• RLHF
• LLMs
• Data curation
• Coding
• Quality evaluation
• Open-ended descriptions
• Image & Video Animations

Side-by-side comparison with edits, reinforcement learning with human feedback, open-ended descriptions for images/video/anime, prompt-response creation, synthetic data generation, preference data collection

• Lidar point clouds
• Video entity tagging
• Video object tracking
• 3D Semantic Segmentation

Variety of map labeling use cases on aerial and satellite imagery, including polylines (lane lines, stop lines) and polygons (buffer zones, pedestrian crossings, parking spots, bus stops, restricted areas, intersections, and traffic signals)

Multi-LiDARs, sensor fusion, cuboids, metadata, panoptic segmentation, bounding box, polygons, polylines, keypoints, instance segmentation, class segmentation, and more

Search result quality evaluation ensures that users find the most relevant, accurate, and high-converting products. It assesses ranking algorithms, click-through rates, user behavior, and conversion metrics to optimize product visibility and customer satisfaction.

Product categorization ensures accurate grouping of items for better searchability, navigation, and recommendations. It enhances user experience, improves discoverability, and boosts conversions.

Receipt digitization converts physical receipts into structured digital data using OCR and AI. It enables automated expense tracking, fraud detection, and seamless financial reporting for businesses and consumers.

Image classification uses AI to categorize product images based on visual attributes. It enhances search accuracy, automates tagging, improves recommendations, and streamlines inventory management.

Document digitization & transcription convert physical or audio-based documents into structured digital text using OCR and AI. This enhances searchability, automation, compliance, and data accessibility across industries.

Low rating sentiment tagging in customer support uses AI to analyze negative feedback, categorize issues, and prioritize responses. It helps improve service quality, identify pain points, and enhance customer satisfaction.

Rich media transcription & feedback convert audio and video content into structured text using AI. It enables accurate analysis, enhances accessibility, and provides actionable insights for content optimization and user engagement.

Translation & transcription convert spoken or written content into multiple languages using AI and human review. It enhances accessibility, global reach, and user engagement across diverse industries and platforms.

Media classification uses AI to categorize images, videos, and audio based on content, context, and metadata. It enhances searchability, content moderation, personalization, and compliance in digital platforms.

Fraud detection uses AI and data analytics to identify suspicious activities, anomalies, and patterns in transactions. It enhances security, reduces financial losses, and improves trust in e-commerce and financial systems.

Content analysis uses AI and NLP to evaluate text, images, and videos for sentiment, relevance, and quality. It enhances content moderation, personalization, SEO, and decision-making across digital platforms.

Lead enrichment enhances customer data by appending relevant insights using AI and third-party sources. It improves targeting, personalization, and conversion rates in sales and marketing efforts.

Content tagging & recommendations use AI to classify content based on metadata, keywords, and user behavior. It enhances discoverability, personalization, and engagement across digital platforms.

Multi-hierarchical text categorization, text Q and A, intent tagging, language model quality evaluation, partial text labeling, content quality, and attribute extraction/named entity extraction

Video categorization, video event/activity recognition, video content quality, search quality evaluation, object detection and tracking, cuboids, bounding box, keypoints, polylines, polygons, semantic segmentation, instance segmentation, ads relevance, and audio transcription across 100+ languages

Multi-hierarchical image categorization, image Q and A, image to text, text to image, ML model quality evaluation, content quality, image contextual labeling, object classification, bounding boxes, keypoints, polylines, polygons, and instance and semantic segmentation

Text, image, video, and audio search quality evaluation; relevance ranking; and search <> result matching and query pair evaluation across 100+ languages

3D cuboids, human keypoints, semantic and class segmentation, object tracking, and audio transcription

Audio transcription, intent tagging, and sentiment analysis across 100+ languages

Catalog attribute enrichment and categorization, product matching and deduplication, data enrichment, and content quality evaluation across 100+ languages