Question: I'm looking for a solution that allows me to fine-tune LLMs on proprietary data and deploy them securely in any environment.

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Lamini

If you need a way to fine-tune LLMs on proprietary data and run them securely in any environment, Lamini is a great option. This enterprise-focused platform lets software teams develop, manage and deploy their own LLMs on their own data. It includes support for memory tuning for better accuracy, deployment on different environments including air-gapped ones, and support for AMD GPUs, and scales to thousands of LLMs. Lamini is a full-fledged platform for managing the model lifecycle, from comparison to deployment, with both free and enterprise tiers.

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Dayzero

Another strong contender is Dayzero, which provides hyper-personalized applications powered by custom LLMs running securely in the user's environment. Its products, such as Worx for secure training, Altimo for intelligent dialogues, and Blox for process automation, enable businesses to automate workflows and boost productivity. Dayzero focuses on precision pre-training and custom application layer development, which means it can develop tailored AI models that perform well in a specific domain. It supports cloud-agnostic deployment and integrates with a wide variety of data sources for maximum flexibility.

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ClearGPT

ClearGPT is another secure, enterprise-focused platform designed for internal enterprise use. It addresses security, performance and cost concerns by offering model performance, customization and data governance controls. It includes features like role-based access, a human reinforcement feedback loop and continuous fresh data integration. ClearGPT has zero data leakage and runs on a private network, making it a great option for enterprises looking to integrate AI without vendor lock-ins.

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Prem

For those who need a user-friendly platform with data sovereignty, Prem provides a development environment for personalized LLMs. It enables fine-tuning with custom prompts and deployment on-premise to keep sensitive data in-house. With a library of open-source Small Language Models for fine-tuning, Prem enables companies to better manage compliance, generate images and detect fraud without relying on third-party providers.

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