Data Labeling Services for AI/ML | Data Labeling Company

Enhancing AI Model Accuracy with Human-Supervised Data Tagging

Next-gen AI models require precisely labeled, context-rich training data for applications like autonomous driving, medical imaging, and sentiment analysis. The real challenge arises when unstructured and voluminous data contains ambiguous labels or varied formats and requires domain-specific knowledge for accurate annotation. If your data demands such detailed metadata tagging, SunTec.AI can be a trusted partner. Our human-powered data labeling services offer something that automated solutions cannot— data security, annotation accuracy, and contextual relevance.

Our data labeling company leverages the combined expertise of subject matter specialists and annotators to handle millions of data points across text, image, and video datasets, ensuring accurate AI/ML model training and refinement. Leveraging prominently used data labeling tools, a scalable workforce, and efficient processes, we address challenges ranging from data bias and privacy concerns to budget constraints and tight deadlines.

Data Labeling Services at Scale for AI/ML Model Training

Enhancing the adaptability of LLM models for enterprise applications through meticulous data classification and tagging. Our experts can label diverse types of unstructured data, enabling AI models to perform optimally in complex, real-world scenarios.

Text Data Labeling Services

Specialized in sentiment analysis, named entity recognition, part-of-speech tagging, and text classification, our annotators provide context, intent, and semantics to raw textual data by assigning relevant labels. By handling multilingual annotations and regional dialects, we improve the understanding of natural language processing models in diverse languages and their nuances.

Image Data Labeling Services

Leveraging techniques like bounding boxes, polygon annotation, semantic segmentation, and keypoint landmarking, our experts label 2D and 3D images for object classification and recognition. Regardless of the image dataset's diversity and complexity (multiple objects, varied contexts, and intricate backgrounds), we can precisely annotate each entity.

Video Data Labeling Services

We tag objects, events, and actions frame-by-frame in video datasets to train advanced computer vision models for applications like autonomous driving, security surveillance, and augmented reality. Through video labeling techniques like time stamping, scene segmentation, and temporal event marking, our annotators label large-scale video data.

Use Cases: Data Labeling Services

Automating Customer Support Responses through Text Labeling

By labeling customer queries, common issues, and sentiment data, we create comprehensive datasets to train AI models that automate responses. This improves the efficiency of customer support teams by reducing response times, increasing accuracy, and allowing human agents to focus on more complex issues, leading to better overall customer satisfaction.

Enhancing Document Classification for Efficient Content Management

We classify textual data into predefined categories like contracts, invoices, legal documents, or customer records based on specific attributes such as metadata, keywords, and content structure. These detailed annotations help train AI models to automatically sort and index documents within content management systems, enabling faster retrieval and more accurate organization.

Refining Security Surveillance Systems for Unusual Activity Detection

By annotating facial features, body movements, and suspicious behavior in surveillance footage, we enable AI systems to detect unusual or potentially dangerous activities in real time. This enhances security monitoring in public and private spaces to prevent threats, manage crowd control, and identify specific individuals/activities that require intervention.

Enhancing Autonomous Driving with Object Detection and Road Scene Understanding

Through the precise labeling of video data captured from car-mounted cameras and surveillance systems, we enable AI systems used in Advanced Driver-Assistance Systems (ADAS) to detect various road objects such as vehicles, pedestrians, traffic signs, lane markings, and obstacles. This data labeling helps improve the safety and reliability of autonomous driving technologies by enabling accurate real-time decision-making in complex road environments.

Infrastructure Optimization and Management with Geospatial Analysis

By labeling roads, buildings, and vegetation in aerial images, we enable AI models to monitor infrastructure health and detect areas requiring attention. These models enhance management efficiency by identifying land use changes, tracking vegetation growth, and predicting maintenance needs, allowing for more proactive and cost-effective infrastructure planning and maintenance.

Empowering Industries through Custom Data Labeling Services

Agriculture

Annotating drone and satellite images to help AI models monitor crop health
Labeling environmental and soil data to enable early detection of pest infestations and diseases
Categorizing historical yield data to enhance AI-driven predictions and improve future harvest outcomes

Healthcare

Annotating medical images (e.g., tumors, fractures) to enhance diagnostic accuracy of AI systems
Labeling clinical data, biological patterns, and drug interactions to accelerate AI-driven drug discovery
Categorizing patient records with relevant labels for seamless document management and retrieval through EHRs (electronic health records)

Retail and eCommerce

Tagging product images and descriptions with relevant metadata to enable automated product recommendations by AI models
Labeling customer interactions and reviews based on their intent & context for customer sentiment analysis
Classifying user behavior data to improve targeted marketing strategies and personalized shopping experiences

Finance & Insurance

Labeling transaction data to help AI systems detect and prevent fraudulent activities
Annotating insurance claims and policy documents, enabling AI systems to streamline claims processing
Categorizing financial statements and customer data to assist AI in risk assessment and investment decisions

Manufacturing & Quality Control

Annotating images from production lines to enable AI models for defect detection and improve quality control
Labeling equipment sensor data to support predictive maintenance through AI systems and reduce unplanned downtime
Categorizing operational data to optimize production workflows and improve overall efficiency

Real Estate

Labeling data from IoT devices in smart homes to facilitate real-time property monitoring and maintenance recommendations
Labeling key features like rooms, architectural elements, and outdoor spaces in property images, enabling AI to create interactive virtual tours
Labeling aerial images of property to help AI systems identify boundaries, nearby amenities, and environmental features

How we Handle Data Labeling for AI/ML Models: Our Workflow

Requirements Analysis

We analyze data labeling requirements, project goals, and the complexities involved. We can also share a free sample set to help you assess our service quality & outcomes.

Data Labeling Framework Setup

We create detailed annotation guidelines and configure the data labeling tool according to the project's specifications.

Labeling Diverse Datasets

According to the project's guidelines, our annotators label text, image, and video datasets.

Quality Assurance

Labeled data gets validated for accuracy and contextual relevance through automated and manual techniques by subject matter experts.

Delivery and Refinement

We securely deliver labeled data in the client's preferred format and promptly make adjustments based on the client's feedback.

What Sets SunTec.AI Apart as a Trusted Data Labeling Company ?

With years of experience across diverse industries, SunTec.AI combines deep domain expertise with advanced data labeling techniques. We specialize in handling large-scale, high-complexity projects while ensuring top-tier security and seamless integration into your AI workflows.

Some of our key differentiators are:

Human-Validated Data Annotations

ISO 9001:2015 certified for data quality
Multi-level quality checks by expert annotators
Edge case handling
Annotation consensus
Automated and manual QA techniques

Transparent Communication and Collaboration

Dedicated project manager
Regular meetings/calls (weekly/bi-weekly/monthly) for project updates
Real-time collaboration via Skype, Zoom, Slack, Microsoft Teams, or other preferred mediums
Client feedback integration

Uncompromised Data Security

ISO 27001:2022 certified for information security management systems
Non-disclosure agreements
Data encryption, Role-based access controls
GDPR and HIPAA compliance

Rapid Response and Turnaround Time

Flexibility to work in your time zone
Automated processes and tools for repetitive, time-consuming tasks
Quick project initiation
Scalable teams for large-scale data labeling projects

Data Labeling Services: Client Testimonials

John Spencer

Director of Operations for an eCommerce Brand

To improve the search algorithms of our AI-powered product recommendation system, we required detailed product image tagging. SunTec.AI annotated thousands of images in record time, and their ability to adapt the workflow based on feedback was impressive.

David Lee

Product Development Team Head

We needed a reliable data labeling company to handle complex video annotation for an autonomous driving project, and SunTec.AI exceeded our expectations. Their team demonstrated expertise despite a large number of images being in low resolution. The annotated data significantly improved the performance of our ADAS system.

Dr. Emily Roberts

CTO, Healthcare AI Solutions Provider

We were struggling to label a large volume of medical images for an AI diagnostic tool. SunTec.AI not only met our tight deadlines but also ensured very accurate results. Their team's expertise in healthcare was evident throughout the project, and their attention to detail allowed us to accelerate our model's deployment.

Data Labeling Outsourcing Services - FAQs

The cost of data labeling services varies depending on the project's complexity, data volume, and other factors. However, we have flexible engagement models (such as task-based or project-based pricing) to cater to tailored requirements. For a precise estimate, we recommend you share project details at info@suntec.ai

We have an advanced quality control mechanism to handle ambiguous cases. Our annotators are trained to flag uncertain terms/objects for review. These are then escalated to senior annotators or domain experts who can provide guidance. We also regularly communicate with clients to clarify ambiguous cases and refine labeling guidelines as needed.

Yes. We provide regular updates through a dedicated project manager. They share detailed project progress reports via calls (weekly, bi-weekly, monthly, bi-monthly, or even daily, depending on the client's availability and needs) or emails and address queries promptly to ensure on-time project completion.

Yes. Our annotators are equipped to manage data labeling tasks across multiple languages. We can accurately accommodate a wide range of linguistic requirements, ensuring precision in every project.

Data Labeling Services