Encord Alternatives

Streamline computer vision development with automated labeling, data management, and model testing tools to build more accurate models faster.
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Roboflow

If you're seeking a replacement for Encord, Roboflow is another top option. It's an end-to-end platform for training and deploying computer vision models, with automated annotation tools and a range of deployment options. Roboflow lets you search, curate and manage visual data with filtering, tagging and semantic search. It also has AI-assisted labeling tools and an auto-annotate API for fast labeling. The service integrates with common frameworks and cloud services, so you can deploy models at scale in edge and cloud environments.

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Label Studio

Another good choice is Label Studio, a flexible data labeling tool that works with images, audio, text and video. It has customizable layouts and templates, ML-assisted labeling and integration with cloud storage systems. Label Studio is open-source and free, with an enterprise version that adds more features. It can handle multiple projects and users, so it's good for data scientists and companies large and small.

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Dataloop

Dataloop is another good option, an all-in-one AI development platform with data curation, model management, pipeline orchestration and human feedback. It has features like automated preprocessing, embeddings for similarity detection and a marketplace to tap into existing models and pipelines. Dataloop has strong security controls and supports a variety of unstructured data, so it's a good choice for those who want to improve collaboration and speed up AI development.

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SuperAnnotate

Last, SuperAnnotate is an end-to-end platform for training, evaluating and deploying LLM, CV and NLP models. It pulls data from local and cloud storage and has a customizable interface for a variety of GenAI tasks. SuperAnnotate has advanced AI, QA and project management tools, and it taps into a global marketplace of vetted annotation teams. The service is designed to protect data security and privacy, following industry standards and frameworks, so it's a good choice for those who need high-quality AI development.

More Alternatives to Encord

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V7

Automates machine learning development tasks, including image and video labeling, to accelerate product delivery and reduce labeling costs by up to 80%.

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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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LandingLens

Unlock insights from unlabeled images, achieve accurate results, and deploy computer vision models flexibly and scalably across industries.

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MLflow

Manage the full lifecycle of ML projects, from experimentation to production, with a single environment for tracking, visualizing, and deploying models.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Scale

Provides high-quality, cost-effective training data for AI models, improving performance and reliability across various industries and applications.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Instill

Automates data, model, and pipeline orchestration for generative AI, freeing teams to focus on AI use cases, with 10x faster app development.

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Dataiku

Systemize data use for exceptional business results with a range of features supporting Generative AI, data preparation, machine learning, MLOps, collaboration, and governance.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Obviously AI

Automate data science tasks to build and deploy industry-leading predictive models in minutes, without coding, for classification, regression, and time series forecasting.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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MarkovML

Transform work with AI-powered workflows and apps, built and deployed without coding, to unlock instant data insights and automate tasks.

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Collibra

Automate data discovery, governance, and quality control to increase productivity, reduce risk, and unlock business value from trusted data.

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Gretel Navigator

Generates realistic tabular data from scratch, edits, and augments existing datasets, improving data quality and security for AI training and testing.

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DataRobot AI Platform

Centralize and govern AI workflows, deploy at scale, and maximize business value with enterprise monitoring and control.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Anaconda

Accelerate AI development with industry-specific solutions, one-click deployment, and AI-assisted coding, plus access to open-source libraries and GPU-enabled workflows.