Question: Can you suggest a solution that enables on-premise deployment of AI models, ensuring sensitive data remains secure?

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Prem

If you need a system that lets you run AI models on your own premises while keeping data private, Prem is worth a look. The service lets companies use personalized Large Language Models (LLMs) with a development environment that's relatively easy to use and that's customized for their needs. It offers data sovereignty and independence from third-party providers, so sensitive data stays in-house. With features like prompt engineering, evaluation, and deployment, it's accessible even to those who aren't AI gurus.

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Stack AI

Another contender is Stack AI, which links AI to a broad range of data sources to automate back-office work and boost productivity. The service has an interface with drag-and-drop tools, prebuilt templates and no programming required. It also has strong security protections, including SOC2, HIPAA and GDPR compliance, and can be deployed on-premise for maximum data security.

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ClearGPT

ClearGPT is another enterprise-grade, internally used platform that's designed to overcome security and data governance issues. It uses generative AI and LLMs like ChatGPT but is designed to address security and data governance issues. ClearGPT has zero data and IP leakage, running on a private network with role-based access and data governance for privacy and control. It's geared for companies that want to use AI to innovate while keeping their sensitive data under wraps.

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Align AI

If you're more interested in data analysis than training AI models, take a look at Align AI. The service can evaluate and optimize LLM-based conversational products like AI chatbots by analyzing how people use them. It can be customized with on-premise deployment, which means you have full control over data and strict security compliance. Align AI puts data security first, with compliance to industry standards like SOC 2 and GDPR, so it's a good option if you want to use AI without worrying about data breaches.

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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dstack

Automates infrastructure provisioning for AI model development, training, and deployment across multiple cloud services and data centers, streamlining complex workflows.

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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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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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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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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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BoxyHQ

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

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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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Signature

Builds private, custom AI models that protect intellectual property and integrate with existing infrastructure, ensuring high-quality results and maximum control.

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MarkovML

Transform work with AI-powered workflows and apps, built and deployed without coding, to unlock instant data insights and automate tasks.

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Modelbit

Deploy custom and open-source ML models to autoscaling infrastructure in minutes, with built-in MLOps tools and Git integration for seamless model serving.

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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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MindsDB

Connects data to AI with 200+ integrations, allowing developers to create tailored AI solutions using their own enterprise data and multiple AI engines.

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MOSTLY AI

Generate fully anonymous synthetic tabular data without programming, ensuring privacy compliance and confidential data sharing, with natural language querying and analysis.

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Parallel AI

Select and integrate top AI models, like GPT4 and Mistral, to create knowledgeable AI employees that optimize workflow and boost productivity.

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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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Nightfall

Finds, classifies, and protects sensitive data in SaaS and cloud applications with high accuracy and fewer false positives, reducing data breach risk.

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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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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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Invoke

Train AI models on your own IP, control every step of the process, and retain full ownership of your data and assets with infinite customization options.