Train, evaluate and improve your

Data collection, annotation, model evaluation and RLHF  powered by a network of 1M+ global experts.
Data labeling and annotation services
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Trusted by leading generative AI teams, public companies, and startups

Our services

Whether you're building your own models or fine-tuning foundation models, Twine AI has a network of experts to collect, annotate, evaluate, and deliver high-quality video, speech, text, audio, and image data.
Data annotation and labeling services

Data collection & labeling

Build or fine-tune models with custom datasets, labelling, and RLHF. Adapt any model to your use case with tailored training data, expert annotation, and human evaluation.
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Voice recording software audio datasets to train machine learning

Experts in the loop

Foundation models need expert human judgment. Our global network of experts includes over 1M+  domain experts, linguists, and tech professionals who evaluate model outputs with real-world context.
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Scale & speed, on demand

Tap into  1,000,000+ vetted participants in 190+ countries and 160+ languages for data collection, annotation, and evaluation at an unparalleled scale.
Benefits of Twine AI

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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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.

Off-the-shelf datasets

CityScapes Dataset
Cityscapes is a large-scale urban street-scene dataset with stereo video and high-quality pixel-level annotations, built for benchmarking semantic segmentation, instance segmentation, and panoptic scene understanding for autonomous driving and smart-city computer vision.
VoxCeleb
VoxCeleb is a large-scale audio-visual speech dataset built from YouTube interview clips, widely used to train and benchmark deep speaker recognition models for speaker verification, speaker identification, and robust “in-the-wild” voice AI.
Casual Conversations Dataset
Casual Conversations is a large scale multimodal (video + audio) benchmark dataset built to evaluate and audit computer vision and speech models for accuracy across diverse ages, genders, apparent skin tones, and lighting conditions.

Why should I get ethical data?

Ethical data collection has become critical for reliable AI models and regulatory compliance

Bias Reduction

Biased data creates unreliable models. We engineer diverse datasets to minimize bias and improve model performance across all user groups.
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Informed Consent

All participants understand how their data will be used and explicitly agree to participate. We ensure full consent compliance to protect your legal exposure and maintain trust.

Data Provenance

Track exactly where your data originated and how it was collected. Complete data lineage ensures audit compliance and protects against unreliable data sources.

Customer case studies

We've worked with some of the world's leading AI startups and corporations.

Frequently asked questions

Quick answers to help you get started.
What makes your data "customized"?

Your dataset is created specifically for your requirements, no generic data. Participants follow your exact specifications.

How much does it cost?

The cost is based on the number of unique participants you require and how much work they need to do.

We work with clients on a rolling monthly subscription, so you can cancel or pause at any point. Payments can be made by credit card or invoice, depending on the size of the project.

Do you have examples?

We can create samples if you contact us. We also have our dataset marketplace.

What does my Project Manager do?

Creates procedures, writes instructions, sources expert annotators, ensures quality, and serves as your single point of contact.

What is “training data” in machine learning?

Data that is used to train AI models to make predictions. Can include images, text, audio, or structured data. Quality training data determines how well your AI performs.

What is data labeling?

Adding tags to raw data (images, text, audio) so AI models learn to recognize patterns. Quality labeling determines model accuracy.

What is ethical data collection?

We secure informed consent from all participants who understand exactly how their data will be used. We strictly follow GDPR compliance and documented consent for every project.

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Other Twine AI Services

Audio datasets:
We create speech datasets across demographics including gender, language, location, dialect, accent, and age. We can also use professional voice actors with professional recording studios. Learn more.

Video datasets:
We can build long-range biometric video datasets or close range facial or emotion datasets. We help you reduce bias by recruiting demographics to reduce bias in your data such as gender, ethnicity, age, and facial distinctions (eye colour, glasses, etc). Learn more.

Data Processing:
Outsource tasks at scale using Twine AI. If you’d like to use our transcription services, we can provide that too.
Consulting:
We’ve worked with some the leading AI companies in the world and seen what works and what doesn’t.

Recruitment:
We can hand you over to our Twine team to help recruit consultants and experts in engineering, marketing and creative aspects,

Other AI resources:
Our Twine Blog has its own AI category. We have an article on 100+ Open Audio and Video Datasets, 100+ Speech Dataset. Also follow our Twine AI LinkedIn page for the latest news in the AI/ML space.