Defined.ai logo - Conversational AI brand identity

Defined.ai (2026)

Formerly known as DefinedCrowd

Expert Reviewed
by Dr. William BobosLast reviewed: Sep 21, 2026

AI Training Data Platform for Enterprise AI

Monthly users
253K
Pricing
Enterprise
Platform
Web App
Best for
Software Developers / Business Executives

Overview

Defined.ai (formerly DefinedCrowd) is an enterprise AI training-data platform providing multilingual, multimodal datasets, data labeling, annotation, and validation with human-in-the-loop quality and compliance for machine learning and generative AI.

Defined.ai Conversational AI showing Conversational AI - AI Training Data Platform for Enterprise AI

Facts & Trust

Pricing Details
Contact DefinedCrowd for pricing information tailored to your needs.

Monthly Active Users
253K
Global Rank
#148,191

Figures above in this panel are rounded for quick orientation. Sign in for exact visits, rank breakdown, and engagement metrics.

Country Rank
Category Rank
Bounce Rate
Pages per Visit
Average Visit Duration

Platforms
GDPR Compliant
No
NSFW
No
Accessibility
Requires Authentication

Input Formats
Raw text, audio, image, and video data submitted for annotation, labeling, or validation by Defined.ai's data workforce.
Output Formats
Labeled/annotated datasets, validated data, and structured training-data exports for ML/GenAI model training.
SDKs
Python
JavaScript/TypeScript
Hosting
Global
Integrations
API
Supported Languages
Multiple languages

Company
Defined.ai
Country
Open Source
No
Last Updated
September 21, 2026

Key Features

Context-aware conversations

Multi-turn conversations feel natural, like talking to a knowledgeable colleague. Defined.ai plugs into API so data stay

Client libraries available

Type-safe SDKs provide autocomplete and compile-time checks for faster development.

Data-driven decision support

Defined.ai consolidates data to expose actionable insights quickly.

Expert Insight

Dr. William Bobos

Dr. William Bobos has reviewed Defined.ai for Conversational AI. This tool is particularly well-suited for AI tools use cases, making it a strong choice for software developers in this field.

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About Defined.ai

AI Training Data Platform for Enterprise AI

Defined.ai is a conversational ai tool developed by Defined.ai (PT) designed for software developers, business executives and entrepreneurs. Defined.ai (formerly DefinedCrowd) builds AI training data for enterprise machine learning and generative AI teams. It combines a global, human-in-the-loop data workforce with quality and compliance controls to deliver multilingual, multimodal datasets — including data labeling, annotation, transcription, and validation — for clients such as Adobe, Amazon, Google, Meta, and OpenAI. With over 253K monthly visits, Defined.ai has established a significant user base. The tool operates on a enterprise pricing model. It is available on Web App. Developer integration is supported through Python and JavaScript/TypeScript SDKs. Defined.ai integrates with API. Defined.ai offers Global hosting. Explore more conversational ai tools or browse all categories.

Defined.ai Snapshot

Key facts we track so you can judge fit before visiting the provider.

Primary category
Conversational AI
Best fit
Software Developers, Business Executives, Entrepreneurs +2 more
Platforms
Web App
Pricing signal
Enterprise
Provider context
Defined.ai - PT
Known integrations
API
Developer access
Python, JavaScript/TypeScript
Data handling
Global hosting, Privacy policy linked

Before you choose Defined.ai

  • Confirm Defined.ai's current limits, renewal terms, and seat pricing on the official site.
  • Review privacy, retention, and data-processing terms before using sensitive data.
  • Test the integrations or API path against one real workflow before rollout.
  • Make sure the supported platform matches where your team actually works.

Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.

How Defined.ai Works

Understanding the core functionality and approach of Defined.ai.

Insights power every workflow inside Defined.ai. Decision-makers get real-time context instead of waiting for manual reports. Defined.ai can support reporting workflows, but teams should validate source data and export options.

Key Features

Explore what makes Defined.ai stand out.

Context-aware conversations

Multi-turn conversations feel natural, like talking to a knowledgeable colleague. Defined.ai plugs into API so data stays in sync.

Client libraries available

Type-safe SDKs provide autocomplete and compile-time checks for faster development.

Data-driven decision support

Defined.ai consolidates data to expose actionable insights quickly.

Use Cases

Discover how different audiences leverage Defined.ai.

Software Developers

Automated help desk

Escalate complex queries to human agents seamlessly when needed.

Business Executives

AI-assisted education

Students get instant explanations and tutoring support outside of classroom hours. Currently optimized for Web App.

Software Developers

Scale support operations

Agents resolve issues faster because context and recommended responses are surfaced instantly. Support teams should test Defined.ai on real tickets to measure answer quality, handoff accuracy, and SLA impact.

FAQ about Defined.ai

What is Defined.ai and what does it do?

Defined.ai is AI Training Data Platform for Enterprise AI. Defined.ai (formerly DefinedCrowd) is an enterprise AI training-data platform providing multilingual, multimodal datasets, data labeling, annotation, and validation with human-in-the-loop quality and compliance for machine learning and generative AI. Available on Web App, Defined.ai is designed to enhance productivity and deliver professional-grade conversational ai capabilities.

How much does Defined.ai cost?

Defined.ai offers Enterprise pricing options. Contact DefinedCrowd for pricing information tailored to your needs. Pricing is designed to scale with your needs, from individual users to enterprise teams. For the most current pricing details and plan comparisons, visit the official Defined.ai pricing page or contact their sales team for custom enterprise quotes. Browse AI tools by pricing model to compare options.

Is Defined.ai secure and compliant with data privacy regulations?

Defined.ai takes data privacy seriously and implements industry-standard security measures. Data is hosted in Global, providing transparency about where your information resides. For comprehensive details about data handling, encryption, and privacy practices, review their official privacy policy. Security and compliance are continuously updated to meet evolving industry standards.
What platforms does Defined.ai support?
Defined.ai is available on Web App. The web application provides full functionality directly in your browser without requiring downloads. This multi-platform approach ensures you can use Defined.ai wherever and however you work best.
What file formats does Defined.ai support?
Defined.ai accepts Raw text, audio, image, and video data submitted for annotation, labeling, or validation by Defined.ai's data workforce. as input formats, making it compatible with your existing files and workflows. Output is delivered in Labeled/annotated datasets, validated data, and structured training-data exports for ML/GenAI model training., ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines.
Who develops and maintains Defined.ai?
Defined.ai is developed and maintained by Defined.ai, based in PT. Most recently updated in September 2026, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures Defined.ai stays competitive and aligned with industry best practices.
How do I get access to Defined.ai?
Defined.ai is requires user registration and authentication for access. Create an account through the official website to begin your onboarding process.
How is usage measured and billed in Defined.ai?
Defined.ai uses API Calls as billing metrics. API-based billing tracks the number of requests made to the service, providing predictable costs for developers. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does Defined.ai offer?
Defined.ai supports Cloud deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.
Who is Defined.ai best suited for?
Defined.ai is primarily designed for Software Developers, Business Executives, Entrepreneurs and Remote Workers. Professionals in conversational ai find it invaluable for streamlining their daily tasks. Whether you need automation, creative assistance, data analysis, or communication support, Defined.ai provides valuable capabilities for multiple use cases and skill levels. Check out our developer guide for more recommendations.

Stay updated with the latest news and insights about Defined.ai and the AI industry.

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Google DeepMind launched Gemini 3.8 Live and 3.8 Live Extended Thinking on September 15, 2026. These new speech-to-speech models for voice agents offer advanced conversational AI at a lower cost than OpenAI's GPT-Live-1, making them a competitive option for developers and enterprises.
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Providers can update product facts, pricing context, screenshots, and launch notes. Paid placements are labeled separately and do not replace editorial or data-quality review.

How to Evaluate Defined.ai

Use this page to evaluate Defined.ai alongside similar conversational ai tools in our alternatives overview. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.

  1. Step 1Test Defined.ai with one real workflow before moving important work into it.
  2. Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
  3. Step 3Verify the integration path with your existing stack before you commit.
  4. Step 4Review privacy, retention, and compliance terms before using sensitive data.

For developer teams, inspect the Python SDK and JavaScript/TypeScript support. For broader context, browse more conversational ai tools for software developers, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.

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