Our Services
LabelOps delivers enterprise data annotation services that transform complex raw data into high-quality, production-ready datasets for AI and machine learning. Our data annotation services cover images, video, audio, text, 3D sensor data, and synthetic dataset validation, supporting diverse AI training and evaluation requirements. As a secure data labeling company, we combine trained, in-house teams, structured quality assurance, and security-conscious workflows to support sensitive enterprise projects at scale.
Our dedicated teams follow project-specific annotation guidelines and adapt to evolving ontologies, helping reduce data bottlenecks, minimise rework, and maintain consistency. From proof of concept to large-scale production, LabelOps helps enterprises and AI labs prepare reliable multimodal datasets while enabling engineering teams to focus on model development and innovation.
Data Annotation Use Cases Across Industries
Every industry presents unique data challenges. LabelOps delivers data annotation services tailored to the requirements of enterprise AI and machine learning projects. Our industry-specific data annotation services help AI teams develop training and evaluation datasets for applications ranging from medical imaging and industrial inspection to aerial intelligence, agriculture, logistics, and autonomous systems. With trained annotation teams, managed workflows and multi-level quality assurance, we support projects from initial proof of concept to large-scale dataset production.
Why LabelOps ?
LabelOps combines a managed annotation workforce, structured workflows and multi-level quality checks to help enterprises turn complex raw data into consistent, AI-ready datasets. Our enterprise data annotation services support projects across image, video, audio and text annotation, helping AI teams manage growing data requirements without adding unnecessary pressure to internal engineering resources. As a secure data labeling company, we prioritise responsible data handling, project-specific workflows and confidentiality measures, including NDA agreements before project commencement.
Choosing the right data annotation company means finding a partner that can adapt to your data, quality expectations and production timelines. LabelOps supports projects from proof of concept to large-scale delivery, with flexible engagement models, trained annotators and structured quality assurance. With us, you gain a partner focused on data quality, operational flexibility and scalable AI development.
Experience with Expertise
Over these years of experience we have come across wide range of datasets of various usecases
No.1 Data Labelling Company
Labelops is now considered as the No.1 Data Labelling company in the world. Premium quality serivce for the lowest hourly rates is the trait which made us outstanding
Premium Quality Services
We can guarantee 99.99 % accurate annotations by a triple level quality check process .
100% Data Security
We ensure 100 % data security for the data you provide .We sign an NDA before starting every project
Reasonable Service Charges
We provide the data annotation service at the lowest rates in the global market !
Customer Support
We provide a 24x7 outstanding customer care support , which enable our clients to have an easy and fast communication with us despite the time zone differences
Highly Experienced Crew
Our company consists of 125 + expert annotators and 15 + expert project managers with an experience of over 2 years .Our team is highly experienced in all kind of annotation techniques and have come across data sets of various usecases
Data Handling at any Scale
We are capable of preparing training data sets despite of it's volume , we have immense experience in handling very large datasets
Time Promptness
Time promptness is guaranteed in all kind of projects . We use multiple shifts a day to balance the work load .
Free Demos
We provide free live demos before starting a project to understand the service at minimal risk
45 + Training Days
Every newly recruited annotators will be trained well on different type of datasets prior to thier work
Service Flexibility
Project parameters can be customized even after starting a project without any hassle.
How it works
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Talk to Us
Talk with our team about your data and any customization you may require in your training dataset
Free demo & PoC
A free demo will be given and we will compose a Proof of Concept (PoC) to clarify any ambiguities or uncertainties about the project
Launch
A dedicated LabelOps Manager prepares the timeline and set up the project team by selecting expert annotators who have worked on similar projects before
Execute
Microtasks are distributed to a fully managed workforce under the guidance of LabelOps Project Manager
Deliver
Annotated Data is delivered to the client after completing a triple level quality check process
Our Numbers
Our Clients
Choose the plan
Select the plan that suites your requirements the best
Choose an engagement model for your enterprise data annotation services based on your dataset, annotation complexity, project volume, and delivery requirements. Each model is designed to fit how your project runs, so you pay in a way that matches the scope and pace of your data annotation services. Our team will work with you to identify a suitable approach for your project.
PRICE PER HOUR
Flexible, pay-as-you-go data annotation with quality checks, real-time progress tracking, and no monthly commitment.
PRICE PER TASK
Pay per task based on complexity, data type, and volume, with flexible pricing for your annotation requirements.
PRICE PER OBJECT
Task-based pricing for bounding boxes, polygons, segmentation, key points, and 3D LiDAR annotation.
FTE
Dedicated annotators, project management, and quality assurance ensure consistent output, faster scaling, and reliable delivery for long-term projects.
Frequently Asked Questions
LabelOps provides managed annotation services across supported data types, including image, video, audio, and text workflows
The supported data types include images, video, audio, and text. Additional formats depend on the project scope and available capabilities
LabelOps follows the agreed annotation guidelines and quality-control workflow for each project. Specific review methods should be confirmed with the delivery team.
LabelOps should explain its actual data-handling practices, access controls, and confidentiality procedures during project discussions.
LabelOps can discuss project scale, volume, timelines, and team requirements to determine an appropriate delivery plan.
Need Enterprise Data Annotation Services for AI?
Tell us about your dataset, annotation requirements, and project timeline. Our team can discuss your needs and help you explore the next steps.
