AI DATA COLLECTION
The Training Data Your AI Models Actually Need
Broad, diverse, relevant and current data, built around your model's specific requirements.
Applause Sources the Right Testing Data at Scale
When AI models underperform, the root cause is almost always data. Not enough of it, not representative enough, or simply not built for the use case the model is actually serving. Publicly available datasets and synthetic data rarely reflect the range of real-world voices, contexts and edge cases. And AI developers that keep data sourcing, training and testing in-house risk internal bias.
Applause is different because we source data based on your specific requirements, whether you’re training an LLM, chatbot or AI assistant. We find participants that align with your demographic, language, domain, data type and credential parameters, plus anything else your model needs. Resulting datasets can include text, audio, image, video, communications and more across 150+ languages and 200+ countries and territories.
High-Quality Data for Training a Range of AI Models
Our services are fully managed and support Gen AI, voice and NLP, computer vision, agentic AI and reinforcement learning from human feedback (RLHF) across major data types.
The Right People, Built Into Every Program
For programs requiring specialists, we find participants with verified credentials, from clinicians for medical AI to attorneys for legal AI to financial professionals for fintech and beyond. Each participant is trained on your requirements doc, and managed throughout the engagement by a dedicated program lead. We handle screening, onboarding, NDAs and personal data consents.
Unparalleled Multimodal Data Sourcing Coverage
Applause sources high-quality data from the world’s largest independent testing community.
1.5M+ participants on demand
Our independent digital experts and real end users across 200+ countries and territories are available 24/7/365.
150+ languages covered
Native speakers match your required locales, across dialects, accents and regional variations.
Every major data modality
Text, image, audio, video, communications and content are structured, labeled and delivered in the format your pipeline requires.
Domain specialists included
Legal, medical, financial and other industry experts available when general-purpose contributors won't meet the bar.
Fully managed programs
Recruitment, onboarding, briefing, quality control and delivery — we handle the full program so your team stays focused on the model.
>98% data acceptance rate
Quality review is built into every program before delivery. An initial validation batch confirms quality before full-scale collection begins.
Data Collection That Aligns With Your Roadmap
No matter what type of AI experience you’re launching, Applause can help.
Generative AI and LLMs
Teaching a large language model to follow instructions well requires the kind of prompt-and-response data you can only get from real people, across languages, tones, and domains. We generate custom instruction-tuning datasets, preference rankings and RLHF collections matched to your use case, giving your model the grounding it needs to perform consistently in production.
Voice and NLP
Voice AI that works in the real world has to handle the way people actually speak, not how they read from a prompt sheet in a quiet room. We recruit real speakers matching your demographic and locale requirements, collect utterances at scale across accents and dialects, and deliver labeled audio datasets built for voice assistants, NLU systems, IVR platforms and speech recognition engines.
Computer vision
A model that can only recognize what it has already seen isn't ready for production. We collect, annotate and deliver labeled visual data for object detection, facial recognition, medical imaging, surveillance and autonomous systems, with the demographic diversity and environmental variation your model needs to handle real-world conditions.
RLHF and model fine-tuning
Getting human feedback into your training loop means finding raters who understand not just what a good answer looks like, but why it's better than the alternatives. RLHF requires exactly that: preference data, quality rankings and comparative evaluations from people with real subject-matter knowledge. We build rubric-trained grading teams matched to your domain at the scale your fine-tuning pipeline depends on.
A Step-by-Step Approach to AI Data Collection
A dedicated program lead manages your engagement from requirements through delivery.
Define your requirements
We start with your model requirements: data type, volume, format, demographic criteria, domain needs and compliance constraints. This becomes the requirements document that drives the entire program.
Build your team
Participants are identified to match your demographic or credential requirements, trained on the doc, and onboarded with appropriate legal agreements. An initial test batch confirms quality before full-scale collection begins.
Collect and review
Data collection runs in parallel with quality review. We triage incoming samples against your specifications, catch issues before they reach your pipeline, and prepare data for annotation in the format you need.
Iterate as your model evolves
Programs adjust as your model learns. If a gap emerges, whether a missing dialect, an underrepresented edge case or a new instruction type, we can pivot within the same engagement without renegotiating from scratch.
High-Volume, Purpose-Built AI Datasets at Scale
Applause data collection services have helped enterprise teams across industries structure, tag and optimize massive datasets to fuel high-performing models, chatbots, voice assistants and more.
Need: Vast voice dataset matched to specific criteria
Solution: Applause sourced 10K+ participants from 17 countries and millions of utterances (e.g., 750K across four Brazilian dialects, 700K French-Canadian Quebecois)
Result: Structured datasets, ready for model training
Need: Labeled datasets across audio, video and computer vision
Solution: Diverse participants from Applause’s global independent testing community
Result: Tagged data from tens of thousands of U.S. and global participants
Need: A voice assistant was struggling with regional accuracy
Solution: Applause collected 100K+ diverse utterances spanning 16 UK dialects and evaluated sensitivity to cultural context
Result: A high-performing voice assistant to serve users in the UK
Not Getting What You Need From Your Training Data?
Applause can help you source datasets that strengthen AI results, at the scale and quality you need. Contact us today to get started with an AI data collection program built around your model.
- Access 1.5M+ contributors across 200+ countries and territories, across every major data type and language
- Get a custom team with the right demographic mix, domain expertise and credential requirements for your specific use case
- Collect text, audio, image, video, communications and content in the format your pipeline requires
- Reduce bias in your training data with contributors recruited to reflect your actual user base
- Receive data with a >98% acceptance rate, quality-reviewed before it reaches your team
Dive Deeper Into Digital Quality
From customer stories to expert insights, our Resource Center offers a deeper look at how we approach digital quality.