Multimodal data annotation for next-generation AI.
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Albert Schaper(Artificial Intelligence, AI Tools)
Albert Schaper endorses Encord for Data Analytics applications. Albert Schaper's knowledge of artificial intelligence makes this recommendation especially relevant for scientists seeking artificial intelligence tools.
Pricing: starts at $0 / month(Updated October 2025)
Free plan available, paid plans are subscription-based and user-based; pricing details require contact for exact USD amounts
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
The free tier from Encord gives scientists a no-risk introduction to data analytics capabilities. Free plans include fundamental features that enable basic use cases and learning. Upgrading unlocks premium functionality, better performance, and professional features designed for scientists with serious data analytics requirements.
Encord is a multimodal data annotation and management platform for AI teams, supporting text, image, video, audio, and medical data annotation. It streamlines machine learning workflows with AI-powered labeling, quality assurance, evaluation, and compliance capabilities for generative and physical AI applications.
Understanding the core functionality and approach of Encord.
Encord meters activity so invoices mirror real adoption instead of seat assumptions. Experiments can scale without renegotiating budgets every quarter. Usage-based billing keeps costs aligned with real adoption.
Explore the powerful features that make Encord stand out.
Webhook and API support keep Encord aligned with bespoke internal processes. Automation handles the repetitive work so teams can focus on strategy.
SDKs for Python and JavaScript/TypeScript remove boilerplate and shorten the path to production.
Trigger-based flows keep work moving without extra check-ins. Automation handles the repetitive work so teams can focus on strategy.
Discover how different audiences leverage Encord for their specific needs.
With SDKs and webhooks, engineers connect Encord to deployments, CI/CD, and monitoring pipelines. Automation handles the repetitive work so teams can focus on strategy.
Stakeholder alignment happens faster when everyone sees the same data and insights.
Bots, rules, and triggers ensure nothing gets stuck in manual queues. Integrations with Plugin/Integration keep work connected.
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Use this page as a starting point to evaluate Encord alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to Encord and the broader ecosystem over time.
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