We build custom Large Language Models (LLMs) and RAG systems that know your business inside out. Secure, private, and incredibly smart.
Advanced AI infrastructure for the enterprise.
Retrieval-Augmented Generation allows AI to answer questions based on your private documents (PDFs, Notion, Drive) without hallucinations.
We train open-source models (Llama 3, Mistral) to adopt your brand voice and domain expertise.
Keep your data secure. We deploy models on your own private cloud (AWS, Azure, GCP) or on-premise servers.
Advanced prompt optimization techniques (Chain-of-Thought, ReAct) to get the most accurate and reliable outputs from any model.
See how we've helped other brands leverage the power of LLMs.
RAG-powered system that reviews NDAs and contracts, highlighting risks and suggesting edits in seconds.
Trained on thousands of legal documents. Reduced contract review time by 80% for a mid-sized law firm.
Secure internal search engine allowing employees to query 50,000+ documents with natural language.
Connected to Google Drive, Notion, and Slack. Implemented strict access controls to ensure data security.
Fine-tuned LLM that suggests responses to support agents, increasing resolution speed by 2x.
Learned from 5 years of historical support tickets. Continuously improves based on agent feedback.
From raw data to deployed intelligence.
Cleaning, chunking, and embedding your unstructured data for optimal retrieval.
Fine-tuning models or setting up vector databases tailored to your use case.
Rigorous testing using benchmarks and human feedback (RLHF) to ensure accuracy.
Connecting the AI model to your frontend, API, or internal tools via secure endpoints.