Vertesia provides an AI-native content and context management platform that prepares documents for AI consumption, combining governed document management with document intelligence and observable agentic orchestration. The platform enables AI agents to search, reason, update, generate, and automate work safely by giving them properly structured content and durable process control. It supports all content types including documents, images, audio, and video, with features like embeddings, semantic preparation, and human intervention capabilities.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Product
Problem
Traditional document management systems were designed to store unstructured content for human use, but AI agents require more than a simple document repository. AI systems need documents that are intelligently prepared, semantically enriched, and governed by durable process controls to operate safely and effectively in production environments.
Solution
Vertesia provides an AI-native content and context management platform that gives AI agents the context and process control they need to search, reason, update, generate, and automate work safely. The platform combines AI-native document management with document intelligence capabilities, including intake, extraction, enrichment, embeddings, and semantic document preparation. It also features observable agentic orchestration with durable execution, model routing, tools and skills, sub-agents, and human intervention capabilities. This allows organizations to run production agentic work that survives flaky providers, redeploys, and multi-day execution cycles.
Target Audience
Primary customers are enterprises and development teams building AI applications, agentic workflows, and autonomous agents that require governed, semantically prepared content and reliable process orchestration.
Features
- AI-native document management with content objects, metadata, types, collections, versions, renditions, permissions, lifecycle, search, and audit capabilities
- AI-powered document intelligence supporting intake, extraction, enrichment, embeddings, structured properties, and semantic document preparation across all content types including documents, images, audio, and video
- Observable agentic orchestration with durable execution, model routing, tools and skills, sub-agents, human intervention, and observability features
- Governed repository with a durable process engine designed specifically for autonomous agents, agentic workflows, and AI applications
- Platform shaped by two decades of document management experience and years of running AI agents against real production work