In this blog, we will explore how professional data training services are reshaping the foundation of Generative AI development.
Read MoreData Collection Services for Machine Learning
Fuel your AI models with rich, diverse, and trustworthy training data.
Transformative Data Collection Services for AI
Digital Divide Data (DDD) designs and executes end-to-end data collection programs that deliver high-quality, multimodal datasets for computer vision, NLP, generative AI, and real world Physical AI systems. With a global community of contributors and deep experience in AI data collection services, we help you source exactly the data your models need, at scale and with confidence.
Fully Managed Data Collection- End to End
From a one-time dataset to always-on pipelines, DDD manages the complete lifecycle:
Discovery & scoping
Clarify business objectives, data modalities, target volumes, and quality thresholds.
Collection design
Define scenarios, instructions, sampling plans, demographics, and environments.
Contributor recruitment & training
Onboard and train contributors aligned to your guidelines.
Data capture & monitoring
Collect data via web, mobile, on-site, or integrated systems with real-time progress tracking.
Quality review & enrichment
Validate, clean, and enrich data; optionally add labels or metadata.
Delivery & iteration
Deliver in your preferred formats and integrate feedback into the next collection cycle.
Training data collection across all major data types
Image
Computer vision training data built through high-quality image data collection.
Video
Video data collection services delivering AI-ready datasets for machine learning.
Text
Text data collection for AI to power robust NLP model training.
Audio
Speech data collection for AI that enables accurate and diverse audio models.
Synthetic Data
Synthetic data generation services producing scalable, bias-controlled training datasets.
Multimodal Sensor Fusion
AI-ready multimodal datasets combining synchronized sensor fusion data collection.
Text Data Collection for NLP & GenAI
Unlock insights from domain-specific text to power NLP, LLMs, search, and document understanding.
Text we can source or create:
- Business & financial documents (invoices, statements, receipts, contracts)
- Customer communications (emails, chats, support tickets)
- Technical and scientific content (reports, manuals, publications)
- Cultural heritage and archive materials (metadata, transcripts, descriptions)
Use cases
- Document classification and routing
- Information extraction and entity recognition
- Retrieval-augmented generation (RAG) Corpus
- Domain adaptation for large language models
Speech & Audio Data Collection
Collect rich speech corpora for voice assistants, call-center analytics, transcription, and spoken-dialogue systems.
We can collect:
- Scripted and unscripted monologues
- Human–human and human–bot dialogues (e.g., contact centers)
- Command-and-control utterances and wake words
- Audio in varied acoustic environments (quiet rooms, vehicles, outdoor, noisy locations)
Customizable parameters:
- Languages and dialects
- Age, gender, and other demographic attributes
- Devices (headsets, smartphones, in-vehicle microphones, etc.)
- Sampling rates, file formats, and noise profiles
Image Data Collection for Computer Vision
Gather real-world visual data that reflects the conditions your models will see in production.
Images we can collect:
- Product, retail, and shelf images for eCommerce and robotics
- Agricultural imagery (fields, crops, livestock, equipment)
- Medical and scientific imagery (subject to compliance and client controls)
- Identity and document images (IDs, licenses, forms, etc.)
- Industrial and manufacturing imagery (equipment, defects, safety signs)
Use cases:
- Object detection and tracking
- Defect and anomaly detection
- Scene understanding and navigation
- OCR and document understanding
Video Data Collection for Dynamic Scenarios
Video is essential when your models need to understand motion, behavior, or events over time.
Examples of video data collections:
- Road, traffic, and driving scenes for autonomous systems
- Robotics and warehouse operations
- Human activity and gesture datasets
- Surveillance-style footage captured under defined ethical and legal constraints
Supported setups:
- Fixed cameras (CCTV, in-store, on-site)
- Mobile cameras (drones, vehicles, handheld devices)
- Multi-camera or multi-sensor rigs for simulation and autonomy use cases
Industries We Support
DDD’s data collection services support a wide range of AI initiatives, including:
Defense Tech
Geospatial data, scenario datasets, multimodal perception for safety-critical applications.
Agriculture & AgTech
Crop, soil, and livestock imagery; sensor and drone data for precision agriculture.
Cultural Heritage & Libraries
Digitization, transcription, and enrichment of archives and collections.
Healthcare & Life Sciences
Structured and unstructured data collection under strict privacy and regulatory controls.
Financial Services
Document and transaction datasets for risk, compliance, and automation.
What Our Clients Say
Why Choose DDD?
Multimodal, AI-ready data
Text, speech, images, video, and sensor streams collected and packaged specifically for machine learning use cases, not generic “off-the-shelf” content.
Global contributor network
Access a large, diverse pool of vetted contributors across regions, accents, environments, and demographic groups to reduce bias and improve model robustness.
Human-in-the-loop quality
Every collection program is managed by experienced project teams, supported by robust QA workflows, sampling, and validation checks.
Secure by design
We operate within strict information security standards and follow client-specific compliance requirements for sensitive projects.
Social impact built in
As a pioneering impact-sourcing social enterprise, DDD creates skilled digital jobs for youth from low-income communities while delivering world-class data services to global clients.
Quality, Security & Compliance
Data quality and trust are non-negotiable.
Rigorous QA Workflows
Multi-level validation, sampling, and audits performed by specialized teams.
Standardized Guidelines
Clear instructions, training materials, and calibration ensure consistency across contributors and locations.
Secure Environments
Controlled access, secure file transfer, and client-specific security policies for sensitive data.
Ethical & Responsible Sourcing
Our impact-sourcing model ensures fair work conditions and long-term career paths for our workforce.
Read Our Latest Blogs
Read expert articles, insights, and industry benchmarks across key AI industries.
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Frequently Asked Questions
What kinds of data can DDD collect for AI projects?
We collect text, speech, audio, images, video, and sensor data tailored to your domain and use case. Most projects mix several data types to reflect real-world conditions.
Which languages and regions do you support?
We work with a global contributor base, allowing coverage across many languages, dialects, and geographies. For critical projects, we co-design the language and locale mix with you at the scoping stage.
How do you ensure data quality?
Our approach combines clear collection guidelines, contributor training, automated checks, and human review. We use sampling, double-pass reviews, and targeted audits to confirm that datasets meet your quality benchmarks.
How is my data kept secure?
We follow strict security practices, including access controls, secure file transfer, and environment isolation. For sensitive projects, we can align with your enterprise security and compliance requirements.
Can you also annotate or label the data you collect?
Yes. In addition to collection, DDD offers comprehensive data annotation, labeling, and validation services, so you can move from raw data to model-ready datasets with a single partner.
How long does a typical data collection project take?
Timelines depend on data type, complexity, volume, and geography. After discovery, we provide a clear plan with estimated milestones and phased deliveries so you can begin training early while we continue to scale the dataset.
What volumes can you support?
We handle everything from targeted pilots to very large-scale programs thanks to our managed workforce and global contributor network.