Defined.ai
Defined.ai · Coding · Business
Defined.ai is a training data platform and marketplace for AI teams, blending ethically sourced datasets with human annotation, collection, and evaluation services.
About Defined.ai
What Is Defined.ai
Defined.ai is an AI training data company and marketplace, and it sells the raw material most model builders run short on. You buy ready-made speech, text, image, and video datasets, or you commission custom collection and annotation work, and the company handles consent, sourcing, and quality control along the way. The product started life as DefinedCrowd in 2015, and it's one of the better-known names in the enterprise data space, alongside players like Scale AI and Appen.
What separates it from a plain data vendor is the combination of marketplace and services. The catalog covers audio, image, video, text, and multimodal data, delivered through an API, so a team can pull a Portuguese speech set today and order a custom medical transcription batch next month without switching suppliers. Underneath sits a crowd of more than 1.6 million contributors across 150+ countries and 500+ languages, which is the part that makes low-resource languages and regional accents possible at all.
The main catch is that this is an enterprise product, not a self-serve tool. There's no consumer subscription and no flat price list. You contact sales, scope a project, and pay per dataset or per project, with academic access as the one discounted lane. Small teams and hobbyists will find the entry point steep, and refunds aren't offered. Free samples do let you inspect the data before you buy.
Getting Started
- Create a workspace on defined.ai to browse the marketplace and grab free dataset samples.
- Search the catalog by format, language, or use case, then download a sample to check structure and metadata.
- For anything not listed, send a custom collection or annotation request through the sales team.
- Place an order once scope and price are set. Standard purchases deliver as soon as payment clears, usually in 2 to 3 business days.
- Wire the delivered datasets into your pipeline, or pull them through the API for repeated access.
Product Information
A quick look at Defined.ai's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Machine learning teams
- Speech and language researchers
- Enterprise AI buyers with compliance needs
Tasks
- Buying off-the-shelf training data
- Custom data collection
- Data annotation and labeling
- Model evaluation
Scenarios
- Building a voice assistant in a low-resource language
- Launching in a new region
- Passing a compliance review
Key features
Marketplace of Ready-Made Datasets
The marketplace holds one of the larger catalogs of ethically sourced AI data, and its multilingual data spans audio, image, video, text, and multimodal formats. Everything is delivered through an API, so you can drop a new dataset into a pipeline without a manual file handover. Free samples let you check the structure and metadata before committing to a purchase.
Custom Data Collection
When the catalog doesn't have what you need, Defined.ai runs a custom collection against your spec. You define the demographic, language, accent, or domain, and the team sources contributors who fit. That's the path for niche medical, financial, or regional datasets that never show up off the shelf.
Human Annotation and Labeling
Annotation work covers text, audio, image, and video, with expert review and model-in-the-loop workflows to catch errors early. You get transcription, tagging, and labeling done by a workforce that has passed quality checks, rather than raw crowd output with no oversight.
Model and Data Evaluation
Defined.ai tests models and datasets for accuracy, fairness, and bias before they reach production. For teams under regulatory pressure, that evaluation step turns into the evidence they need to show a model behaves the same across demographics.
Global Crowd of 1.6M+ Contributors
More than 1.6 million contributors work across 150+ countries and 500+ languages, dialects, and locales. That reach is what makes low-resource languages and hard-to-find accents real options instead of wishlist items.
Compliance and Ethical Sourcing
The company holds ISO 27001, 27701, and 42001 certifications and works to GDPR and HIPAA requirements. These ethical AI datasets come from contributors who consent through clear terms, and personal data is anonymized, which gives buyers a defensible story on where the data came from and how it was collected.
Pros and cons
Pros
- The marketplace and custom services sit in one place, so a team can buy a dataset and order bespoke collection without changing suppliers.
- Coverage of 500+ languages and 1.6M+ contributors is rare, and it opens up speech and text work for smaller markets.
- ISO 27001, 27701, and 42001 certifications plus GDPR and HIPAA alignment make procurement and legal reviews easier.
- Free dataset samples and a perpetual license let you inspect data first and commercialize whatever model you build on it.
Cons
- There's no self-serve pricing or consumer plan, so you have to go through sales before you can buy anything.
- Free samples differ in metadata completeness from the full dataset, so what you see isn't always exactly what you get.
- No refunds are offered, which raises the stakes on getting scope right the first time.
- Standard delivery takes 2 to 3 business days after payment clears, which is slow for teams on tight deadlines.
Frequently asked questions
Defined.ai supplies training data and related services for AI projects. Teams buy speech, text, image, and video datasets from the marketplace, or commission custom collection, annotation, and model evaluation work.
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