Defined.ai

Defined.ai is the leading provider of ethical AI data, offering the world’s biggest ethical AI data marketplace alongside subscriptions for flexible data access and custom services. With deep expertise in artificial intelligence and machine learning, Defined.ai delivers high-quality, ethically sourced training data, enabling companies to accelerate their AI solutions with data that is secure, bias-free, and compliant with ethical and legal standards. Founded by Daniela Braga, PhD, in 2015, Defined.ai has earned recognition in top-tier outlets, including Forbes, Fortune, Gartner, CB Insights, and Inc., and has received numerous awards, with appearances on prestigious lists like Forbes AI 50, Deloitte Fast 100, and Inc. 500. The company has raised over $80 million in funding and is headquartered in Seattle, WA, USA, with additional offices in Lisbon, Portugal.

http://www.defined.ai

51-200 employees

Growth Trajectory

Defined.ai's growth potential lies in expanding its Generative AI datasets, broadening its marketplace offerings, and scaling its professional services to meet the increasing demand for high-quality, ethically sourced AI training data. Investment in custom data solutions and a focus on AI Avatars & Voice Bots and ethical AI position them for continued market expansion, particularly with European businesses and governments.

Technical Challenges

Ensuring data quality and validation

Improving sentiment analysis accuracy for nuanced text

Addressing LLM hallucinations

Eliminating toxic or offensive content in generative AI outputs

Managing and processing large volumes of data

Integrating AI solutions into various applications

Maintaining security and privacy (GDPR compliance and ISO-27001 certification)

Machine translation quality assessment for e-commerce in niche language pairs

Tech Stack

NLPMachine LearningCloudflareHubSpotOAUTHSAMLNeevo PlatformAccelerat.aiAI models

Team Size

AI Professionals

Data Scientists

Annotators

Professional Services Team

Partnerships Team

Key Risks

Competition in the AI data marketplace could impact pricing and market share.

Maintaining ethical data collection practices at scale poses operational and reputational risks.

Evolving data privacy regulations (e.g., GDPR, CCPA) may increase compliance costs and complexity.

AI models struggling with understanding sentiment, sarcasm, and nuance in text which could affect the accuracy of sentiment analysis.

Ensuring data quality and accuracy through rigorous validation can be technically challenging.

Opportunities

Leveraging their focus on ethical AI to attract customers seeking responsible AI solutions.

Expanding their marketplace to include a wider range of AI tools and models.

Offering specialized data annotation services for emerging AI applications like generative AI and medical image analysis.

Partnering with AI tool and model developers to integrate their solutions into the Defined.ai marketplace.

Capitalizing on the growing demand for custom datasets tailored to specific industry needs.

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