Enhans AgentOS (SaaS)
durch Enhans
Reliable AI agents that act safely across systems, grounded in your business rules.
The Problem
Enterprise data sits fragmented across SAP, ERP, CRM, and other systems with no defined meaning or relationships. AI cannot accurately interpret or act on it. LLM-based automation produces hallucinations and low accuracy as a result. Reasoning across data relationships that have not been explicitly defined remains out of reach.
The Solution
AgentOS combines an ontology layer that defines the meaning and relationships of enterprise data with autonomous AI agents that operate on top of it. The ontology guarantees data context and lineage. Agents use that foundation to query, reason, simulate, and execute, enabling high-accuracy decision automation across complex enterprise environments.
Platform Modules
- AgentOS: Enterprise agentic AI operating platform integrating an ontology layer with autonomous AI agents
- Ontology Manager: Automatically generates approximately 90% of the ontology from source system data; remaining construction is completed by Enhans Forward Deployed Engineers (FDEs) on-site
- Agent Builder: Configures multi-agent collaboration for complex, cross-functional workflow automation
- App Builder: Builds operational apps using constructed ontologies and agents through natural language configuration
- ACT-2 (Computer Use): An autonomous web and system interaction model that reasons and acts by reading screens the way a person would. Ranks in the global top 5 on the Online-Mind2Web Computer Use benchmark, alongside Google, OpenAI, and Anthropic
Why AgentOS
AgentOS covers ground that rule-based automation and LLM chatbots cannot reach. Ontology-based autonomous agents automate high-value decision domains including cost analysis, audit, and simulation. Customers include major Korean conglomerates and global enterprises across multiple industries.
A proprietary ontology architecture delivers the speed and stability required at enterprise scale. The Compounding Architecture, which integrates the ontology and agent layers, enables reasoning and autonomous execution across data relationships that were never explicitly predefined. ACT-2, Enhans' in-house Computer Use model, gives agents the ability to read screens, reason, and act directly.
AgentOS is built to fit your existing stack: no rip-and-replace, Microsoft Azure deployment, SaaS or private/on-premises options, MCP-based integration support, full auditability, and governed execution.