Dataloop Alternatives

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.
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Appen

If you're looking for a Dataloop alternative, Appen has a more complete end-to-end platform for AI work. It can handle a broad range of data types and includes tools for annotation, collaboration, testing and analytics. It's customizable, auditable and can be integrated with LLM APIs, so it's good for high-quality data curation and human-AI collaboration.

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Clarifai

Another option is Clarifai, which offers AI workflow orchestration tools for data labeling, inference and generative AI. It can help you move AI prototypes to production, standardize workflows and increase efficiency. With automated data labeling and content moderation, Clarifai is good for operationalizing AI, digital asset management and other use cases.

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H2O.ai

H2O.ai is another option. It marries predictive and generative AI to help businesses automate processes and boost productivity. The company's platform includes modules like H2O-Danube for offline use on edge devices and H2O Generative AI for analyzing and generating content. H2O.ai supports deployment in a variety of environments so businesses can keep control over infrastructure, security and compliance.

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Abacus.AI

If you're looking for a more focused AI development approach, Abacus.AI offers a platform for building and running AI agents and systems at large scale. It includes tools like ChatLLM for end-to-end RAG systems and AI Agents for automating complex workflows. Abacus.AI also offers predictive modeling, anomaly detection and fraud security, so it's a good choice for businesses that want to build AI into many operational tasks.

More Alternatives to Dataloop

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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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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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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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Dify

Build and run generative AI apps with a graphical interface, custom agents, and advanced tools for secure, efficient, and autonomous AI 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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LastMile AI

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

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SuperAnnotate

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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NVIDIA AI Platform

Accelerate AI projects with an all-in-one training service, integrating accelerated infrastructure, software, and models to automate workflows and boost accuracy.

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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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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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LLMStack

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

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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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DataRobot AI Platform

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

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Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.

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Digital.ai

Integrates software lifecycle management, providing predictive insights and automation to maximize business value and drive reliable software delivery.

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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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TeamAI

Collaborative AI workspaces unite teams with shared prompts, folders, and chat histories, streamlining workflows and amplifying productivity.

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Eden AI

Access hundreds of AI models through a unified API, easily switching between providers while optimizing costs and performance.

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Flowise

Orchestrate LLM flows and AI agents through a graphical interface, linking to 100+ integrations, and build self-driving agents for rapid iteration and deployment.

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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.