AI data validation & evaluation services

Ensure your LLMs and AI models are accurate, safe, and reliable with expert human validation across training data and model outputs.
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Expert human evaluation
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Multimodal & multilingual
Data labeling and annotation services
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Super fast delivery
Trusted by leading generative AI teams, public companies, and startups

Training data validation

Validate training data with expert human reviewers before it reaches your models. Check for accuracy, consistency, formatting, bias, and more.
Get your data validated
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AI model evaluation

Have experts rate and review AI model outputs for quality, safety, and domain correctness, using clear rubrics and real-world context instead of just benchmarks.

Ideal for: large language models, generative AI, voice AI and computer vision applications
Evaluate your model
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Experts in the loop

Our global network of 1M+ vetted specialists includes domain experts, annotators, linguists, safety reviewers, and technical professionals to validate and evaluate LLMs and other model outputs.

Whether you need creative, tech, legal, medical, or multilingual expertise, we match the right evaluators to each task.
Evaluate your model
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Audio & speech data evaluation

Evaluate ASR, TTS, and voice interactions with experts who check accuracy, clarity, and naturalness across accents, dialects, and real-world conditions.
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Here's what our customers say

"We're very happy with the videos. The results are great. Twine has exceeded our expectations, and we look forward to the next phase of our collaboration."
"Working with Twine AI has been an exceptional experience. Their ability to consistently deliver data and the level of service, professionalism, and dedication to understanding our needs set them apart."
-Ian Sherwin
Head of Data, Hypersurfaces
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5 star rating
108 reviews

How we work

1

Project Scoping

Define your project goals, data needs, and quality standards with a dedicated Project Manager.
2

Production & Management

We recruit, vet and train experts to work on your project. We run quality control workflows, and handle secure global payments.
3

Delivery & iteration

Your Project Manager ensures on-time delivery with continuous QA and flexible monthly billing, iterating based on your feedback.
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Twine
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How we can help you
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Experts in the Loop

Get direct feedback from professional model raters and 200+ domain experts to evaluate and fine-tune your models.
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Collection + Labeling

Access vetted experts, labelers, and annotators committed to accuracy. We handle instructions, QA and consensus.

Industries: Generative AI, IT & electronics, manufacturing, media, entertainment,  e-commerce, and more.

Global Experts at Scale

Leverage our 1,000,000+ vetted experts worldwide for data collection, labeling and evaluation at scale.

Roles include: Data scientists, AI engineers, linguists, voice actors, actors and 200+ specialized skills.

Security & Payments

Your data adheres to ISO 27001 standards and is GDPR compliant. We manage payments to thousands of experts globally, without extra overhead for your team.

Project Managed

Every data project is managed by an experienced Project Manager who ensures quality, timelines, and process improvement.

They manage automated workflow, task assignment, participant adherence, and host regular optimization meetings to keep the project on track.
AI and ML

Feedback Loop

Your Project Manager runs regular check-ins to review data, gather feedback, and improve the workflow.

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How do I find out more about Twine AI?

Other kinds of data we provide:

Speech data:
We can create speech datasets across a wide range of demographics including gender, language, location, dialect, accent, and age. We can also create speech datasets using professional voice actors who have their own recording studios. If you’d like to use our transcription services, we can convert speech to text in order to train your ML models. Learn more.

Video data:
We can work with long-range biometrics, meaning we create video datasets with participants at long distances from the camera. This can be across a wide range of demographics including gender, ethnicity, age, and body size. Alternatively, we can look at facial biometrics by working with participants at a close range. Whilst creating these types of video datasets, the demographics we can look at include gender, ethnicity, age, and facial distinctions (eye colour, glasses, etc).



Learn more about Twine AI and the other services we provide here.

Our other AI resources:

We like to keep our audience well informed on everything regarding data. Our Twine Blog has its own AI category, and within it, we have listicles of the highest-quality, open-sourced datasets out there right now. We have an article on 100+ Open Audio and Video Datasets, 100+ Speech Datasets, and listicles of datasets in almost every language you can think of!

We also have an AI Newsletter, which we send out to our AI/ML audience, providing them with the latest industry news.

Want to be in the loop on LinkedIn? Check out our Twine AI LinkedIn page, where we post our latest dataset listicles, and other exciting articles + media from the AI/ML space.