Openlayer Alternatives

Build and deploy high-quality AI models with robust testing, evaluation, and observability tools, ensuring reliable performance and trustworthiness in production.
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Humanloop

If you're looking for a replacement to Openlayer, Humanloop is another option. It's intended to oversee and optimize Large Language Models (LLMs) applications development, tackling problems like suboptimal workflows and bad collaboration. It includes a collaborative prompt management system with version control and history, an evaluation and monitoring tool for debugging and ensuring reliable AI performance, and customization and optimization tools for integrating private data and fine-tuning models.

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HoneyHive

Another contender is HoneyHive, a mission-critical AI evaluation, testing, and observability platform for teams building GenAI applications. It offers a single LLMOps environment for collaboration, testing, and evaluation of applications, with features like automated CI testing, observability with production pipeline monitoring and debugging, dataset curation, labeling, and versioning, and prompt management and versioning.

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Athina

If you're looking for an end-to-end platform, check out Athina. It's a full stack for experimentation, measurement, and optimization of AI applications, supporting popular frameworks and offering real-time monitoring, cost tracking, and customizable alerts. Among its features are LLM Observability, Experimentation, Analytics and Insights, GraphQL API Access, Role-Based Access Controls, Self-Hosted Deployment, Multiple Workspaces, and Custom Models, making it a good option for enterprise GenAI teams.

More Alternatives to Openlayer

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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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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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Parea

Confidently deploy large language model applications to production with experiment tracking, observability, and human annotation tools.

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Dataloop

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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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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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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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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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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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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Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

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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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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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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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AirOps

Create sophisticated LLM workflows combining custom data with 40+ AI models, scalable to thousands of jobs, with integrations and human oversight.

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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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TeamAI

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

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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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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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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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AIML API

Access over 100 AI models through a single API, with serverless inference, flat pricing, and fast response times, to accelerate machine learning project development.

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Contentable

Compare AI models side-by-side across top providers, then build and deploy the best one for your project, all in a low-code, collaborative environment.