we provide
Data Annotation Services
Image Annotation
From bounding boxes to segmentation masks, we label images for object detection, classification, and visual understanding. Includes geospatial imagery and AR content.
Video Annotation
We track movement frame-by-frame for action recognition, object tracking, and event labeling. Supports multi-object scenes and 3D data such as LiDAR overlays.
Audio Annotation
We transcribe speech, identify sounds, and segment audio for training voice AI. Includes support for multilingual data, sound labeling, and speaker diarization.
3D LiDAR
We label point clouds for object detection, tracking, and segmentation. Our team supports autonomous driving, robotics, and geospatial use cases with precise 3D annotations and sensor fusion.
Text & Documents
We label entities, intent, sentiment, and structure across documents, chats, and other unstructured text. Supports named entity recognition (NER), classification, redaction, and more.
Certification Program
Gain the skills to accurately annotate data and earn a certification, enhancing your expertise for AI projects.
"The training programs are top-notch"
Chosen by global clients who value quality and care
Let's Talk
Schedule a call with Hannah via Calendly for an in-depth discussion or consultation. Pick a time that works best for you, and we’ll be ready to connect virtually.
In this 30-minute session, we’ll go over your project requirements, discuss your goals, and offer tailored guidance on the next steps.
The Rise of Synthetic Data in AI
Synthetic data is artificially generated but realistic enough to train AI models. It can speed up training, protect privacy, and create rare scenarios, though it can also be too perfect or miss important real-world details.
AI Content Moderation
The internet moves too fast for human-only moderation — and AI systems trained on human-labeled data now play a key role in detecting harmful content. But even with the best annotations, AI can miss context, nuance, and intent.
Turning Fields into Intelligent Systems
Smart farming is turning fields into intelligent systems with AI. It helps grow more and waste less. Behind it all is the quiet force of data annotation.
Audio Data Annotation for AI Baby Monitor Device
DeeLab labeled audio data for a baby product retailer, enabling the development of an AI-powered baby monitor. This ensured accurate sound detection, a quicker launch, and more reliable performance for parents.
The Lifecycle of AI Data
The lifecycle of AI data is a human-led journey from messy, unstructured input to refined, deployment-ready intelligence. Every step, from annotation to quality control, shapes how machines learn, adapt, and serve the real world.
Waste Segregation in the Age of AI
Waste Segregation in the Age of AI is taking center stage as urban growth and evolving consumption habits intensify the challenges of waste management. Traditional manual methods can no longer keep up, while AI offers a faster, more efficient solution if trained effectively.
