Encord

Description

Encord is a scalable enterprise platform for managing, curating, and annotating petabytes of unstructured multimodal data, including images, videos, audio, text, DICOM, and LiDAR. It features AI-assisted labeling with tools like SAM 2, GPT-4o, Whisper, and human-in-the-loop workflows, enabling precise annotations for complex tasks such as speech-to-text with speaker identification and emotions. With SOC2, HIPAA, GDPR compliance, cloud integrations, and collaborative tools, Encord drives significant gains in annotation accuracy, model performance, and cost savings for production AI. Perfect for enterprise teams in computer vision, robotics, healthcare, and multimodal AI needing robust data pipelines.

Key capabilities

• Scalable management, curation, and annotation of petabytes of multimodal data (images, videos, audio, text, DICOM, LiDAR)
• AI-assisted annotation (SAM 2, GPT-4o, Whisper) with human-in-the-loop workflows
• Enterprise-grade security (SOC2, HIPAA, GDPR)
• Integrations with AWS, GCP, Azure, and MLOps tools via API/SDK
• Precise audio annotation including timestamps, overlapping speakers, speaker ID, emotion metadata
• Collaborative workflows with real-time tracking and quality control

Core use cases

1. 1.Computer vision model training
2. 2.Robotics AI development (e.g., Pickle Robot)
3. 3.Automotive AI for parking and monitoring (Automotus)
4. 4.Retail computer vision (Standard AI)
5. 5.Speech-to-text and ASR data pipelines (contact centers, transcription, sentiment analysis)
6. 6.Healthcare imaging and documentation

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