Tell Us About YourAI Project
Whether you need image annotation, video labeling, OCR, LiDAR, NLP, or custom AI training data, our team can help you define the right annotation workflow.
Free Sample
Evaluate annotation quality before scaling.
NDA Support
Protect confidential project information.
Flexible Scale
From pilot datasets to larger projects.
Request a Consultation
Let's discuss your dataset
Share a few details about your project. You don't need to have every requirement finalized—we can help you work through it.
Why Annotexia
More than just labeling data
Reliable AI starts with reliable training data. Our workflows are designed around quality, consistency, communication, and project-specific requirements.
Quality-Focused Annotation
Clear guidelines, trained annotators, and structured QA help maintain consistent datasets.
Secure Workflows
Confidential project handling with NDA support and controlled access to project data.
Flexible Scaling
Scale annotation capacity according to your dataset size, timeline, and project complexity.
Responsive Communication
Stay informed through clear communication, progress updates, and a dedicated point of contact.
Multiple Output Formats
Support for common annotation formats and custom delivery requirements.
Project-Specific Guidelines
We adapt workflows to your classes, edge cases, instructions, and quality requirements.
Simple Process
From requirements to ready-to-use data
We keep the engagement straightforward. Start with your requirements and we'll help define the rest.
Share Your Requirements
Tell us about your dataset, annotation type, volume, timeline, and expected output.
Review & Sample
We review your requirements and can provide a sample annotation for evaluation.
Define the Workflow
We finalize annotation guidelines, quality checks, delivery format, and project scope.
Annotate & Deliver
Our team works through the dataset with ongoing quality checks and structured delivery.
See our annotation quality first.
Not sure whether we're the right partner? Send us a small sample of your dataset. We'll demonstrate how we approach your annotation requirements.
FAQ
Questions before you get started?
Here are some of the questions teams commonly ask before starting an annotation project.
Can I test your annotation quality before starting a large project?+
Yes. We can provide a free sample annotation so you can evaluate quality, consistency, communication, and workflow before committing to a larger project.
Do you sign NDAs?+
Yes. We can sign an NDA before accessing confidential project information or datasets, subject to the agreed terms.
What types of data can you annotate?+
We support image, video, text, audio, OCR, LiDAR, and custom AI training data workflows.
Which industries do you support?+
Our services can support Computer Vision, Healthcare AI, Sports Analytics, Autonomous Vehicles, Agriculture, Retail, Robotics, Manufacturing, Drone Imagery, and other AI applications.
Can you handle large annotation projects?+
Yes. We can scale project capacity based on dataset volume, complexity, annotation requirements, and delivery timelines.
Which annotation formats do you support?+
Depending on the project, we can work with formats such as COCO, YOLO, Pascal VOC, JSON, XML, CSV, and tool-specific or custom formats.
Let's Talk About Your AI Project
Your next AI dataset starts here.
Tell us what you're building, what data you have, and what you need labeled. We'll help you determine the next step.
Start Your ProjectAI Data Annotation Services
Annotexia provides data annotation and labeling services for organizations developing Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, and other AI applications.
Our services include image annotation, video annotation, text annotation, audio annotation, OCR, LiDAR labeling, object detection, segmentation, classification, tracking, and custom AI training datasets.
Whether you're validating an early AI concept or preparing a larger production dataset, our team can adapt the annotation workflow to your project requirements, quality standards, and delivery format.