Encord records 244,204 monthly visits with +9.4% month-over-month growth and Contact for Pricing pricing. Markup: Document Annotation records 263 monthly visits with -17.8% growth and Free pricing.
The multimodal data layer for computer vision and physical AI teams
Turn free text into structured, model-ready data with AI-assisted annotation.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | encord.com | getmarkup.com |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 244.2K (244,204) | 263 (263) |
| MoM Traffic Delta | +21.04K (+9.4%) | -57 (-17.8%) |
| Primary Market & Share | 🇺🇸 United States (41.6%) | 🇹🇷 Türkiye (100%) |
| Direct Visits / mo | 104.13K | 109 |
| User Rating | 4.4 | 4 |
| Supported Platforms | Website | Website |
The multimodal data layer for computer vision and physical AI teams
Native video, image, LiDAR, audio, text, and sensor-fusion labeling in one workflow, with label lineage and quality controls built for production scale.
Use embedding-based search and model-in-the-loop curation to surface rare edge cases and close distribution gaps before they hurt model performance.
Orchestrate RLHF, rubric-based evaluation, and pairwise comparison for models in production, then route failures back into training.
Access vetted domain experts for annotation and training-ready data collection, fully integrated with the Encord platform.
Turn free text into structured, model-ready data with AI-assisted annotation.
Mark up documents and free text to extract names, entities, relationships and fields into clean tabular or JSON output.
Built for NLP and ML workflows, so exported datasets plug into model training pipelines without heavy reformatting.
AI assistance proposes labels and extractions to reduce repetitive manual work, while you keep final control over correctness.
An interactive demo lets you test the annotation flow before committing to a full project setup.
Free / Open-sourceFaster setup and model deployment for computer vision, but less advanced enterprise data infrastructure features.
Free / Open-sourceFaster setup and model deployment for computer vision, but less advanced enterprise data infrastructure features.
Stronger enterprise workflow automation and agentic labeling, but less specialized in complex physical AI video pipelines.
Stronger enterprise workflow automation and agentic labeling, but less specialized in complex physical AI video pipelines.
Human-validated training data and evaluation services for frontier AI models
Free / Open-sourceTurn any document into AI-ready context with agentic parsing and extraction
Free / Open-sourceTurn any document into AI-ready context with agentic parsing and extraction
AI data infrastructure for building production-grade models
AI data infrastructure for building production-grade models
SpecialistVideo data infrastructure for physical AI and robot training
SpecialistVideo data infrastructure for physical AI and robot training
Free / Open-sourceLabel any data. Evaluate any AI.
Free / Open-sourceSuperior visual dataset search and quality evaluation capabilities, but relies more on programmatic workflows.
Free / Open-sourceSuperior visual dataset search and quality evaluation capabilities, but relies more on programmatic workflows.
AI workflow platform for document-heavy back-office operations
SpecialistThe open-source data layer for robotics and physical AI
Parse emails, PDFs, and documents into structured JSON with LLM-powered extraction
Parse emails, PDFs, and documents into structured JSON with LLM-powered extraction
Provides end-to-end model training alongside annotation, but with a narrower focus than Encord's physical AI platform.
Provides end-to-end model training alongside annotation, but with a narrower focus than Encord's physical AI platform.
