, are finding ways to use LLMs to improve business operations, cut costs, and boost ROI.
The Lionbridge AI approach to AI data services focuses on customizing solutions to each customer’s company goals. We base every solution around the data modality (text, audio, video, and visual) and the level of task the model needs to perform.
