Encord

Streamline AI development with an integrated platform for data labeling, curation, and model evaluation.

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Enhance model performance by refining training data and implementing structured evaluation workflows.

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Streamline the management and curation of large datasets to enhance AI model training accuracy.

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Automate AI data pipelines by integrating human and model tasks for efficient multimodal dataset management.

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Acquire training-ready data for Physical AI through expert-driven collection protocols and real-world environments.

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Comprehensive data management solution for physical AI applications, enhancing model accuracy and deployment efficiency.

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Accelerate AV and ADAS development with managed annotation and quality control.

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Streamline robotic data management and annotation for efficient AI training.

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Streamline Autonomous Navigation And Inspection With Geospatial-Optimized Multi-Sensor Data Management.

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Enhance AI capabilities in complex physical environments through expert data annotation and management.

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Streamline healthcare data management and annotation with compliance-ready solutions.

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Enhance surgical AI development with efficient video annotation and compliance.

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Streamline ID verification with comprehensive annotation and fraud detection tools.

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Enhance urban safety and efficiency through advanced video intelligence solutions.

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Accelerate performance insights and game analysis with fast, accurate sports data annotation.

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Streamline audio AI workflows with seamless annotation and quality assurance.

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Streamline generative AI projects with efficient data management and evaluation workflows.

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Domain-expert data collection, cleaning, annotation, image enhancement, and multi-layer quality assurance to produce training-ready datasets for ML models.

Products: Encord Platform, Data Agents, Autonomous Vehicles & ADAS, Drones & Aerial Autonomy, Robotics & Humanoids, Voice AI, Surgical Video, ID Verification, Industrial & Manufacturing, Sports AI, Healthcare, Frontier & Generative AI

End-to-end data acquisition and validation with human-in-the-loop collection, secure ingestion, and multi-tier validation to produce representative, production-ready datasets.

Products: Data Collection, Autonomous Vehicles & ADAS, Robotics & Humanoids, Drones & Aerial Autonomy

Embedding search, custom metadata, provenance, versioning, and compliance controls to organize, curate, and govern large multimodal datasets for reproducible training.

Products: Data Indexing & Curation, Encord Platform, ID Verification, Healthcare, Smart Cities & Security

Post‑training evaluation and alignment workflows including rubric‑based scoring, pairwise comparisons, RLHF feedback loops, and evaluation dashboards to measure and refine model behavior.

Products: Post-training alignment, Encord Platform, Frontier & Generative AI, Data Agents, Voice AI

Perception, lane and sign detection, defect detection, and dataset management for self-driving vehicles, delivery robots, and robotic navigation systems.

Products: Autonomous Vehicles & ADAS, Drones & Aerial Autonomy, Robotics & Humanoids, Data Collection

Encord Platform

Encord Platform is an end-to-end data infrastructure that enables AI teams to manage, label, curate, evaluate, and deploy multimodal datasets at scale within a secure environment. It combines data lifecycle management, governance, and native cloud workflow integrations to accelerate model development from data to deployment.

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• Integrate All Data Processes
  Simplify your workflow by managing all data lifecycle stages in one cohesive platform for improved efficiency.
• Ensure Data Compliance
  Maintain rigorous data governance and security standards essential for handling sensitive information responsibly.
• Utilize Diverse Data Types
  Handle different data formats seamlessly, optimizing the use of diverse datasets for AI applications.
• Accelerate AI Model Development
  Employ AI mechanisms to enhance annotation speed and accuracy, ensuring high-quality training data.
• Speed Up Annotation Processes
  Improve efficiency and accuracy in annotation with AI-driven labeling tools.
• Enhance Data Preparation
  Leverage expert-integrated pipelines for effective data annotation and curation, enabling efficient scaling.
• Optimize Project Management
  Customize and refine workflows to enhance collaboration and completion timelines effective for large teams.

Post-training alignment

Evaluation and alignment of models after training, using rubric-based assessment, pairwise comparisons, and RLHF-style feedback to improve model behavior.

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• Refines Model Behavior
  Utilizes human feedback to continuously improve model responses and accuracy.
• Enhances Model Choice
  Facilitates informed decisions on the best model based on direct comparisons of performance.
• Standardizes Assessment
  Delivers consistent evaluations of model outputs through defined scoring metrics.
• Tailors Evaluation Processes
  Enables customizable workflows for evaluating and aligning model training data.

Data Indexing & Curation

Data indexing, curation, and governance to organize large multimodal datasets, with embedding-based search and dataset versioning to support reproducible training.

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• Ensure Data Integrity
  Data provenance and versioning support compliance and reproducibility throughout the AI development lifecycle.
• Enable Efficient Data Retrieval
  Utilize advanced search capabilities to quickly find specific data points within large multimodal datasets, enhancing productivity.
• Enhance Data Quality
  Regular analytics and quality assessments help maintain high standards for data used in AI model training.
• Centralize Data Handling
  Centralize all data types in one platform for enhanced accessibility and collaboration across team members.
• Tailor Data Tracking
  Customize metadata to suit project requirements, facilitating better organization and retrieval of data.

Data Agents

Orchestrate AI and human-in-the-loop workflows by integrating tasks with SOTA models and custom labeling, complemented by QA and governance hooks.

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• Massively Scale Throughput
  Effortlessly manage large datasets and improve throughput by automating the labeling process through integrated AI solutions.
• Streamline Data Preparation
  Empower your data workflows by using AI models to automate tedious tasks, enhancing efficiency and reducing manual input requirements.
• Adapt to Any Workflow
  Customize your data preparation processes through integration of various models tailored to your specific use cases.
• Accelerate Multimodal Annotation
  Utilize advanced prelabeling techniques to quickly generate high-quality labeled datasets across multiple data modalities.
• Enhance Labeling Efficiency
  Utilize intelligent routing to ensure that data tasks are handled by the most suitable resources, maximizing output quality and speed.

Data Collection

Structured data collection programs supported by in-field operators and specialized facilities, tailored to deployment needs.

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• Design Custom Protocols
  We collaborate with your team to design collection protocols that meet specific requirements, ensuring seamless data capture aligned with your AI model's needs.
• Implement Teleoperation Collection
  Utilize our experienced operators to perform complex tasks via teleoperation, maximizing efficiency in data capturing for training.
• Achieve Full Coverage
  Ensures extensive and diverse data collection, ready to be utilized directly in the training pipeline, addressing deployment challenges effectively.
• Capture Data On-Site
  Encord utilizes trained operators to gather vital real-world data across various settings, achieving higher fidelity in training signals for robotics and AI applications.
• Collect Egocentric Data
  We capture high-resolution first-person data using head and wrist cameras, ideal for training AI models in practical human-centric scenarios.
• Streamline Data Ingestion
  Automatically integrates collected data into our platform, eliminating traditional delays associated with data processing and preparation.

Physical AI Data

End-to-end data lifecycle for physical AI, from collection to deployment feedback, tailored for robotics and embodied AI programs.

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• Streamline Data Collection.
  Efficiently manage the entire data pipeline, ensuring high-quality datasets for training and validation.
• Enhance Flexibility.
  Enable diverse data sources and methodologies to improve model training and operational performance.
• Accelerate Data Preparation.
  Reduce manual workload and speed up the analysis cycle with automated tools.
• Capture Relevant Data.
  Gather high-fidelity data directly from deployment settings to inform model training.
• Facilitate Data Governance.
  Ensure compliance and efficient data management aligned with organizational policies.

Autonomous Vehicles & ADAS

Full data pipeline for autonomous driving and ADAS, including synchronized multi-sensor annotation and long-tail scenario curation.

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• Enhance Model Accuracy
  Collect complementary data from various sensors to create precise annotations across diverse driving conditions.
• Address Edge Cases
  Utilize embedding-based search to focus on rare edge cases, enabling models to perform well in diverse situations.
• Quick Scaling
  Access experienced annotators to meet high throughput demands, ensuring quality without the delays of internal resources.
• Reduce Manual Work
  Leverage automation tools to lessen manual intervention, accelerating the path from raw data to training-ready datasets.
• Expand Data Diversity
  Capture and label real-world data necessary for model training by leveraging expert data services.

Robotics & Humanoids

Robotics perception labeling and embodied AI data support for robotic manipulation and autonomous systems.

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• Facilitates Tailored Data Collection
  Encord’s solutions support the collection of comprehensive datasets, specifically designed to meet the needs of robotic systems and applications.
• Enhances Sensor Fusion
  Provides a unified interface for annotating multi-sensor data, facilitating the effective integration of various data modalities in robotic training.
• Enables Controlled Data Collection
  Leveraging teleoperation allows for accurate data collection in controlled settings, leading to higher quality training data.
• Consolidates Diverse Data Types
  The ability to annotate different sensor data types within a single framework streamlines the data preparation process for AI training.
• Leverages Domain Expertise
  Utilizing experienced annotators ensures high-quality labels, improving model training efficiency and accuracy.
• Improves Model Robustness
  Captures unique edge cases to strengthen model training, allowing for better performance in real-world applications.

Drones & Aerial Autonomy

Multi-sensor aerial data annotation with geospatial-native tooling for autonomous navigation and inspection. Encord provides a platform for managing multi-sensor datasets, ensuring quality and consistency across aerial data tasks.

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• Manage Diverse Data Types
  Seamlessly annotate various data types including RGB, thermal, multispectral, and LiDAR within a single unified platform to enhance model training.
• Enhance Data Precision
  Utilize geospatial-aware workflows designed specifically for large-area aerial scenes, improving data accuracy and relevance.
• Access Domain Expertise
  Utilize experienced annotators specializing in aerial and inspection workflows to ensure high-quality data labeling without the need for an in-house team.
• Close Coverage Gaps
  Systematically curate data based on altitude, weather, terrain type, or time of day to reduce production failures in novel environments.
• Streamline Quality Control
  Implement tailored workflows for anomaly detection and infrastructure safety to meet precision requirements in inspections.

Industrial & Manufacturing

High-volume video annotation and edge-case curation for industrial and retail environments, with managed data services.

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• Accelerate Video Annotation
  Empower teams to quickly process and annotate large volumes of video data, improving the speed of model training.
• Identify Rare Scenarios
  Enhance model reliability by recognizing and labeling edge cases that may disrupt performance.
• Ensure Accurate Annotations
  Deploy a multi-stage review process to maintain the highest quality in dataset labeling, minimizing errors.
• Customize Data Protocols
  Design structured collection methods to suit specific operational environments, ensuring data relevance and quality.
• Connect to any Cloud
  Integrate seamlessly with your current cloud storage to streamline data management without disruptions.

Healthcare

The AI data platform built for healthcare teams. From surgical video and DICOM imaging to clinical notes and EHR documents, Encord provides a compliance-ready platform for AI training data at scale.

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• Ensure Compliance
  Focus on model optimization and testing while ensuring all processes adhere to regulatory standards.
• Centralize Data Workflows
  Manage all types of healthcare data in one platform without the need for multiple tools.
• Streamline Regulatory Submissions
  Easily track changes and interactions for efficient compliance with FDA requirements.
• Scale Effortlessly
  Adapt the platform to your team’s needs, expanding from a few to thousands of annotators smoothly.
• Enhance Annotation Quality
  Utilize domain specialists to ensure high-quality annotations tailored to healthcare needs.

Surgical Video

Healthcare-focused annotation for surgical video datasets to support medical AI development.

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• Streamlines Surgical Data Management
  Integrates efficient workflows tailored for surgical video datasets, enabling better extraction of actionable insights and facilitating model training.
• Protects Patient Privacy
  Maintains strict compliance with HIPAA guidelines, allowing surgical teams to handle patient data securely and ethically.
• Enhances Contextual Clarity
  Allows annotations across different camera angles, ensuring consistent labeling and deeper insights into surgical procedures.
• Supports Regulatory Oversight
  Ensures that every label made can be tracked for accountability, crucial for clinical and regulatory scrutiny.
• Reduces Annotation Noise
  Identifies key segments of surgical recordings for targeted annotation, minimizing time spent on less relevant footage.

ID Verification

Annotate millions document images, video selfies, and biometric data in one place. Detect fraud edge cases before they reach production, supported by a robust data platform. Top ID verification teams leverage Encord for efficient privacy-preserving labeling and advanced search capabilities.

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• Integrate Custom Models
  Easily integrate your own OCR models, fraud classifiers, or embedding models, ensuring your intellectual property remains protected.
• Control Data Security
  Maintain strict data governance and compliance by deploying Encord's tools within your own secure environment.
• Optimize Annotation Focus
  Identify which images have the highest impact on model performance, allowing you to prioritize resources effectively.
• Simplify Annotation Processes
  Streamline your workflows by seamlessly comparing and analyzing multimodal data together.
• Maximize Signal Use
  Automatically refresh data sets as new inputs come in and focus on critical data within strict retention windows.

Smart Cities & Security

Video intelligence workflows for smart city and security use cases, with end-to-end labeling and QA.

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• Improves Safety and Efficiency
  Leverage advanced video annotation techniques to ensure enhanced safety in urban environments, helping municipalities monitor and respond to incidents in real time.
• Delivers Instant Insights
  Transform raw video footage into actionable insights swiftly, enabling prompt decision-making in urban security management.
• Facilitates Compliance and Transparency
  Every annotation action is documented and traceable, ensuring accountability and facilitating compliance with regulatory standards.
• Guarantees High-Quality Data
  Implement robust quality checks to uphold data standards, essential for reliable AI models in critical environments.
• Enhances Model Robustness
  Systematically curate edge cases to boost model performance and reliability in unpredictable urban conditions.
• Ensures Compatibility
  Easily integrate with current workflows, enabling a smooth transition to advanced analytical capabilities without disrupting existing operations.

Sports AI

Sports analytics labeling and event annotation to accelerate performance insights and game analysis.

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• Annotate Seamlessly
  Enjoy frame accuracy without re-encoding or lag, leading to efficient data labeling for performance improvements.
• Curate Efficiently
  Find critical scenarios like night games or edge cases using custom filters before annotation starts.
• Sync Footage Naturally
  Work with multiple camera angles without additional setup, crucial for complex broadcasts and tracking.
• Integrate Swiftly
  Utilize an API-first platform that connects easily with existing infrastructures, expediting adoption and minimizing downtime.

Voice AI

Voice and audio annotation workflows for ASR, speaker labeling, and emotion/sound event tagging.

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• Enhance Annotation Accuracy
  Utilize waveform-native annotation for detailed audio tagging, improving the accuracy of automated speech recognition and speaker identification.
• Monitor Annotation Quality
  Track and improve the performance of your audio models with sophisticated evaluation tools.
• Track Non-verbal Cues
  Identify and categorize non-verbal sounds, contributing to a richer understanding of audio contexts and improving model performance.
• Optimize Dataset Quality
  Ensure only the most relevant and high-quality audio files are chosen for annotation, enhancing model training efficiency.
• Broad Language Coverage
  Access teams experienced in multiple languages to meet your diverse language model needs efficiently.

Frontier & Generative AI

Data prep, annotation, and evaluation workflows tailored for frontier and generative AI use cases.

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• Enhance Model Accuracy
  Utilize tailored workflows to improve data labeling quality, optimally structure datasets, and refine evaluation processes, ensuring generative AI models produce reliable outputs.
• Achieve Speedy Annotations
  Accelerate labeling with automated workflows that allow for rapid data preparation and management, significantly reducing manual input and enhancing team productivity.
• Ensure Data Integrity
  Track data changes and evaluation history to enhance transparency and govern data quality in model training, leading to better compliance and trusted outcomes.
• Support for Diverse Data Types
  Seamlessly integrate various data types—videos, text, audio, and more—into a single platform, enhancing accessibility and simplifying the workflow for data scientists.