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Build better AI with high-quality training datasets. We provide human-in-the-loop annotation and rigorous quality control for computer vision, NLP, and document AI.
Accelerate machine learning development with accurate, scalable, and QA-verified data annotation services tailored to your exact model requirements.
In modern machine learning, your model architecture is only half the battle. The true differentiator is the quality, diversity, and accuracy of the dataset it trains on. Garbage in, garbage out.
We provide professional, managed data annotation services. Whether you need complex polygon masks for computer vision or highly nuanced named entity recognition for an LLM, our human-in-the-loop workflows ensure your AI receives the exact ground-truth data it needs to succeed.
Machine learning models fail in production because they were trained on inaccurate, noisy, or poorly labeled datasets.
Data scientists spend 80% of their time cleaning and labeling data instead of actually building and tuning models.
Without strict guidelines and QA, multiple annotators create conflicting labels, confusing the AI model during training.
Internal teams cannot handle the massive volume of data required to train modern deep learning and computer vision models.
High-precision training data labeling, bounding box annotation, semantic segmentation, and text classification for computer vision and NLP models.
Machine learning algorithms are only as good as their training data. We provide clean, human-in-the-loop data labeling services at scale.
Bounding boxes, polygon segmentation, keypoint estimation, and 3D cuboid annotations for visual AI models.
Named entity recognition (NER), intent labeling, sentiment categorization, and text summary validation.
Phonetic tagging, noise categorization, multi-speaker diarization, and timestamped audio transcriptions.
Reinforcement Learning from Human Feedback (RLHF) to score, rank, and refine generative model outputs.
Get custom annotated datasets prepared by certified domain experts to boost model precision and eliminate training bias.
We accelerate workflows using AI pre-labeling, but rely on expert human annotators to review, correct, and validate edge cases to guarantee maximum dataset accuracy.
We protect your proprietary data and PII with enterprise-grade security protocols throughout the entire annotation lifecycle.
Pixel-perfect training data for object detection, visual inspection, and autonomous systems.
High-quality human feedback, entity tagging, and conversation structuring for conversational AI.
Accurate transcription and classification for voice assistants and acoustic event detection.
Structured extraction from invoices, contracts, and forms to train intelligent document processing models.
We provide the specialized workforce, strict QA protocols, and secure infrastructure required to build enterprise-grade training datasets.
An AV company needed millions of frames annotated with pixel-perfect accuracy for pedestrians, vehicles, and traffic signs.
Deployed a dedicated team of 200 annotators using specialized tooling to label 2D images and 3D point clouds with 99.5% accuracy.
Delivered 5M+ annotated frames in 6 months, improving the client's object detection model confidence by 18%.
A healthtech startup needed to extract patient symptoms, medications, and diagnoses from unstructured clinical notes.
Utilized annotators with medical backgrounds to highlight and link complex named entities (NER) according to strict HIPAA guidelines.
Produced a gold-standard training dataset that enabled their NLP model to achieve 94% F1 score on clinical extraction.
Explore some of our most impactful digital transformations.
"The quality of the training data determines the quality of the AI. CodeCyper's annotation team delivered incredibly precise segmentation masks that instantly boosted our model's accuracy."
"We tried crowd-sourcing our NLP labeling, but the inconsistency ruined our model. Switching to CodeCyper's managed, QA-driven annotation process saved our project."
Prepare high-quality training datasets that help your AI and machine learning models learn faster and perform flawlessly in production.