What is Lamini?

Lamini is an LLM platform designed for scalable, secure, and specialized AI development. It enables enterprises to build highly accurate AI agents, reduce hallucinations by 95%, and deploy domain-specific small language models (SLMs) that outperform general-purpose LLMs in accuracy and cost-efficiency. The platform supports deployment in various environments, including cloud, on-premise, and air-gapped systems, ensuring data privacy and security.

Top Features

• Memory Tuning: Achieves 95% accuracy on tuned models while keeping inference latency and cost low.
• Memory RAG: Simplifies complex RAG systems, reduces hallucinations, and delivers reliable results with fast and efficient retrieval.
• Classifier Agent Toolkit: Enables large-scale classification of unstructured data, automating manual tasks like customer service request routing and code triage.
• Use Cases: Supports factual reasoning, classification, text-to-SQL, code assistance, customer service agents, and function calling for high-value enterprise applications.
• Secure Deployment: Runs in any environment, including air-gapped systems, ensuring data privacy.

Pricing

Lamini offers a free tier to get started, with additional pricing details available upon request. The platform is designed to reduce OpenAI spend by building cost-effective, domain-specific SLMs.

FAQs

• What is Memory Tuning?
  Memory Tuning is a feature that offers the highest level of accuracy for fine-tuned models while maintaining low inference latency and cost.

• How does Memory RAG work?
  Memory RAG simplifies retrieval-augmented generation (RAG) systems, reducing hallucinations and delivering structured output from unstructured data efficiently.

• What is the Classifier Agent Toolkit?
  It is a tool for large-scale classification of unstructured data, automating tasks like customer service request routing and legacy code triage.

• Can Lamini be deployed securely?
  Yes, Lamini can be deployed in secure environments, including on-premise, cloud, and air-gapped systems, ensuring data privacy.

• What use cases does Lamini support?
  Lamini supports factual reasoning, classification, text-to-SQL, code assistance, customer service agents, and function calling for enterprise applications.