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.
From better compliance to safer driving, successful AR/VR product and GenAI launches, here’s how our clients are making it happen with Firstsource.
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
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
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
Here’s how we worked a global map data provider to 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
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
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
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
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
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
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
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
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
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
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
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
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