AI Data

Achieve Unmatched Data Accuracy

Our process helps you develop a reliable dataset to train AI through data validation, enhanced labeling guides, automated annotations, and rigorous quality assurance.

Collect: Gather raw data from diverse sources, ensuring a comprehensive and varied dataset for robust AI training.
Curate: Organize and refine data for quality and relevance, transforming raw information into valuable assets for your AI projects.
Annotate: Implement accurate labeling for meaningful context and improved training, enhancing model accuracy and performance.
Fine Tune: Generate high-quality datasets to optimize pre-trained AI models for specific tasks.

Get started with Accelerated Annotation today

AI Training Data Services

Achieve more with your data through our comprehensive services that optimize AI model performance and drive business growth.

Dataset Analysis
Data Labeling Instructions
Data Annotation
Dataset Curation
Labeling Prioritization
Quality Assurance

Dataset Analysis

We start by ensuring the quality and consistency of your labeled data to optimize AI training. Our methods validate data relevance and accuracy for reliable results.

Employ Confident Learning, clustering, and classical dataset analysis to verify data quality.
Confirm that data distribution meets the specific needs of your AI model.

Data Labeling Instructions

We refine your labeling instructions to prevent confusion and maximize model performance. Our team helps establish clear, efficient guidelines.

Develop precise taxonomies and ontologies with expert input.
Define annotation types to eliminate ambiguity and enhance accuracy.

Data Annotation

We accelerate annotation with custom-trained models designed to match your data strategy. Models are retrained as needed to improve results continuously.

Train up to eight models simultaneously to automate annotation processes.
Use teacher-student modeling to maximize automation with unlabeled data.

Learn more about Accelerated Annotation

Dataset Curation

We identify and prioritize high-value data, ensuring your labeling efforts are targeted and effective.

Apply unsupervised learning and vector analysis to surface the most relevant data.
Focus on labeling data that best supports your AI application.

Labeling Prioritization

We prioritize your annotation pipeline, so the most impactful data is labeled first for efficient training.

Leverage Bayesian optimization to direct annotation efforts toward key data.
Continuously update priorities as new data is labeled to ensure we are always labeling the most relevant data.

Quality Assurance

We implement a consensus-driven approach to ensure annotation accuracy and reduce errors, delivering high-quality datasets for AI training.

Use Confident Learning to assess accuracy and flag potential issues.
Minimize ambiguities by comparing annotations against multiple model interpretations of the ground truth.

With a trained team, you get something you simply can't with crowdsourcing—accountability. In retrospect, this has had a huge impact for us, because the biggest limiting factor on the performance of the models is actually the quality of the labels, and how precise the definitions are.

Dr. Michael Bewley

VP, AI & Computer Vision

CloudFactory's Accelerated Annotation offers a compelling platform backed by a reliable workforce. We saw 75% efficiency gains and preserved quality, and having a personal, collaborative relationship with their workforce allowed them to provide us with useful feedback throughout the process, giving us exactly what we were looking for in a partner.

Julian Seidenberg

Head of Artificial Intelligence

Quality data is the cornerstone of impactful AI. Our endeavor to annotate the crucial sightings of whales has paved the way for groundbreaking advancements in marine safety and conservation.

Ross Eaton

Principal Scientist and Director of Marine Systems, Charles River Analytics

Charles-River-Analytics-quote-graphic-01

Great people and a great service offering many options for data labeling needs and more.

Mihai Avram

Senior Software Architect of Innovation, ghSMART

Quality, Speed, and Scalability

Combination of innovative AI technology, comprehensive solutions, and human expertise that delivers the quality, speed, and scale your data and models need.

AI-Powered Automation

Automation that continuously adapts to your AI initiatives and specific use case needs.

Critical Insights

We’ll let you know when something isn’t working so your data and models can achieve maximum accuracy and performance.

Security and Confidentiality

Dedicated to process excellence, data security, and compliance—ISO 9001:2015, ISO 27001, SOC 2, HIPAA, and GDPR

Experience and Service

Deep workforce expertise developed over 8M hours of fine-tuning and perfecting AI data and models.

Get to Market Faster

Our proven operational methodologies across the entire AI lifecycle bring you the best results sooner, with less effort.

Achieve Unmatched Data Accuracy