Data Annotation

Our ISO 27001 certification demonstrates that our organization has invested in our people, processes, and technology (tools and systems) to protect our data and provides an independent, expert assessment of whether our data is sufficiently protected. Annotation and Tagging is a critical stage to ensure that data is properly labeled so machine algorithms can actually learn.

Annotation types include:

We support a broad range of video and image tagging from humans, objects, documents, and actions like gestures and expressions. Our teams are skilled in an array of tagging techniques such as bounding boxes, point labels, semantic segmentation, and classification.

• Object Detection: Identify and label objects within images for applications like autonomous driving and security systems
• Facial Recognition: Annotate facial features to improve identification and verification processes
• Image Classification: Label and categorize images for valuable use cases such as organizing an e-commerce product catalog and recommending content in a social media algorithm

• Object Tracking: Annotate objects across multiple frames to enable dynamic scene analysis
• Action Recognition: Label actions and activities within videos for sports analytics, security, and more
• Event Detection: Identify and tag significant events in video footage for real-time applications

• Sentiment Annotation: Identify and analyze emotions, attitudes, and opinions in text to generate actionable business intelligence, ensure content appropriateness, and enhance user safety across platforms

• Classify user intent with precision to enable machines to interpret queries more effectively, optimize response routing, and improve overall interaction quality

• Annotate key concepts within titles, queries, and content to boost algorithmic understanding, drive contextual relevance, and enhance search accuracy

• Extract and label essential entities, such as names, dates, and locations, from large datasets using high-quality manual annotation to power robust machine learning models

• Caption Generation
  Deliver accurate, context-aware captions by aligning video, audio, and textual data, ensuring high-quality, accessible content across platforms like television, streaming, and social media
• Gesture Recognition
  Precisely label human gestures and facial expressions to train models that reliably interpret non-verbal cues, supporting high-fidelity virtual and augmented reality experiences
• Multimodal Search
  Power advanced search capabilities by integrating image, text, and voice inputs, enabling more relevant results, superior product discovery, and a seamless user experience

• Leverage multi-sensor data fusion to generate precise, scalable annotations that power intelligent systems across mobility, automation, and immersive technologies
• Autonomous Vehicles: Deliver safety-critical perception data through high-accuracy annotations across complex driving environments
• Object Detection & 3D Localization: Identify and localize vehicles, pedestrians, and traffic signs in real-world conditions
• Lane & Drivable Area Segmentation: Annotate Road structure and navigable paths for real-time decision-making
• Sensor Fusion Expertise: LiDAR, camera, radar, GPS/IMU

Enable intelligent automation with 3D annotations tailored for dynamic industrial environments:

• Object Pose Estimation & Tracking: Precisely label orientation and motion of tools and components
• Workspace Segmentation: Distinguish between work zones, parts, and human operators
• Sensor Fusion Expertise: Depth sensors, RGB-D, LiDAR

Support immersive experience development with highly structured spatial data:

• 3D Environment Mapping & Surface Labeling: Annotate architectural layouts and interactive surfaces
• Hand & Body Tracking: Capture detailed human motion for natural interaction models
• Sensor Fusion Expertise: Stereo vision, IR depth, IMU

Strengthen situational awareness with rich spatial data for real-time and forensic applications:

• 3D Intrusion Detection: Identify unauthorized presence in secure zones
• Behavioral Analysis & Crowd Monitoring: Annotate crowd density, movement patterns, and anomalies 
• Sensor Fusion Expertise: LiDAR, thermal, RGB, radar

Unlock behavioral insights in physical retail spaces with spatially aware annotation workflows:

• Customer Movement Tracking in 3D: Understand flow patterns and dwell times
• Product Interaction & Shelf Monitoring: Detect engagement and stock visibility
• Sensor Fusion Expertise: RGB-D, overhead LiDAR

• Speech Transcription
  Accurately convert spoken language into text across diverse recording environments, including multi-speaker conversations and background noise, to support analytics, accessibility, and machine learning training.
• Language and Dialect Identification
  Annotate audio data to detect and distinguish between languages and regional dialects, enabling nuanced linguistic analysis and improving the performance of multilingual AI systems.
• Speech Labeling
  Enrich audio datasets by tagging speaker attributes such as demographics, emotional tone, and discussion topics to support the development of adaptive, context-aware voice applications.