AI Data Services

Trusted Data. Reliable AI.

End-to-end data preparation, labeling, and optimization to build, fine-tune, and operationalize your LLMs & AI.

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Success Stories

...it's all about results

Environmental Monitoring

Bounding Box Image Annotation to Enable AI-Powered River Monitoring

Large Infrastructure Monitoring

Drone Image Annotation with 95%+ Labeling Accuracy

Traffic Management

35% Accuracy Improvement in Traffic Management System via Aerial Image Annotation

Autonomous Drone Navigation

Enhancing Object Detection Algorithm Accuracy with Precise Drone Video Annotation

Content Recommendation

Text and Video Labeling for Predictive Content Intelligence Platform

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SERVICES

Human-in-the-Loop AI Data Services

A Trustworthy, Traceable Foundation to Responsible AI/ML & LLM Solutions

Custom Data Collection Services for AI/ML

Web Scraping at Enterprise Scale

Collecting large-scale datasets from thousands of web sources.
Using Python tools for web scraping, such as Scrapy and BeautifulSoup.
Following ethical practices of data collection for AI & ML solutions.
Building APIs and data pipelines for structured data ingestion from several sources.

Data Transformation & Management Services

Ensuring Data Usability across AI/ML Workflows

Transforming raw data into model-ready training datasets.
Performing data cleansing, enrichment, normalization, and data standardization.
Applying multi-level data validation to ensure accuracy, consistency, and data integrity.

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Data Annotation Services

Precise 2D & 3D Image, Text, & Video Annotation Services

Delivering high-quality labeled training datasets for AI and LLMs.
Using client-provided proprietary tools or customizing industry-standard data annotation tools (CVAT, V7, Labelbox).
Adapting annotation workflows to specific project needs (e.g., domain-specific or multilingual data labeling).
Added support for image and video summarization, audio data transcription, & content moderation.

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Human-in-the-Loop Model Validation Services

Quality Assurance for AI Solutions

Validating and verifying AI model outputs through human review.
Engaging subject-matter experts to detect errors, biases, and inconsistencies.
Identifying edge cases that automated testing may overlook.
Improving model reliability, safety, and performance through continuous feedback loops.

SERVICES

Generative AI Training Data Services

AI Data Solutions for Large Language Models, Conversational AI, and Generative Systems

When training data is generic, feedback is missing, or testing is shallow, your GenAI-based chatbots, virtual assistants, or content generation platforms become liabilities rather than assets. Our Generative AI data services keep your models aligned, accurate, and enterprise-ready, so your product teams ship AI that users trust and regulators approve.

Natural Language Processing (NLP) Data Services

Making Unstructured Text Useful for AI Training

We transform unstructured text, speech, and conversational data into structured, annotated datasets that enable your models to understand, interpret, and generate human-like language.

Text Classification & Categorization
Named Entity Recognition (NER)
Sentiment Analysis & Intent Classification
Conversational Data Annotation
Multilingual NLP Data Services
Audio-to-Text Transcription
Part-of-Speech Tagging
Text Summarization

Reinforcement Learning from Human Feedback (RLHF)

Aligning AI with How End Users Actually Want it to Behave

Train your generative AI models to produce outputs that are helpful, harmless, and honest with our Reinforcement Learning from Human Feedback (RLHF) services. We combine expert human evaluators with systematic ranking methodologies to align your AI systems with human preferences and safety standards.

Response Ranking & Preference Annotation
Multi-Criteria Assessment Tailored to Use Cases
Specialized RLHF Services across Industries
Adversarial Prompt Testing (for Edge Cases, Problematic Queries)

Adversarial Red Team Testing

Finding Vulnerabilities before Your Users Do

Through role-playing scenarios and multi-turn manipulation tactics, we intentionally stress your AI systems to expose weaknesses that could lead to harmful outputs or unintended behavior while also identifying issues that automated testing might miss.

Prompt Injection Vulnerability Testing
Jailbreak Attempt Detection
Safety & Harm Assessment
Bias & Fairness Audits
Brand Safety & Compliance Testing

USE CASES

Domain-Specific AI Training Data Services

Explore Where Our AI Data Services Make a Difference in Your Industry

Looking for domain-relevant, high-quality training data that caters to the unique data challenges, regulatory requirements, and risk profiles of your niche? Our domain-specific AI training data services enable organizations to train AI, ML, and LLM solutions that perform accurately in real-world environments—while meeting industry-specific standards for safety, compliance, and trust.

IT + SaaS

AI training data services for LLM Model Development, computer vision models, audio & image recognition, sentiment analysis, and AI agent training.

Finance + FinTech

Deploy AI solutions for fraud detection, customer sentiment analysis, risk assessment, etc., using compliant data.

Customer Service + Support

Train chatbots that understand intent & context, respond empathetically, and escalate issues appropriately.

Retail + Consumer Products

Ground truth data services for product classification, agentic AI training, inventory management, visual search engines, and smart retail operations.

Content Generation

Build AI writers that stay on-brand, fact-check themselves, and adapt tone to the audience with appropriate training data.

Healthcare AI

Ensure medical information is accurate, safety boundaries are maintained, predictive treatment plans are developed, and HIPAA is respected.

Energy + Oil + Gas

Geographic and satellite image labeling support for environmental monitoring, risk management, fault detection, and geological analysis models.

Agritech + Agriculture

Data and AI services for livestock monitoring, soil moisture detection, crop monitoring, harvest prediction, plant disease identification, and more.

What Sets Us Apart

What Makes SunTec India One of the Leading AI Training Data Companies

SunTec India brings over 25 years of proven expertise in data-centric services and technology solutions to the table. We have supported several global enterprises across 50+ countries with high-quality data engineering, annotation, validation, and lifecycle support—built on a foundation of robust process maturity (CMMI Level 3 & ISO 9001 Certified), security certifications (ISO/IEC 27001), and long-term client partnerships. This foundation positions us as one of the few AI training data companies with a distinct advantage when crafting AI training datasets that are fit for real enterprise use cases.

Your Challenges with AI Training Datasets	The Advantage Our AI Training Data Company Offers
General Training Datasets	Niche Training Datasets that Work for Your Use Case
AI Outputs Drift Over Time	RLHF Loops that Continuously Align AI Models with Expected Outputs
Annotation Quality is Inconsistent	Multi-Tier Quality Control & Validation by Subject Matter Experts
Can't Find Domain Experts	Domain Specialists across Healthcare, Finance, Legal, Tech, and Similar Domains
Compliance Uncertainty	GDPR/HIPAA-Aligned Workflows with CMMI Level 3 Maturity & Audit Trails
Data Sits in Silos	End-to-End Pipeline from Raw Data to Training Data for AI/ML

AI handles

Adjusts bids in real-time across thousands of keywords
Detects anomalies—CPC spikes, pacing issues, audience fatigue
Predicts performance and identifies high-potential opportunities
Dynamically allocates budget to top performers 24/7
Processes millions of data points instantly

Humans control

Architect campaign structures for scalability and profitability
Respond to competitive threats and market shifts strategically
Refine messaging based on category-specific customer psychology
Make critical pivot decisions during launches and peak seasons
Interpret AMC insights and build cross-channel strategies

FAQ - Frequently Asked Questions

AI Data Services: FAQs

01 What types of data can you collect from the web for AI training?

We collect text (articles, reviews, social posts, documents), images (product photos, public imagery), structured data (prices, catalogs, listings), public records, and industry-specific content. Our AI data collection services use Python-based scraping that respects robots.txt and platforms’ terms of service.

Public or licensed images and videos, subject to copyright, consent, and usage rights, collected via website data scraping and API-based ingestion.
Text and audio data sourced from human communication channels and digital content systems on the web (like websites, documents, forums, knowledge bases, and open-source transcription datasets).
Ground truth datasets collected from client-provided data sources (like sensors or IoT systems) or licensed datasets from authorized third parties.
Medical datasets aggregated from licensed, anonymized, or IRB-approved research datasets, as directed by the clients.

We can provide data annotation, data processing, and data validation support for restricted or proprietary datasets, provided the client supplies the data through their infrastructure or an authorized third party (e.g., sensor, spatial, medical, or human-subject data).

02 Can you handle multilingual data annotation?

Yes. We have native-speaking annotators for multiple languages who ensure cultural context while labeling datasets and maintain translation accuracy.

03 Can you use our proprietary data annotation tools?

Yes. We offer data annotation services tailored to client preferences, and our team is familiar with several data labeling tools and platforms. We can use your custom labeling tool or any of the popular platforms you choose (Labelbox, CVAT, Scale AI, V7, Supervisely, etc.).

04 How do you handle data security in AI data services?

Our AI data company protects client data and IP via several measures:

SunTec India is ISO/IEC 27001 certified and operates in compliance with GDPR, CCPA, and HIPAA, as applicable.
Our teams sign standard non-disclosure agreements (NDAs) before project commencement.
We maintain secure audit trails to ensure accountability and traceability.
Access to data is restricted to background-verified personnel on a least-privilege basis.
Physical and environmental security controls are enforced through authorized, monitored access.

05 How do you deliver reliable training data for AI?

We offer AI training data services based on responsible AI principles:

Using ethically sourced or client-provided data
Structured data transformation, annotation, validation, and review
Human-in-the-loop validation involving subject-matter experts alongside automated workflows
Domain-specific annotation guidelines, multi-level quality checks
Based on a privacy- and security-first approach

06 How much does your AI training data service cost?

The cost of AI data services depends on the complexity of your project. Therefore, we create custom quotes depending on your requirements. Here are some factors that determine project cost:

Type of service required (data collection, human-in-the-loop model validation, labeling/annotation, transformation, or any combination of these)
Data collection complexity (source diversity, data access constraints, data formats needed)
Data volume to be processed
Annotation complexity (bounding boxes on clear images vs. multi-class segmentation)
Domain expertise required (general vs. medical/legal specialists)
Quality requirements (single annotator vs. triple consensus)
Project timeline (rushed timelines typically require additional resources, and hence, cost more)

You can request a quote (for free) by mailing your requirements to info@suntecindia.com.

07 How do you deliver training data for AI/ML?

If you prefer a specific annotation tool (e.g., CVAT, Labelbox, V7, Supervisely), the labeled data can be delivered in the native output format of that tool, such as COCO JSON, JSON, YOLO, Pascal VOC XML, CSV/TSV, CoNLL, PCD, etc. If you use a custom or in-house annotation or ML pipeline, the data can be formatted to plug directly into your systems. If you use a unique or non-standard data structure (fields, labels, naming conventions, file types), you can share the schema, and we will deliver according to those requirements.

08 What is AI data service?

AI data services provide essential, high-quality, labeled data to train and power artificial intelligence models and manage the entire data lifecycle for AI development. It includes AI data collection service, data annotation (tagging) service, data validation, and data preparation (cleansing, data enrichment, standardization) to ensure that the final training data for AI is accurate and unbiased.

Key AI data services we provide include:

Custom Data Collection Services for AI/ML
Data Transformation & Curation Services
Data Annotation Services
Human-in-the-Loop Validation Services
Generative AI Data Services
Natural Language Processing (NLP) Data Services
Reinforcement Learning from Human Feedback (RLHF)
Adversarial Red Team Testing

09 What is AI training data used for?

The AI training data you get with our ground truth data services can be used to train, retrain, or improve the performance of AI/ML/LLM solutions for applications in multiple sectors, like autonomous vehicles, healthcare, finance, legal, etc.

Autonomous Driving: Videos, LiDAR & sensor data, and image labeling for objects such as pedestrians, vehicles, lanes, and traffic signals to train computer vision and sensor-fusion models used for perception, navigation, and collision avoidance.
Retail & E-commerce: Product images, descriptions, reviews, and customer interaction data is labeled to train recommendation engines, computer vision models, and LLMs that power personalization, visual search, product discovery, and customer engagement.
Healthcare & Life Sciences: Medical images (X-rays, MRIs), clinical text, audio notes, and structured health records are labeled to train diagnostic ML models, NLP systems, and LLMs, supporting medical imaging analysis, clinical decision-making, and documentation automation.
Finance & Banking: Labeling text data, such as transaction data, customer behavior records, documents, communication logs, etc., to train ML models and LLMs for fraud detection, credit risk assessment, regulatory compliance, and automated customer support.
Media, Search & Generative AI: Text, image, audio, and video datasets are annotated to train LLMs, multimodal models, and generative AI systems for content creation, search relevance, moderation, summarization, and personalization.
Legal & Compliance: Annotating contracts, case files, statutes, and legal correspondence to train NLP models and LLMs for document classification, clause extraction, legal research, etc.