Alternatives
Encord is the top vendor-neutral alternative to Scale for teams building frontier AI products. Our enterprise data platform enables teams to efficiently manage, curate and annotate multimodal datasets for training and fine-tuning AI models and applications at scale.
Trusted by 200+ AI research & engineering teams
Evaluating Scale AI alternatives? Leading AI teams prioritize vendor neutrality after big tech's investment in Scale, native multimodal support with best-in-class visual data annotation, consolidated data pipelines spanning text, image and video to 3D point cloud and LiDAR, and enterprise-grade scalability that delivers measurable ROI.
Advanced annotation suite with native multimodal support
Annotate multiple types of data such as video, image, DICOM, document, text, and audio files in Encord's unified multi-tiling labeling editor interface. Improve speed and accuracy with AI-assisted labeling tools, RLHF workflows, and integration with SOTA models such as SAM2, YOLO, GPT-4o, and Gemini Pro. Our platform renders video natively for seamless frame synchronization and temporal context preservation. Build sophisticated annotation schemas with complex nested ontologies and dynamic attributes.
Enterprise data platform with white-glove support
Overcome data silos with a consolidated platform for data curation, annotation, and model evaluation. Streamline data workflows, reduce engineering overhead, and accelerate time to market with Encord's unified data platform. Experience white-glove onboarding and support with dedicated customer success managers to ensure your team's success.
Achieve scalability without Scale
Securely manage and organize millions of unstructured files with full visibility and traceability of data lineage. Upload once and leverage your data across unlimited projects to significantly reduce storage overhead and management complexity. Choose from flexible deployment options including cloud, VPC, or on-premise installations tailored to your organization's specific security and infrastructure requirements.
KEY FEATURES
Annotation and RLHF
Multimodal annotation interface supporting RLHF workflows
Advanced workflow builder and orchestration with complex quality assurance capabilities
Limited
AI-assisted labeling with SOTA models integration
Data management and curation
Consolidated data management, curation, and annotation platform
Limited
Data agents to integrate AI models into data workflows
Robust API & SDK
Model testing and evaluation
Support & Services
White-glove experience for enterprise customers with dedicated support teams
Limited
Customizable workflows with agent integration
Create workflows that match your annotation process and team structure with Encord's no-code builders. Integrate state-of-the-art models such as GPT-4o and Gemini Pro or your own models directly into data workflows to automate data reviews, pre-labeling, data classification, filtering and more. Our advanced workflow capabilities support complex quality assurance processes, including consensus-based reviews to ensure the highest data quality.
API/SDK for programmatic access to Encord
Leverage our comprehensive SDK to interact with the Encord platform programmatically. Automate data pipelines that integrate with existing MLOps stacks. Upload data or integrate with cloud storage, access and manage projects, datasets, ontologies and labels within the platform via API.
Strict adherence to compliance standards
Rigorous compliance with industry standards to protect your most sensitive data. Safeguard personal information, protected health data, and valuable intellectual property through comprehensive security protocols and data handling practices that meet the highest regulatory requirements. Encord's platform is fully SOC2 Type II, HIPAA, and GDPR compliant, providing the security foundation enterprises need.
Case studies
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Getting started with Encord and integrating it into our workflow was really fast. The thing that I find the most valuable is the flexibility of how we can integrate the Encord pipeline into our own pipeline.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models.
Encord made it very easy to centrally keep track of annotations, including who had made them and who had reviewed them. It also has this great interpolation tool which was especially useful.
It’s always about balancing speed and quality. A lot of platforms prioritize speed over quality or quality over speed. Encord speeds up annotation while still allowing for strong quality control.
Encord’s robust support system has been remarkable. Whenever questions or issues come up, they are always supportive and helpful. This ensures that our workflows remain uninterrupted.
We went through a bunch of vendors and one of the things that stood out about Encord was the video first support, which other vendors do not have.
Getting started with Encord and integrating it into our workflow was really fast. The thing that I find the most valuable is the flexibility of how we can integrate the Encord pipeline into our own pipeline.
Encord Index is a high-performance system for our AI data, enabling us to sort and search at any level of complexity.
Before using Encord, it was challenging to see all the data, projects, and annotations in one place. Now, with Encord I feel like we have a much clearer understanding of everything that's happening.
Vendor neutrality ensures your AI development remains independent and secure when platform providers have strategic partnerships or investments. Recent Meta's investment in Scale AI highlights why teams prioritize independent data infrastructure partners.
Vendor-neutral platforms like Encord eliminate concerns about data sensitivity, eval confidentiality, and long-term IP risk by maintaining strict operational independence.
Encord offers truly native multimodal support within a unified platform, allowing you to work with images, videos, audio, documents, text, 3D point cloud, LiDAR, and DICOM files simultaneously. Our multi-tiling editor enables synchronized viewing and annotation across different file types, creating a seamless workflow for complex projects. This enables Encord to be the platform of choice for the most frontier AI models and applications including physical AI, robotics, autonomous driving, and LLMs.
Encord provides native video rendering with advanced object tracking, no downsampling, and precise frame-by-frame analysis, preserving temporal context throughout the annotation process. Our approach enables significantly faster and more accurate video annotation while using less storage.
Encord provides an integrated platform that consolidates data management, curation, annotation, and model evaluation in one environment. This eliminates the need to build fragmented data infrastructure or integrate multiple point solutions, reducing engineering overhead and accelerating time to market.
Encord offers robust quality control features including customizable QA workflows and detailed performance analytics at both organization and individual levels. You can track metrics to identify bottlenecks and errors, manage annotator performance, and maintain high data quality throughout your projects.
Encord delivers a white-glove experience with dedicated customer success managers and technical support teams to ensure your team’s success.
No. Encord provides dedicated migration tools and expert support to ensure a smooth transition from Scale AI.
Forget fragmented workflows, annotation tools, and Notebooks for building AI applications. Encord's Data Development platform accelerates every step of taking your model into production.
