Data Labeling Services
Deliver Real Business Value with High-Quality Training Data for Reliable AI Model Inference
Accelerate AI Innovation with Scalable, High-Quality Data Labeling Services
Businesses across industries and verticals are implementing AI and ML models to gain agility, efficiency, and scalability. However, creating high-quality training datasets to train ML models is the biggest bottleneck for many companies. The non-availability of project-specific data, the cost of skilled data labelers, and the complexity and time required to scale resources up and down hamper their efforts. Moreover, high-quality labeled datasets demand a fine-tuning between human intelligence and advanced tools, a rarity in the existing industry. This calls for Damco’s data labeling services to ensure high-quality, AI-ready data.
Our professionals add well-structured and detailed descriptions, enabling ML algorithms to distinguish between different classes or categories. As a top data labeling company, we leverage industry best practices for the tagging process, while ensuring data security and privacy. We offer accurate, secure, and scalable data tagging services to deliver the highest quality training datasets with reduced overheads for businesses to accelerate their AI implementation project.
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Leverage Damco’s Data Labeling Services
We offer scalable and high-quality data labeling services that help businesses get the desired outcomes from their data and AI/ML solutions.
Data Labeling for Computer Vision
Label visual data like images and videos to help computer vision models categorize images and detect and identify different objects.
Data Labeling for Natural Language Processors
Label different parts of speech and text to help NLP models understand and interpret the language, even when the words are different.
Audio Processing for Speech Recognition
Transcribe audio into text and use different labels to tag the text for AI model training and improvement.
Who Should Opt for Data Labeling Services?
As a leading data labeling company, we add accurate and detailed tags to prepare high-quality training datasets for your AI/ML model and improve its reliability.
Autonomous Vehicles
Agriculture
Retail & Ecommerce
Wildlife
Security and Surveillance
Healthcare
Finance & Banking
Insurance
Manufacturing & Logistics
Robotics
Benefits of Data Labeling Services
Precise Predictions
Get the ground truth for your machine learning models to learn, improve, and deliver the expected output with highly accurate and detailed labels.
Improved Data Usability
Make informed business decisions through properly categorized and labeled data, which facilitates in-depth data processing and analysis.
Frictionless Scalability
Respond promptly to your AI/ML model’s evolving data requirements and deliver high-impact business outcomes in a focused way.
Cost Optimization
Leverage a service that takes care of end-to-end data tagging pipeline at optimal costs, without compromising quality of the outcomes.
Why Choose Damco for Data Labeling Services?
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High Quality and Reliability
Get accurate, business-relevant, and regulatory-compliant labeled datasets to train your AI/ML models better and faster.
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Faster Turnaround Time
We leverage combination of manual and AI data labeling tools to deliver accurately labeled datasets within the stipulated time.
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Cost-Effective Pricing
Having the right blend of skills, experience, and expertise, we offer high–quality and accurate data tagging services at competitive rates.
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Assured Data Security
Among the leading list of data annotation companies, our professionals at Damco maintain audit trails and quality assurance and confidentiality for labeled data.
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Scalable Operations
We have a readily-available, highly-scaled, and tech-oriented talent pool to address any increase in demand to annotate data of any volume and complexity.
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Global Presence
Headquartered in Plainsboro, New Jersey, we are supported by multiple offshore offices located in the USA, UK, Luxembourg, UAE, and India.
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24×7 Accessibility
We offer round-the-clock support to resolve client queries in real-time and inform them about the project’s status, irrespective of time zone differences.
Frequently Asked Questions
How do you ensure accuracy in the data labeling for AI process?
We have a pool of skilled and experienced labelers who follow established guidelines and quality control measures to ensure accuracy in data labeling for AI. After understanding the future use-case of client’s AI/ML model, we develop detailed instructions for our team to ensure consistent labeling. We implement quality control measures like cross-validation and automated error detection to identify inconsistencies. Additionally, regular feedback, random audits, and continuous refinement of guidelines and tools ensures that the labeling process evolves alongside model requirements. This guarantees high accuracy and enhanced model performance in AI applications.
What tools and technologies do you use for data tagging?
We use a variety of advanced data tagging tools, manual methods, and third-party software and platforms to prepare training datasets for our client’s AI/ML models. We work closely with our clients to understand their vision and purpose of the machine learning model. Accordingly, we identify the right set of tools and techniques for each project. Our professionals leverage the industry’s best data labeling practices and deliver high-quality, accurate outcomes while lowering the cost to clients.
What is the turnaround time of your data labeling services?
The turnaround time for our data labeling service varies based on project complexity, data volume, and specific requirements. Usually, smaller projects are completed within days, while larger or highly specialized projects may require weeks. We prioritize accuracy and efficiency, leveraging experienced annotators and automated tools to maintain high quality within the agreed timeline. Each project’s timeline is outlined transparently with clients to ensure timely delivery.
Is my data safe and confidential when working with data labeling companies like Damco?
Yes, your data remains safe and confidential when working with a reliable data labeling company. We implement strict security protocols, including data encryption, secure access controls, and compliance with industry standards such as GDPR and SOC 2. Confidentiality agreements are signed with employees to prevent unauthorized data sharing. Additionally, data access is restricted on a need-to-know basis, ensuring only essential personnel handle sensitive information. These measures collectively safeguard your data’s privacy and integrity throughout the labeling process.
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