Lamini

Rapidly develop and manage custom LLMs on proprietary data, optimizing performance and ensuring safety, with flexible deployment options and high-throughput inference.
Large Language Model Development AI Model Management Enterprise AI Solutions

Lamini is an enterprise LLM platform that enables software teams to rapidly develop and manage their own LLMs. It provides best practices for specializing LLMs on billions of proprietary documents, optimizing performance, reducing hallucinations and ensuring safety. Lamini can be deployed securely on-premise or in the cloud, thanks to its partnership with AMD, and can run LLMs on AMD GPUs and scale to thousands with confidence.

Some of the key benefits of Lamini include:

  • Memory Tuning: Get over 95% accuracy even with thousands of specific IDs or other internal data.
  • Any Environment Deployment: Deploy on Nvidia or AMD GPUs in any environment, including air-gapped setups.
  • Guaranteed JSON Output: Output JSON structures with 100% schema accuracy.
  • High Throughput Inference: Run 52 times more queries per second compared to vLLM.

Lamini is a full platform for model selection, model tuning and inference usage, allowing development teams to easily integrate LLMs into their workflows. It allows for fine-tuning models on proprietary data, hosting them anywhere and deploying them for high-throughput inference.

Lamini is used by Fortune 500 companies and leading AI startups. Pricing includes a free tier with limited inference requests and a custom enterprise tier with unlimited tuning and inference, plus dedicated support.

Customers can tune models and deploy them anywhere, giving them full control over their data. The platform supports full model lifecycle management, from comparing models in a playground to deploying them securely.

Lamini's team includes experts from academia and industry, including Stanford CS Faculty and MIT Technology Review 35 Under 35 award winners. The company is focused on helping enterprises build the best LLMs in-house, making AI more accessible and integrated into business applications.

Published on June 14, 2024

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