Question: Can you recommend a platform that provides a secure and private environment for building and deploying custom AI models?

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ClearGPT

If you want a private and secure environment for training and deploying your own AI models, ClearGPT is a good choice. This enterprise-focused service uses generative AI and Large Language Models like ChatGPT but is designed to overcome security, performance and data governance limits. It doesn't leak any data and gives you maximum control over your company's intellectual property, so it's geared for internal use within a company. ClearGPT also includes role-based access controls, data governance and a continuous stream of fresh training data for more adaptable AI. It also integrates with your existing applications.

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ZeroTrusted.ai

Another serious contender is ZeroTrusted.ai, which is designed to protect data privacy when using large language models. The service includes an LLM Firewall that keeps prompts anonymous and validates results to block hallucinations and other suspicious activity. It offers several pricing options, including a Team plan for up to 3 users and an Enterprise plan for unlimited users, so it's good for small startups and bigger companies handling sensitive data.

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Prem

Another contender is Prem, which is designed to give you data sovereignty and independence from third-party providers. It's designed to be easy to use with a development environment designed for training your own Large Language Models. Prem can be deployed on-premise so sensitive data stays in your control. The service is geared for companies that don't have a lot of AI expertise, with tools for prompt engineering, evaluation and deployment.

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Signature

If you want to use AI models in your own systems but need to do so in a private way, Signature offers custom AI models. It includes services like training models, preparing training data sets and integrating with your own application programming interfaces, all while protecting privacy. It's good for a wide range of industries, including marketing and digital creation, and lets companies modernize their operations while keeping control over their intellectual property.

Additional AI Projects

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Dayzero

Hyper-personalized enterprise AI applications automate workflows, increase productivity, and speed time to market with custom Large Language Models and secure deployment.

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Credal

Build secure AI applications with point-and-click integrations, pre-built data connectors, and robust access controls, ensuring compliance and preventing data leakage.

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Together

Accelerate AI model development with optimized training and inference, scalable infrastructure, and collaboration tools for enterprise customers.

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Writer

Abstracts away AI infrastructure complexity, enabling businesses to focus on AI-first workflows with secure, scalable, and customizable AI applications.

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Tromero

Train and deploy custom AI models with ease, reducing costs up to 50% and maintaining full control over data and models for enhanced security.

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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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BoxyHQ

Protects sensitive data and AI models with encryption, access controls, and authentication, ensuring compliance and security for cloud applications.

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Aible

Deploys custom generative AI applications in minutes, providing fast time-to-delivery and secure access to structured and unstructured data in customers' private clouds.

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Private AI

Detects and anonymizes personally identifiable information in various file formats and languages, ensuring data protection and compliance with global privacy regulations.

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Openlayer

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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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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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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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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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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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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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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LastMile AI

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

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MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

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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.