Data Processing Services

Let’s corporate to get high-quality AI data processing projects!

Trusted by Industry Leaders Worldwide

Our Data Processing Services

Maximize AI and machine learning model performance and reliability by using our offshore data processing services.

Data Collection

Gather diverse and relevant data from various sources to meet your specific project needs and support optimal machine learning model development.

Data Annotation

Label various data types (images, videos, text, audio) to train AI and machine learning models to recognize patterns and make accurate predictions. Our high-quality annotated datasets improve AI accuracy by up to 99%, setting new standards in the industry.

Data Validation

Identify and correct annotation errors through rigorous QA processes, enabling your machine learning models to perform more effectively at scale.

Data Types We Cover

LTS GDS processes a wide range of data types to deliver reliable results for businesses.

Image

Video

Text

Audio

Code

Time Series

Multimodal

 Photographs of people, objects, animals; medical images (e.g., X-rays, MRIs); satellite imagery.

A sequence of images with motion, typically captured by cameras or sensors (CCTV footage, camera recordings, movie clips). Videos are often divided into frames or scenes.

Written or typed content of different documents that includes characters, numbers, and symbols in multiple languages.

Written or typed content of different documents that includes characters, numbers, and symbols in multiple languages.

Snippets or full bodies of programming code across various programming languages.

Sequential data points collected over time, used for forecasting or pattern detection in different domains.

Multimodal data is data captured from multiple data types such as text, images, audio, or video, used together to represent the same event, object, or context.

Image
Video
Text
Audio
Code
Time Series
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Multimodal

Photographs of people, objects, animals; medical images (e.g., X-rays, MRIs); satellite imagery.

A sequence of images with motion, typically captured by cameras or sensors (CCTV footage, camera recordings, movie clips). Videos are often divided into frames or scenes.

text annotation

Written or typed content of different documents that includes characters, numbers, and symbols in multiple languages.

Sound data from diverse demographics that may include speech, music, or ambient noise.

Snippets or full bodies of programming code across various programming languages

Sequential data points collected over time, used for forecasting or pattern detection in different domains.

Multimodal data is data captured from multiple data types such as text, images, audio, or video, used together to represent the same event, object, or context.

Our Data Procesing Services Workflow

Streamline your data journey with our seamless processing workflow designed for accuracy, efficiency, and actionable insights.

Requirement
Pilot & Negotiation
Team Setup
Initiation
Execution
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Acceptance

Our project managers will conduct a detailed survey of business specific needs and objectives, working closely with stakeholders to capture all essential requirements. They will also define the project scope, deliverables, and performance metrics to ensure alignment with your business strategic goals and any predefined criteria. Following this comprehensive analysis, our expert team will consult on potential solutions and carefully review the project specifications.

Before executing the full-scale project, our team will conduct a carefully designed small-scale pilot program. This involves using a sample dataset to simulate the project workflow and test the proposed methodology and tools in a real environment. After the pilot, we gather comprehensive feedback from your team to finalize the specifications and establish clear Service Level Agreements (SLAs).

Project manager will meticulously select qualified staffs based on their skills, experience, and suitability for your specific project requirements. Once the team is assembled, they undergo project-specific training. This training covers detailed guidelines, the use of specialized tools and platforms, quality control protocols, and best practices for maintaining consistency and accuracy.

With the requirements defined and the pilot successfully completed, we establish the operational framework for smooth execution. A dedicated PM will develop detailed communication protocols and create a comprehensive project timeline. Furthermore, the team will build a structured reporting system including project progress, key metrics, and quality performance, allowing stakeholders to track the project's status easily.

LTS GDS's team implements the established plan on a larger scale. We closely monitor progress and key performance indicators (KPIs) as defined in the SLAs through multiple QA processes. Additionally, PM and IT comtor update progress on a regular basis to ensure that all activities meet the agreed-upon standards.

Before closing the project, our operation teams employ a multi-layered QA process to ensure the entire project meets the highest standards of accuracy, completeness, and consistency, and that the deliverables fully align with the expected results. Upon successful completion of the final quality check, we deliver all processed datasets and conduct dedicated testimonial and feedback sessions.

The Values We Bring

Supercharge your IT Managed Services efficiency!

Quality-centric Approaches

We prioritize quality, as reflected in our 99% accuracy, prestigious awards, strict four-step review process, and DEKRA's Certificate of Conformity for Data Labeling.​

Security Standard​s​

We safeguard your data confidentiality by signing a non-disclosure agreement (NDA) and enforcing stringent security measures in full compliance with ISO 27001 and GDPR standards.

Dedicated Teams​

We assemble dedicated, multi-tier teams by blending experienced leaders with a well-trained team, ensuring efficient management, scalability, and adaptability to business needs.​

Cost Efficiency

Take advantage of competitive labor costs, favorable tax policies, and flexible pricing models to optimize overseas IT outsourcing projects and meet diverse client requirements.​

Wall of Achievement

99%

Accuracy

5M+

Data Units

11

Countries

200+

Projects

Our Industries

Explore advanced applications in managed IT across leading business sectors.
Automotive

By leveraging our precision-crafted automotive datasets, OEMs and suppliers enable AI-driven systems to boost decision-making accuracy, enhance safety, and drive greater reliability on the road.

Retail

Retailers can make use of real-time, high-quality data to offer personalized shopping experiences, facilitate inventory management, enable automated or cashier-less stores and reduce financial loss by spotting patterns associated with fraudulent behavior.

Manufacturing

By applying our structured data solutions, manufacturers will be ready to optimize supply chains, speed up research and development, and take advantage of intelligent automation for quality control in manufacturing.

Construction

LTS GDS transforms complex construction data into insightful data that improve worksite safety, enhance project planning, and streamline the management of equipment, materials, and labor.

Sport

Delivering high-quality processed data to the sports industry, LTS GDS supports advanced technologies such as biomechanical analysis, VAR systems, and performance optimization for players and referees.

Our Case Studies

 Explore our case studies to see how our data processing services have transformed your businesses.

[Data Annotation] Apply segmentation techniques to annotate automotive datasets 
12 - 11 - 2024
What the client needs  To gain a competitive edge in the autonomous vehicle race, the demand for high-quality data annotation services for AI models is rapidly increasing. So, it is...
RPA-Powered Inventory Management for Manufacturing
06 - 11 - 2024
Business Challenges Over 100 of their warehouse staff are currently burdened with manually managing thousands of inventory items, shipping units, and warehouse providers. This process is time-consuming, resource-intensive, and prone...
[RPA] Accelerating Invoice Processing and Stock Reporting in the Pharmaceutical Industry 
31 - 07 - 2024
Business Challenges  They encountered two primary challenges:  Accounting Operations: The internal accounting team had to process manually over 10,000 invoices daily. Specifically, matching SAP system invoices with purchase orders and contract...
[RPA] Enhancing Purchase Invoices Data Entry in Retail
21 - 05 - 2024
Business Challenges Managing and processing purchase invoices can be a demanding task for any business. In the case of a supermarket with millions of invoices from retail buyers and suppliers,...
[Data Annotation] Smart Transportation Systems Project
21 - 05 - 2024
What the client needs The company will use artificial intelligence technology to make driving safer; therefore, they need a high-quality data set that provides AI with the necessary information to...
[RPA] Issuing Motor Vehicle Insurance Online with RPA       
21 - 05 - 2024
Business Challenges   Our client sought a specialized RPA vendor to optimize their motor vehicle insurance issuance processes. Their goal was to seamlessly integrate Robotic Process Automation into their current system,...
[Data Annotation] Pizza ingredients annotation 
21 - 05 - 2024
What the client needs  The customer was developing an AI model to identify pizza ingredients and calculate their nutritional value using image segmentation. This allows customers to compare calorie consumption...
[RPA] Revolutionizing Daily Reporting in Banking
29 - 01 - 2024
Business Challenges  With a presence in over 160 global offices, our client serves a vast customer base of 5 million in Japan, offering them a range of financial services. This...
US Vehicle Annotation
29 - 01 - 2024
What the client needs Our customer requests us to label a dataset of transportation and vehicles in the long-term data annotation project. They were looking for a data labeling vendor...
[RPA] Optimizing data entry processing in banking
29 - 01 - 2024
Business Challenges Our client has over 200 branches operating in Japan and abroad. As a result, they have to manually process a significant amount of input data every day, taking...
Annotating 100,000 Runways Images for AI-Powered Flight
29 - 01 - 2024
What the client needs Our client sought a vendor proficient in annotating runways using a semantic segmentation technique. This is a specialized autopilot project with the following key requirements:   An...

Our Tools and Technologies

GDS leverages advanced tools and technologies to deliver efficient data processing services.

FAQs about Data Processing Services for AI/ ML Models and LLMs

What are data processing services?

Our data processing services involve collecting, labeling, and validating raw data to generate specialized datasets for AI/ML models and LLMs. These services convert unstructured or semi-structured data into usable formats for reporting, decision-making, or system integration.

What types of data can be processed?

Data processing services can handle a wide variety of data types, including:
-Image data: photographs, scans, medical images
-Audio and video data: recordings, multimedia content
-Text data: documents, emails, social media posts, articles, reports
-Numerical data: sales figures, financial records, sensor readings, statistics
-Structured data: databases and spreadsheets
-Unstructured data: text documents, PDFs, emails
-Semi-structured data: XML or JSON files

How do data processing services ensure data security?

LTS GDS ensures data security by signing Non-Disclosure Agreements (NDAs) and implementing strict security practices aligned with ISO 27001, GDPR, and HIPAA standards. Regular audits, staff training, and continuous monitoring are also conducted to maintain a secure and compliant environment throughout each project.

How to choose a data processing company?

To choose the right data processing company, clearly define your project’s requirements, including quality standards, industry experience, service variety, data security, pricing, and timeline. Evaluating vendors based on these key factors will help identify the most suitable partner for long-term success.

Awards & Certifications

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