AI Data Collection Services

Real‑World Data. Ethical Sourcing. For Niche Use Cases.

  • Fully-managed multi-modal data collection via targeted web scraping
  • High-volume web data pipelines for Enterprise AI teams
Get Your AI Data Collection Proposal

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 DATA COLLECTION SERVICES

Custom AI Data Collection Services for AI/ML/LLM Training

Grounded in Ethical and Legal Compliances

Get high-fidelity, real-world datasets for training and fine-tuning your LLMs and ML models. Gathered from the web based on your specific use case and data requirements, training data collection is narrowed down to specific metadata, dates, languages, and geographic regions to ensure relevance. Our AI data collection services are rooted in ethical scraping practices. We respect Robot.txt policies, handle data in accordance with global standards (e.g., GDPR, CCPA), and validate collected training data to ensure accuracy and model readiness.

Python-based website data scraping (Scrapy, BeautifulSoup, Selenium)

Data extraction from JS-heavy & rate-limited sources

CAPTCHA and bot detection bypass

Structured data delivery (JSON, CSV, XML)

Custom data collection for specific use cases

Human-in-the-Loop data validation

Data integration with cloud platforms (S3, GCS, etc.)

PROCESS

How Is AI Training Data Collected

And Why Web Scraping Works Best for Enterprises

AI training data can be collected from the web (via web scraping), purchased from off-the-shelf data providers, recorded via crowdsourcing, or generated synthetically. However, for enterprise-level AI applications—such as media content recommendation engines or street waste monitoring models—the data requirements are highly specific and must reflect real-world, domain-specific conditions.

Web scraping stands out as the most effective and efficient method for AI data collection, as it delivers a high volume of relevant, up-to-date data at scale, tailored to your unique needs, ensuring accurate model training.

Stop Training AI on Stale, Generic Data

We deliver custom data collection services for AI and ML, so you can

  • Reduce AI Data Debt
  • Protect Your AI Solutions from “Black Box" Data Providers
  • Uphold High Model Integrity
Get a Free Consultation

SERVICES

Driving Enterprise Use Cases with Multi-Modal AI Data Collection

Industry-Focused Text, Image, Audio, and Video Data Collection Services, at Scale

Generic training data produces generic AI models. We collect the specific data your AI actually needs – scraped from real-world sources, structured for your use case, and delivered at the scale required for enterprise deployment.

So, for instance, if you are developing an AI-driven urban environment monitoring system, we scrape publicly accessible street-view images, geotagged social media photos of urban infrastructure, and open-source municipal data across applicable regions. Our team then annotates the data to categorize specific objects—such as asphalt damage, waste types, or infrastructure anomalies—ensuring your model is trained on the actual visual complexity of real-world city streets rather than a controlled lab environment.

Whether you need product images to train a visual search solution, domain-specific text corpora for LLMs, or podcast transcriptions for voice AI—we scrape, process, label, organize, and deliver the exact data your model needs to perform in real-world conditions.

Video Data Collection Services

Large-scale video data collection, handling JavaScript-heavy sites, API integrations, and multi-resolution formats, with frame-level video labeling and action segmentation, to create Data Pipelines for computer vision & action recognition models.

The Data We Collect

  • YouTube Videos and Metadata
  • TikTok/Instagram Reels
  • Product Demonstration Videos
  • Sports Footage
  • Public Traffic/Surveillance Camera Feeds

AI/ML/LLM Training Use Cases

Image Data Collection Services

Image scraping for computer vision model training, 2D/3D image annotation (including sensor and 3D point cloud labeling), tailored to client preferences, with format delivery in COCO, YOLO, Pascal VOC, or custom specifications

The Data We Collect

  • eCommerce Product Images
  • Social Media Photos (Instagram, Pinterest, Facebook)
  • Stock Photography Websites
  • Real Estate Property Photos
  • Medical Imaging (from Published Research)
  • Street View and Map Images

AI/ML/LLM Training Use Cases

Text Data Collection Services

Support for NLP and LLM training data needs, with structured and unstructured data collection, text annotation, data collection, and model evaluation, with context preservation via humans-in-the-loop.

The Data We Collect

  • News Articles and Blog Posts
  • Medical Journals and Research Papers
  • Product Reviews and Ratings
  • Social Media Posts (Twitter, Reddit, Forums)
  • Q&A Platforms (Stack Overflow, Quora)
  • Legal Documents and Case Law
  • E-commerce Product Descriptions
  • Comments and User-Generated Content
  • Property Listings

AI/ML/LLM Training Use Cases

Audio Data Collection Services

Full-range of speech and audio data processing services, including audio data collection from the web and audio data labeling, delivered with timestamped transcriptions.

The Data We Collect

  • Podcast Audio and Transcripts
  • YouTube Audio Tracks
  • Public Speeches and Lectures
  • Audiobook Samples
  • Music Libraries
  • Radio Broadcasts

AI/ML/LLM Training Use Cases

Domain-Specific Data Collection Services

Industry-focused data collection (healthcare, finance, legal, retail, etc. )from verified sources, in accordance with compliance requirements, and with domain expert validation for specialized enterprise AI/ML/LLM applications.

The Data We Collect

  • Medical Literature (PubMed, Journals)
  • Drug Databases
  • Company Financial Reports
  • SEC Filings
  • Competitor Pricing & Product Catalog
  • Street Camera Videos

AI/ML/LLM Training Use Cases

  • Diagnostic Assistants
  • Trading Algorithms
  • Credit Scoring
  • Fraud Detection
  • Dynamic Pricing
  • Demand Forecasting
  • City/Street Maintenance

CLIENT SUCCESS STORIES

It's all about results.

The Proof is in the Pipeline

Discover how we’ve helped businesses across 50+ nations bridge the gap between "lab-ready" and "market-ready" AI/ML applications by solving their most complex training data challenges.

Bounding Box Annotation Services

Precise bounding box annotation for high-resolution aerial river images to train an AI-powered river flow obstruction detection system using the client’s proprietary data annotation tool.

1,500 to 2,000

Images Labeled per Week

98%

Labeling Accuracy Rate Maintained

<1%

Revision/Rework Rate
  • Service Image Annotation
  • Platform Client’s Proprietary Annotation Platform
  • Industry Environmental Monitoring / Forestry
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Aerial Image Annotation

Large-scale image annotation services for a drone-based infrastructure monitoring company developing an automated bird nest detection system on power grids.

15,000+

Images Annotated

95%+

Annotation Accuracy
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aerial image annotation

Helping a government agency improve urban traffic flow by boosting the accuracy of their AI system through aerial image labeling

35%

Increase in Model Accuracy

20%

Improvement in Traffic Flow Monitoring
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ai-model-snippet

Labeled over 100,000 frames in drone footage to improve the accuracy of object detection algorithms used for drone surveillance

30%

Boost in Object Detection Accuracy

20%

Increase in Overall Operational Efficiency

Expanded

Drone Tracking Capabilities
  • Service Video Annotation Services Infrared & Thermal Imaging Processing Bounding Box Annotation
  • Platform CVAT
  • Industry Security and Surveillance
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Data Labeling for a Predictive Content Intelligence Platform

Labeled over 2500 entertainment content (Movies, TV Series, Trailers) monthly to enable the accurate prediction of the target audience engagement rates and response.

65%

Improved AI Model Accuracy

60%

Less Content Categorization Errors

4-Month

Faster Model Development
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Image Annotation for Restaurant AI Agents

Prepared production-ready training data for a restaurant operations management AI agent through specialized polygon segmentation of food items, enabling multi-chain deployment without client-specific retraining.

20,000+

Annotated Images Delivered

98%

Annotation Accuracy Maintained
  • Service Image Annotation
  • Platform CVAT
  • Industry F&B (Food Delivery Technology)
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Semantic Segmentation

Helping a tech leader in the domain of Environmental Monitoring & Satellite Data Analysis train its AI model to identify and classify seasonal transitions in river bodies by annotating 8500+ images.

98%

Annotation Accuracy

99%

Client Acceptance Rate
  • Service Image Annotation
  • Platform CVAT
  • Industry Climate & Environmental Technology
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Drone Image Annotation

Labeled and validated over 10,000 high-resolution drone images monthly using QuPath to train an AI-powered livestock detection model, delivering 95%+ annotation accuracy.

10K+

Images Annotated Monthly

95%+

Labeling Accuracy
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Video Annotation Services

A video annotation solution where we customized CVAT to ensure strict adherence to the client’s labeling guidelines while automating the pre-annotation workflow and other time-consuming processes.

98–99%

Labeling Accuracy

42%

Faster Annotation

21%

Improved Early Model Precision
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optimizing street maintenance system

Improved urban waste management by enhancing the object detection accuracy of street maintenance system through image labeling

45%

Improvement in Object Detection Accuracy

30%

Reduction in Operational Costs

3000+

Images Annotated with Precision
  • Service Image Annotation Bounding Box Annotation Image Segmentation
  • Platform CVAT
  • Industry Government Sector
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ai-model-snippet

Helping a motor insurance company streamline AI-powered vehicle damage assessment and claim processing with image annotation

40%

Improved Damage Detection

30%

Faster Claims Processing

3000+

Images Submitted for Claims Annotated Accurately
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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

RELATED SERVICES

Beyond AI Data Collection Services: Complete Data Lifecycle Management for AI/ML Training

From Raw Web Data Collection to Training Dataset Delivery & Model Evaluation

Data Transformation

Cleansing, deduplication & standardization

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Data Annotation

Labeling image, text, and video data

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AI Model Validation

AI output verification by subject matter experts

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CONTACT US

Need Ready-to-Use AI Training Data?

Get High Quality, Multi-Modal Data Collection as per Custom Business Use Case Requirements

You need millions of data points to train robust models. But those data points must reflect your specific domain—your product types, your customer language, your operational scenarios. SunTec India is one of the few AI data collection companies that address the training data problem for niche business use cases, delivering enterprise-scale data collection and domain-specific precision.

Let your team focus on building better models while we manage AI data collection. Reach out for a free consultation or a pilot project.

FAQ - Frequently Asked Questions

AI Data Collection Services

To prevent duplicate data during AI/ML or LLM retraining, we implement change detection so our crawlers can only identify new or updated content. You receive only the new data, ensuring your retraining pipeline is efficient and free of bias from reprocessing the same records multiple times.

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).

Our AI data services are designed to protect 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.

The cost of data collection for AI/ML or LLM model training is customized to each project's unique requirements. Here are some factors that determine project cost:

  • Database Audit—profile data and quantify issues
  • Data Cleansing—correct, deduplicate, standardize
  • Data Enrichment—fill gaps where needed
  • CRM/ERP Integration—deliver clean data into your systems

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

Yes. Data preparation can be very time-consuming, so we offer our support for enterprises with complicated internal data infrastructures. We can extract, clean, and organize your internal data from various sources (databases, cloud storage, or legacy systems), ensuring it is structured and formatted to meet the specific requirements for AI training. We can also enrich the data using relevant AI data collection tools and data extraction techniques to support richer contextual learning for artificial intelligence solutions your team builds.