From idea to execution:
AIML and GenAI solutions that deliver
Our AIML and GenAI services drive innovation at every stage, from data gathering and annotation to rigorous model validation.
Leading Fortune 100 companies
trust our AIML services
to enhance experiences,
improve efficiency, and
drive innovation and growth.
With our expert AIML & GenAI solutions, products get to market faster. Algorithms run smoother with less bias. Innovation thrives effortlessly.
Fortune 100 companies trust us to provide the top-tier data, advanced
technology, and specialized expertise to boost, speed up and refine their AIML and GenAI projects.
Our services are built for every stage of your AIML & GenAI journey
Our services cater to various data mediums including voice, text, video, audio, PDFs. Additionally, we provide solutions across a wide array of industries and
business domains, spanning product development, marketing, advertising & e-commerce, trust & safety, sales, service, and data management. Our expertise
extends to sectors such as big tech, fintech, e-commerce, gaming, entertainment, and beyond.
Data Collection
High quality, global data
From crowd data sourcing to in-person field data collection, our commitment to capturing real-world scenarios with precision ensures the generation of large-scale, organic data that's comprehensive, unbiased, and globally representative.
Sample use cases
- Making AR/VR product development more immersive and realistic through real world data
- Enhancing AIML model accuracy through organic data training
- Personalizing pricing, ads and customer journeys by enriching customer data
Annotation and Labeling
Real time quality management
Utilizing cutting-edge methods like computer vision and NLP, we annotate diverse data types meticulously. Our robust quality management guarantees desired outcomes, with real-time monitoring ensuring data integrity.
Sample use cases
- Autonomous Vehicle Safety: Annotating images of traffic signs, pedestrians, and obstacles enables safe navigation for self-driving cars.
- Finding and filtering out fake news with textual data to improve reliability
- Driving up search relevance through product image categorization
Data Editing
Usability and compliance
Streamlined data editing and quality assurance, including soft matting, enhancing and blurring imagery, text and videos for compliance, privacy and effective e-commerce listings.
Sample use cases
- Anonymizing and edit sensitive information to comply with data privacy regulations
- Avoiding infringement through blurring trademarks in ad images
- Removing PII/sensitive info to protect users
- Blurring violence/extremism for news platforms
Data Quality Assurance
Accuracy and standardization
Our wrangling, standardization and QA creates clean, structured data that’s globally relevant and accurate. Machine learning algorithms are trained more effectively. AI/ML models are more usable, and effective..
Sample use cases
- Improving NLP task performance through better textual data
- Delivering more accurate, helpful chatbot responses with higher model, rater quality
- Improved marketing data for better, personalized targeting of users and customers
Model Validation
Improved GenAI, AIML effectiveness
We raise the bar on rigorous testing, output verification and real-time validation through human-assisted validation at critical stages. Enhance model performance. Address edge cases. Significantly improve accuracy and effectiveness. Every time.
Sample use cases
- Enhancing payment security by validating fraudulent transaction detection
- Increasing global usability of genAI through validating machine learning models for fairness across demographic groups
- Optimizing dynamic pricing through validating market trend models
Content Services
Global reach and relevance
Our understanding of cultural nuances and linguistic diversity means that our models operate seamlessly across regions and languages. Cultural sensitivity. Contextualrelevance. On a global scale.
Sample use cases
- Improving product listings, ads and checkout processes through localization
- Expanding global customer support through multilingual chatbots and services
- Translation and localization of websites, help centers and marketing collateral
From better compliance to safer driving, successful AR/VR product and GenAI launches, here’s how our clients are making it happen with Firstsource.
Data Rejection: 5%
Safety and Legal Risk PII
Compliance: 100%
How we worked with a global,
personal computing technology
company to make better
annotation and training happen:
- One central PGM built, with additional global locations to guide recruiting, quality checks, annotation, labeling and reporting
- Eye-, hand- and voice-models trained across 100+ ethnicities, multiple generations and a 50/50 gender split
Rejection Rate: 0.5%
100+ Domain & Language SMEs
Here’s how we worked with the
world’s leading search engine to
make educational GenAI models
happen:
- Custom STEM content built across physics, chemistry, math, biology & english (poems & short storiesupcoming) in 4 Indian languages and 6 Asian & European languages
- 100K + unique dataset created in 16 weeks
Gen AI content and grading from question review to effective feedback
Here’s how we worked with an
online STEM and education
content creatorto makeAI
powered education happen:
- Question, reference and solution model review
- Comparison of manual vs GenAI workflows, from gathering responses to criteria establishment, side-by-side comparison, strengths and weaknesses, and ranking and feedback synthesis
99% productivity.
> 99% accuracy
Fastertime to market.
Here’s how we worked a global
map data providerto make safer
driving happen:
- Video annotation tracked matching objects across multiple video clips of dashboard cams to identify occluded / obstructed objects
- Rapid annotation improved algorithm output and accuracy, and accelerated our partner’s go to market strategy
35% more productivity
Faster initial prototyping and algorithm efficiency.
Here’s how we worked with the
world’s largest consulting
organization to make unbiased
annotation happen:
- 6M+ images processed to track eye blinking status, using 68 facial points across skin tones
- Avoiding bias through annotation of facial features increased productivity, helped launch an initial prototype and improved algorithm accuracy
96% accuracy.
99% productivity
How we worked with a US based
smart waste solution company to
make automatic segmentation
happen:
- Datasets for computer vision models identified targeted materials,rendered polygons and marked the outline of a material using classes and RGB color values
- Targeted materials machines automatically assigned metadata into digital images, with 98% accuracy
71.6M+ videos labelled.
96% accuracy
How we worked with the world’s leading search engine to make accurate video labeling happen:
- User generated videos viewed and
categorized based on topic, language, emotions, format and attributes - Potential content creators identified and enrolled, with 98% productivity
- Creators onboarded, videos validated for authenticity
- Exponential increase in views, likes and followers
100% accurate catalogue management
How we worked with a leading online food and grocery store to make fast QC happen:
- Product details such as brand, image, weight and pack type validated
- Products highlighted with soft matting, images cropped and catalogues managed with high accuracy
- Brand history, information and interesting facts captured and compared with competitors
- 741K+ images cropped, 562K+ images renamed, 48K product images QC’ed
200K+ content pieces annotated and moderated for extremism.
99%+ accuracy
How we made data moderation happen across 5 channels and 12 languages:
- Regional context on all platforms developed through agents with native language skills
- Social media platform real-time quality monitoring through bespoke behavior tracking, reporting and dashboards
- 200K+ keywords, signs and symbols tracked with 99%+ quality for search and validation
98%+ accuracy in repairing anomalies of underground sewer pipes
How we worked with a leading data and enterprise storage solutions company to make accurate annotations happen:
- 763K+ images inspected for anomalies, and annotated using bounding boxes and polygonal annotations
- Annotations classified under domains like cracks, fractures and roots
- Machine learning models built to help teams repair anomalies of underground sewer pipes with 98%+ accuracy
3D semantic segmentation of 10K+ products.
99% accuracy
How we made an AI based authentication solutions pioneer happen:
- 31 different portions of product segmented according to 3D scanned models of products
- Color variants of the same product created to develop a dataset for a segmentation ML algorithm
- 10k+ products segmented with 99% accuracy
QC of 50K assets.
100% accuracy
How we worked with a large tech company to make quality checks happen in 23+ countries:
- 6500+ participants recruited across 1000+ ethnicities
- Worked with SMEs for data collection program management, with 100% quality
- Data edited and blurred across live photos, Facetime selfies, signs, symbols, storefront images and mac screen recordings
100% SLA targets met.
35% reduction in time to collect
How we worked with a leading search engine to make faster data collection happen:
- Deployed staff in short bursts in 15 countries in 24 segments for maximum POI coverage
- Workflows designed for each country to collect relevant attributes
- Leading search engine met 100% SLA targets, with 35% reduction in time to collect
>50% improvement in gross merchandise sale.
2X faster merchant onboarding
How we worked with a leading e-commerce company to make onboarding 2X faster:
- Leveraged field agents to collect 25+ unique seller attributes in 20 cities
- Eliminated redundancies with a new merchant onboarding process, scaled with a hub and spoke model and proactive account management
- 2X faster merchant onboarding and a >50% improvement in gross merchandise
1m+ pieces of content moderated.
98% quality monitoring accuracy
How we worked with Europe’s leading
political - terror watch & governing body to make accurate feed monitoring happen:
- Trained AI/ML models with a 20K+ keyword list created to identify harmful content across 12+ languages with 12+ parameters and 7+ custom moderation processes
- Uncovered 7k+ emerging threats and 30k high risk profiles with 98% accuracy
100% brand safety.
<2% data rejection rate
How we worked with the worlds largest personal computing technology company to make brand safety happen:
- Trained new web search function on identifying and segmenting NSFW content
- Automated data collection, with 100% review + annotation of NSFW images & videos
- 40% reduction in ML development time, with 3x annotated efficiency
Let’s get started
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Check out job applications and for employee reference checks.
Let’s get started
Share business inquiries below. Looking for something else?
Check out job applications and for employee reference checks.
