Encord

Encord is the comprehensive data development platform designed for AI and machine learning teams. It directly addresses the challenge of fragmented and inefficient data pipelines by unifying data curation, labeling, and model evaluation into a single, cohesive system. If you need to transform petabytes of unstructured data into high-quality assets for training and deploying production-grade AI, Encord provides the tools to do it faster and more reliably.

Key Features

🔎 Unified Data Curation & Management Stop wrestling with disparate data sources and cleansing scripts. Encord centralizes all your multimodal data—from images and video to DICOM and LiDAR—into one manageable hub. You can seamlessly connect to your cloud storage (AWS, GCP, Azure) and use powerful natural language or metric-based search to find, filter, and curate the exact data you need, reducing data preparation time by over 50%.

✍️ AI-Assisted Multimodal Annotation Label your most complex datasets with exceptional speed and accuracy. Encord’s AI-assisted tools, including native support for models like SAM 2 and GPT-4o, accelerate the annotation process across all data types. Its video-native annotation engine preserves temporal context, eliminating the frame-splitting issues common in other tools and speeding up video labeling by up to 6x.

📊 Advanced Model & Data Validation Go beyond just labeling and actively improve your model's performance. Encord allows you to evaluate models against your ground truth data, automatically surface labeling errors, and identify underperforming data segments or model blind spots. This creates a powerful feedback loop to iteratively refine your datasets and models, leading to significant performance gains, like the 20% mAP increase achieved by Automotus.

⚙️ Customizable Workflows & Quality Control Implement rigorous quality standards with flexible, multi-stage workflows. You can orchestrate complex review processes, assign specific roles to team members, and use consensus mechanisms to ensure labeling accuracy. Real-time analytics dashboards provide clear insights into annotator and project performance, helping you optimize for both speed and quality.

How Encord Solves Your Problems:

• For Medical AI Teams: You can streamline the development of diagnostic models by using Encord’s HIPAA-compliant platform and specialized DICOM/NifTI annotation tools. As noted by medical professionals, its interpolation feature can significantly reduce manual effort—in a 100-slice scan, an annotator might only need to label 30 images, with Encord handling the rest.

• For Autonomous Vehicle & Robotics Engineers: You can master complex 3D scenes by unifying data from LiDAR, multiple cameras, and other sensors on a single timeline. This allows for precise, temporally consistent annotation of object tracking and 6-DOF pose estimation, crucial for building reliable perception systems for real-world navigation.

• For Foundation Model Developers: You can efficiently create high-quality datasets for fine-tuning and alignment. Use Encord to manage large-scale text, image, and audio data, and implement RLHF (Reinforcement Learning from Human Feedback) and rubric-based evaluation workflows to guide your model’s reasoning and behavior.

Why Choose Encord?

1. A Truly End-to-End Unified Platform While many teams stitch together separate tools for data storage, curation, labeling, and evaluation, Encord integrates these functions into one platform. This eliminates data silos, reduces engineering overhead, and provides a single source of truth for your entire data pipeline, saving teams like Standard AI over $600,000 annually.

2. Superior Multimodal and Video-Native Support Encord is built from the ground up to handle the complexity of modern AI data. Unlike platforms that treat video as a series of static images, Encord’s video-native approach maintains temporal context, which is essential for accurate object tracking and action recognition. This, combined with its robust support for DICOM, LiDAR, and other formats, makes it a uniquely versatile solution.

Conclusion:

Encord provides the critical infrastructure to move past data bottlenecks and focus on what matters most: building and deploying better models, faster. By unifying the entire data development lifecycle, it empowers your team with the control, quality, and efficiency needed to succeed in production AI.

Explore how Encord can streamline your AI development lifecycle and accelerate your path to production.