Question: Looking for a company that can build a large language model for my organization's specific needs.

If you want a company that can build a large language model customized for your organization, Lamini is a good option. Lamini's enterprise-grade Large Language Model platform lets teams develop, manage and run LLMs on their own data. It includes options like memory tuning for better accuracy, deployment on multiple environments and high-throughput inference for a full model lifecycle. It can be deployed on-premise or in the cloud and runs on AMD GPUs, supporting thousands of LLMs.

Another powerful option is Prem, an AI platform that lets companies use personalized LLMs with a developer-friendly interface. Prem is designed for data sovereignty and independence from third-party providers, so it's a good option for companies that want to fine-tune models with their own prompts. The platform can be deployed on-premise and comes with a library of open-source small language models for different use cases, offering state-of-the-art efficiency and quality.

Dayzero is a hyper-personalized AI platform that lets you deploy custom LLMs in your own environment. It includes products like Worx for training and deployment of generative AI, Altimo for intelligent dialogues, and Blox for process automation. Dayzero's platform is designed to comply with data protection regulations and integrates with popular AI engines like OpenAI and Azure OpenAI, so it's a good option for companies that want to get the most out of their efficiency and productivity.

For a platform to build and run large-scale AI systems, check out Abacus.AI. Abacus.AI lets developers build applied AI agents and predictive systems, for example with ChatLLM for building end-to-end RAG systems and AI Agents for automating complex workflows. It offers high availability, governance and compliance, so it's a good option for enterprise environments with more advanced AI needs.