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AI Training 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

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Large Infrastructure Monitoring

Drone Image Annotation with 95%+ Labeling Accuracy

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Traffic Management

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

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Autonomous Drone Navigation

Enhancing Object Detection Algorithm Accuracy with Precise Drone Video Annotation

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Content Recommendation

Text and Video Labeling for Predictive Content Intelligence Platform

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AI Training Data Services

Powering Intelligent Enterprise Solutions

We Bring 25+ Years of Data & Domain Expertise to Your Machine Learning Projects

Custom LLMs and applied AI solutions are often constrained by a common factor: weak training data for AI. Your AI is only as smart as the information it consumes. Biased datasets, inaccurate data labeling, or insufficient data volume will only degrade output quality.

Our AI training data services eliminate these points of friction, accelerating the development lifecycle for your AI/ML and LLM solutions. We deliver targeted, accurate, and reliable AI training data services to enterprise AI labs. You get precise, representative, machine-learning-ready data pipelines that enable scalable, trusted AI outcomes.

SERVICES

Human-in-the-Loop AI Data Services

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

AI Data Collection Services

Sourcing raw data from diverse sources across the web & beyond.

Custom Dataset Sourcing

Gathering high-quality image, video, text, and sensor data from diverse environments (satellites, drones, IoT devices).

Large-scale Web Scraping

Automated extraction of structured and unstructured data from the web (using Python/Scrapy/BeautifulSoup).

Ethical Data Collection

Ensuring all collected data complies with copyright, GDPR, and privacy standards.

Data Preprocessing Services

Transforming and cleansing data into machine learning-ready formats.

Data Cleansing & Normalization

Removing duplicates, fixing errors, and standardizing formats.

Data Transformation

Converting legacy formats into model-compatible structures (JSON, CSV, XML, etc.).

Anonymization & PII Masking

Scrubbing sensitive information to ensure HIPAA/GDPR compliance.

Data Enrichment

Adding external metadata or context to existing datasets to increase their value.

Data Annotation & Labeling Services

Creating “Ground Truth” with 2D & 3D image, text, & video annotation services.

2D/3D Image Annotation

Object detection, image segmentation, landmark localization, 3D point cloud annotation

Video Annotation

Object tracking, action recognition, scene segmentation

Text Annotation

Named entity recognition (NER), sentiment & intent classification, part-of-speech (POS) tagging

Multimodal Labeling

Image and video summarization, audio data transcription

LLM Fine-Tuning Services

Fine-tuning foundation models using RLHF & Red Teaming.

RLHF (Reinforcement Learning from Human Feedback)

Response ranking and preference annotation to align AI with human values.

Supervised Fine-Tuning (SFT)

Creating high-quality prompt-response pairs for specific domains.

Adversarial Red Team Testing

Stress-testing models for bias, safety, and jailbreak vulnerabilities.

Hallucination Auditing

Fact-checking model outputs against trusted sources.

AI Model Validation Services

Human validation of model outputs with curated datasets for AI testing.

Human-in-the-Loop (HITL) Validation

Subject-matter expert review of model outputs to identify edge cases.

AI Model Validation Data Services

Curated, high-quality datasets to test model bias, toxic speech, and policy violations.

Bias Detection & Mitigation

Auditing datasets to ensure they are representative and fair.

Consensus & Accuracy Audits

Multi-level quality checks (e.g., 3-annotator consensus) to ensure labeling precision.

Domain-Specific AI Training Data Services

Tailoring workflows to specific industry requirements.

Custom Data Annotation

For industries such as healthcare, finance, retail, automotive, agriculture, etc.

Industry-Specific Compliance Focused Training Data

Ensuring that annotated datasets meet industry-specific compliance standards (e.g., GDPR, HIPAA)

Cross-Industry Data Enrichment

Adding external contextual or metadata to industry-specific datasets to increase their value for targeted AI training.

Sourcing raw data from diverse sources across the web & beyond.

Custom Dataset Sourcing

Gathering high-quality image, video, text, and sensor data from diverse environments (satellites, drones, IoT devices).

Large-scale Web Scraping

Automated extraction of structured and unstructured data from the web (using Python/Scrapy/BeautifulSoup).

Ethical Data Collection

Ensuring all collected data complies with copyright, GDPR, and privacy standards.

Transforming and cleansing data into machine learning-ready formats.

Data Cleansing & Normalization

Removing duplicates, fixing errors, and standardizing formats.

Data Transformation

Converting legacy formats into model-compatible structures (JSON, CSV, XML, etc.).

Anonymization & PII Masking

Scrubbing sensitive information to ensure HIPAA/GDPR compliance.

Data Enrichment

Adding external metadata or context to existing datasets to increase their value.

Creating “Ground Truth” with 2D & 3D image, text, & video annotation services.

2D/3D Image Annotation

Object detection, image segmentation, landmark localization, 3D point cloud annotation

Video Annotation

Object tracking, action recognition, scene segmentation

Text Annotation

Named entity recognition (NER), sentiment & intent classification, part-of-speech (POS) tagging

Multimodal Labeling

Image and video summarization, audio data transcription

Fine-tuning foundation models using RLHF & Red Teaming.

RLHF (Reinforcement Learning from Human Feedback)

Response ranking and preference annotation to align AI with human values.

Supervised Fine-Tuning (SFT)

Creating high-quality prompt-response pairs for specific domains.

Adversarial Red Team Testing

Stress-testing models for bias, safety, and jailbreak vulnerabilities.

Hallucination Auditing

Fact-checking model outputs against trusted sources.

Human validation of model outputs with curated datasets for AI testing.

Human-in-the-Loop (HITL) Validation

Subject-matter expert review of model outputs to identify edge cases.

AI Model Validation Data Services

Curated, high-quality datasets to test model bias, toxic speech, and policy violations.

Bias Detection & Mitigation

Auditing datasets to ensure they are representative and fair.

Consensus & Accuracy Audits

Multi-level quality checks (e.g., 3-annotator consensus) to ensure labeling precision.

Tailoring workflows to specific industry requirements.

Custom Data Annotation

For industries such as healthcare, finance, retail, automotive, agriculture, etc.

Industry-Specific Compliance Focused Training Data

Ensuring that annotated datasets meet industry-specific compliance standards (e.g., GDPR, HIPAA)

Cross-Industry Data Enrichment

Adding external contextual or metadata to industry-specific datasets to increase their value for targeted AI training.

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

Where Do We Fit in Your AI Workflow?

Our AI training data service supports enterprises that:

  • Need large-scale training data for AI
  • Need quality control for existing AI solutions
  • Need both, without rebuilding everything in-house
Reach Out for a Free Consultation
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Who We Serve

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 Icon

IT + SaaS

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

  • 3D Point Cloud/LiDAR Annotation for Robotics, AI/VR
  • Keypoint & Landmark Tagging
  • Semantic Segmentation
  • Supervised Fine-Tuning (SFT) for LLMs
  • AI Agent Workflow Logic Validation
  • Multi-modal Data Labeling (Image, Video, & Text)
  • Audio-to-Text Transcription
Finance + FinTech Icon

Finance + FinTech

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

  • Named Entity Recognition (NER)
  • Transaction Categorization
  • Sentiment Analysis
  • Prompts creation and Q&A pair creation
  • Optical Character Recognition (OCR)
  • Human-in-the-loop (HITL) document verification and labeling
Customer Service + Support Icon

Customer Service + Support

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

  • Intent & Sentiment Classification
  • Dialogue Path & Conversational Data Annotation
  • NLP Training Data Services
  • RLHF for Response Ranking & Empathy Alignment
  • Dialogue Summarization
  • Intent-Entity Mapping
Retail + Consumer Products Icon

Retail + Consumer Products

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

  • 2D/3D Bounding Boxes for Inventory Monitoring
  • Sentiment Analysis for Customer Reviews & Social Media
  • Product Classification
  • Polygon Annotation for Visual Search
  • Polyline/Spline Labeling for in-store management
  • OCR for Receipt & Invoice Processing
Content Generation Icon

Content Generation

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

  • Multi-label Text Categorization
  • Creative Metadata Tagging
  • RLHF for Style, Tone, and Persona Alignment
  • Adversarial Red Team Testing (Brand Safety & Bias Audits)
  • Hallucination Auditing & Fact-Verification
  • Response Ranking
Robotics Icon

Robotics

Training data services to help develop robots that navigate complex environments, handle objects with precision, and interact safely with humans

  • 3D Point Cloud/LiDAR Semantic Segmentation for robotic navigation
  • Cuboid annotation for depth perception models
  • Skeletal & Keypoint Tagging for Human Interactions
  • Object Detection and Localization
  • Named Entity Recognition (NER)
  • Sentiment Analysis
  • Human-in-the-Loop Auditing of Robotic Navigation Paths
Energy + Oil + Gas Icon

Energy + Oil + Gas

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

  • Satellite Image Annotation
  • Object Detection
  • Geospatial Feature Extraction & Annotation
  • Segmentation & Bounding Boxes
  • Drone Video Annotation
  • Thermal/Infrared Image Labeling
Agritech + Agriculture Icon

Agritech + Agriculture

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

  • Semantic Segmentation for Crop Monitoring
  • Image Categorization for Livestock Management
  • Bounding Boxes for Pest & Disease Detection
  • Polygonal Annotation for Field Mapping
  • Multi-spectral image labeling for soil health detection

Explore The Full-Range of Use Cases Powered by Our AI Data Services

Domain Specific AI Training Data Services

TECH STACK

AI Data Services: Technology Stack

The Operational Stack Supporting Large-Scale AI Data Collection & Labeling

The infrastructure behind our AI data solutions is optimized for control and speed. This tech stack, implemented within our AI data preparation workflow, enables our AI training data services to remain predictable at scale, auditable under scrutiny, and dependable when models encounter real-world variability.

Security and Compliance

Your data security is our priority

ISO
Certified

HIPAA
compliance

GDPR

GDPR
adherence

Regular
security audits

Encrypted data
transmission

Secure
cloud storage

CONTACT US

Make Data Your Differentiator

Work with an AI Data Company Trusted by ML Teams Worldwide

With over two and a half decades of data services excellence and the infrastructure and team capable of handling data support for ambitious AI projects, we meet our clients where they are in their AI adoption journey.

Speed up the development, deployment, and adoption of customizable AI solutions with our AI data services. Reach out for a free consultation or a pilot project.

FAQ - Frequently Asked Questions

AI Training Data Services

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).

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

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.).

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.

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

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. domain 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.

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.

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

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.