Defined.ai
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About
Defined.ai is a comprehensive platform providing high-quality, ethically sourced training data for artificial intelligence projects. It acts as a bridge between data creators and AI developers, offering a marketplace where users can browse, customize, and purchase datasets. The platform supports a wide array of data types, including speech, text, image, and video, catering to industries such as conversational AI, machine translation, and model evaluation. By focusing on ethical sourcing and strict data privacy, the tool ensures that the foundation of AI models is built on responsible and legally compliant information. The platform operates through a multi-step process: browse, customize, select, and train. Users can apply advanced technical filters to find datasets that match specific requirements like file format, bit depth, or sample rate. Beyond the marketplace, Defined.ai offers specialized services such as custom data collection, data annotation, and machine translation. Their human-in-the-loop ecosystem, Neevo.ai, utilizes a global crowd of contributors to provide high-quality human intelligence for data labeling and validation. This ensures high accuracy and provides the necessary ground truth for complex machine learning tasks. This tool is primarily designed for AI researchers, data scientists, and machine learning engineers working at technology companies of all sizes, from startups to global leaders like Google, Meta, and OpenAI. It is particularly beneficial for those developing natural language processing (NLP) or speech recognition systems, as the platform covers over 70 languages and many underrepresented dialects. Academic researchers also benefit through specialized licensing and discounts, while enterprises can leverage the API documentation for seamless integration into their existing development pipelines. What sets Defined.ai apart is its unwavering commitment to ethical data practices and transparency. Unlike many data providers, they offer a fair pay policy for their contributors and maintain rigorous compliance with GDPR and ISO 27001 standards. Their datasets include detailed metadata and offer various speech types, such as Spontaneous IVR data, Dialogue data, and Scripted Monologue, providing a level of variety and technical specificity rarely found in general-purpose datasets. Additionally, their marketplace model allows for both the purchase of off-the-shelf data and the commissioning of highly specific, custom-collected assets.
Pros & Cons
Covers over 70 languages and 120 global markets with high-quality data.
Maintains ISO 27001 certification and full GDPR compliance for data security.
Offers a fair pay policy for contributors, ensuring ethical sourcing standards.
Provides diverse audio formats including spontaneous dialogue and scripted monologues.
Allows users to request custom subsets based on age, gender, and accent requirements.
The platform does not offer refunds once data has been purchased.
Standard payment options are restricted to USD via ACH bank transfers.
Metadata completeness can vary across different parts of a single dataset.
Custom collection and packaging requests may require longer lead times for delivery.
Use Cases
Machine learning engineers at tech enterprises can source niche, ethically-labeled datasets for training NLP models in underrepresented languages.
Academic researchers can access high-quality training data at significant discounts or for free to support non-commercial AI studies.
Product managers in telecommunications can commission custom IVR data to improve the accuracy and naturalness of voice-controlled support systems.
Data scientists can utilize advanced filters to find datasets with specific technical parameters like sample rate and bit depth for model optimization.
Conversational AI developers can purchase dialogue data to train agents on spontaneous human interactions rather than just scripted text.
Platform
Task
Features
• support for 70+ languages
• api for data delivery
• advanced dataset filtering
• spontaneous ivr and dialog recordings
• iso 27001 and gdpr compliance
• custom data collection services
• human-in-the-loop data annotation
• ethical training data marketplace
FAQs
Where do the participants for the datasets come from?
Defined.ai sources contributors through organic and paid channels, leveraging self-owned channels, 3rd party ads, and local partnerships. This allows for targeting specific demographics and skill sets across global markets.
Is the data compliant with privacy laws like GDPR?
Yes, the platform is GDPR compliant and ISO 27001 certified. All contributors give consent to Terms of Use and Privacy Policies, and personal information is automatically anonymized upon account deletion.
Can I get a sample before purchasing a large dataset?
Free samples are available for instant download on the website. These samples have a structure identical to the full dataset to help you make an informed decision before buying.
What types of speech data are available for training?
The marketplace offers Scripted Monologue (on-device recordings), Spontaneous Dialog (recorded via telephony), and Spontaneous IVR data. These include various bit depths and sample rates like 8khz or 16khz.
How long does delivery take for a purchased dataset?
Standard assets are delivered via file transfer or API as soon as payment is cleared. For ACH bank transfers, this generally takes 2-3 business days.
Does Defined.ai offer discounts for research?
Yes, they provide significant discounts or even free datasets for Academia. Interested parties must contact the team for due diligence before receiving a promotional code.
Pricing Plans
Academic
Unknown Price• Significant discounts for researchers
• Potential for free datasets
• Commercialization of built models
• Perpetual data license
Marketplace Purchase
Unknown Price• Ethically sourced datasets
• Perpetual commercial license
• Multiple audio types (IVR, Dialog)
• Volume discounts available
• Secure file transfer or API delivery
Free Samples
Free Plan• Instant sample download
• Evaluation of data structure
• Metadata preview
• Access to marketplace filters
Job Opportunities
AI/ML Sales Executive, Enterprise (US)
Access ethically sourced, high-quality AI training data and expert annotation services to build responsible models faster across 70+ languages and global markets.
Benefits:
Flexible working schedule and hybrid model
Excellent career development opportunities
Culture of feedback and continuous improvement
International and diverse team
Continuous training opportunities
Education Requirements:
Bachelor's degree and or equivalent
Computer Science / Engineering background
Experience Requirements:
6+ years of proven experience in B2B Enterprise Sales
Proven sales executive experience meeting or exceeding targets
Strong ability to close complex deals above $1M
Knowledge in AI/ML
Technical Sales experience
Other Requirements:
Proficient with Salesforce / CRM and MS Office
Ability to communicate, present and influence all levels of the organization
Able to analyse high value potential customers within assigned verticals
Strong ability to negotiate and close high value deals
Proven ability to drive the sales process from plan to close
Responsibilities:
Hunting for new logos in assigned Enterprise verticals
Managing enterprise and or strategic customers
Creating organic revenue streams with solutions and customer success teams
Supporting and collaborating with internal partners for POCs and RFPs
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