SuperAnnotate Alternatives

Streamlines dataset creation, curation, and model evaluation, enabling users to build, fine-tune, and deploy high-performing AI models faster and more accurately.
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Appen

If you're looking for a different alternative to SuperAnnotate, Appen is another good choice. It's an end-to-end platform for high-quality, diverse data for foundation models and enterprise-ready AI applications. The platform accepts a wide range of data types, including text, images, audio and video, with customizable workflows and built-in quality control. It also offers flexible deployment options, making it a scalable and reliable way to source, curate and fine-tune data for different AI applications.

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Dataloop

Another good option is Dataloop, which offers data curation, model management and pipeline orchestration to speed up AI application development. It includes features like automated preprocessing, model management and a marketplace for pre-trained models and pipelines. Dataloop is designed to improve collaboration, accelerate development and maintain high security, making it a good all-purpose AI development tool.

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Clarifai

Clarifai is another good option. It's an AI workflow orchestration platform that streamlines the creation, management and operation of AI projects. It supports a range of AI technologies like Large Language Models and Generative AI, and includes automated data labeling, content moderation and visual inspection. Clarifai's platform is designed to lower development costs and increase productivity, making it a good tool for a wide range of AI tasks.

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Encord

For those with a computer vision focus, Encord offers a full-stack data development platform. It includes tools for data ingestion, cleaning, curation, automated labeling and model performance evaluation. Encord's platform is designed to be secure with SOC2, HIPAA and GDPR compliance, and offers a range of pricing tiers depending on your needs, making it a good option for building predictive and generative computer vision applications.

More Alternatives to SuperAnnotate

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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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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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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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HoneyHive

Collaborative LLMOps environment for testing, evaluating, and deploying GenAI applications, with features for observability, dataset management, and prompt optimization.

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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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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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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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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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Deepchecks

Automates LLM app evaluation, identifying issues like hallucinations and bias, and provides in-depth monitoring and debugging to ensure high-quality applications.

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LLMStack

Build sophisticated AI applications by chaining multiple large language models, importing diverse data types, and leveraging no-code 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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Anyscale

Instantly build, run, and scale AI applications with optimal performance and efficiency, leveraging automatic resource allocation and smart instance management.

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Athina

Experiment, measure, and optimize AI applications with real-time performance tracking, cost monitoring, and customizable alerts for confident deployment.

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Braintrust

Unified platform for building, evaluating, and integrating AI, streamlining development with features like evaluations, logging, and proxy access to multiple models.

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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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Google AI

Unlock AI-driven innovation with a suite of models, tools, and resources that enable responsible and inclusive development, creation, and automation.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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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.

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Label Studio

Flexible data labeling tool for various data types, including images, audio, and text, with customizable layouts, ML-assisted labeling, and cloud storage integration.

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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.