Lettria Alternatives

Extract insights from unstructured text data with a no-code AI platform that combines LLMs and symbolic AI for knowledge extraction and graph-based applications.
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Metatext

If you're looking for a Lettria alternative, Metatext is worth considering. It lets you create and train your own NLP models with no programming expertise. Metatext can handle tasks like text classification, tagging and generation, and is geared for customer support, customer insights and content moderation use cases.

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NuMind

Another option is NuMind, which also offers no-code text processing model development. It can handle multilingual data and privacy concerns, and is used for sentiment analysis, entity recognition and content moderation. NuMind models can run on CPUs with small footprints for easy deployment.

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Graphlit

If you want an API-first option, Graphlit is a broad platform for managing unstructured data from many sources. It can handle OCR, LLM-based text extraction and multimodal data like automatic transcription of audio and descriptions of images. Graphlit's serverless design and managed API integration makes it easy to deploy without worrying about infrastructure.

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Writer

Last, Writer is a full-stack generative AI platform with more advanced tools like Knowledge Graph and AI Guardrails to keep your AI from violating regulations. It can handle multiple languages and has flexible deployment options, making it a more powerful option for businesses that want to use AI securely and at scale.

More Alternatives to Lettria

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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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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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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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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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TeamAI

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

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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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Riku

Build and deploy AI applications without writing code, leveraging 40+ large language models to create chat, text, vision, and image apps through an intuitive interface.

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Hebbia

Process millions of documents at once, with transparent and trustworthy AI results, to automate and accelerate document-based workflows.

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Cubeo AI

Create and train AI Agents without coding, automating repetitive tasks in various areas, with an intuitive interface for customization and integration.

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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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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.

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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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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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Relevance AI

Assemble and deploy autonomous AI teams to automate tasks and processes, freeing up time for more strategic work, without requiring coding expertise.

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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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UBIAI

Accelerate custom NLP model development with AI-driven text annotation, reducing manual labeling time by up to 80% while ensuring high-quality labels.

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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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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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Appen

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