How our autonomous agents conquer massive data, deliver 200x ROI, and prevent critical errors with breakthroughs in memory, persistence, and agent...
From while loops to sophisticated tools, discover how we built the infrastructure for enterprise AI agents
Introducing Vertesia's Semantic DocPrep API service that eliminates LLM hallucinations and generates accurate, relevant results.
Composable is now Vertesia, a name that embodies our future-focused mission, reflecting our commitment to accelerating AI adoption.
We are one of five winners of the 2024 Innovation Award from Deep Analysis, recognized for solving real-world business challenges with GenAI.
Documentation generation and maintenance is a good use case for LLM-powered tasks when paired with a platform a approach.
We've joined the latest cohort of startups in Google's AI First Accelerator program.
RAG means Retrieval-Augmented Generation and it provides context to Large Language Models.
Do LLMs hallucinate? No, LLMs make mistakes but there are strategies to mitigate the impact of these mistakes.
Vertesia (Composable) secured $4M in seed funding to spearhead enterprise adoption of Large Language Models (LLMs).