Agentic Systems is a critical player in the agent-to-agent (A2A) economy. They are specifically building the transactional infrastructure that allows autonomous agents to move from "providing information" to "completing purchases." Their work with the Model Context Protocol (MCP) and decentralized P2P agent protocols positions them at the networking and application layers of the agent stack.
For developers and users in the AI agent ecosystem, Agentic Systems matters because they solve the "last mile" of the transaction. By providing a way for agents to interact directly with travel and commerce inventory without relying on fragile browser automation, they enable more stable and scalable agentic workflows. They are active champions of standardized communication between agents, pushing for cryptographic validation and privacy-first data architectures that comply with the EU AI Act.
Agentic Systems argues that the current state of AI agents is mostly "automation theater." While many tools today rely on remote-controlling browsers in virtual machines, this German startup builds infrastructure for native agent-to-agent (A2A) commerce. Based in Hürth, the company focuses on the travel industry, where high-intent research often happens in LLMs but transaction execution still requires human intervention on a traditional website. Their platform is designed to close this gap by enabling secure, decentralized transactions between a user's personal agent and a supplier's seller agent.
The company’s core product, Agentify, works as a translation layer for legacy systems. Most travel suppliers use established formats like OTDS or NDS for their inventory. Agentify creates "Node Agents" that ingest these data formats and output them via agentic protocols, specifically Anthropic’s Model Context Protocol (MCP) and their own A2A and ACP protocols. This setup allows LLMs to query real-time availability and execute bookings directly. By using Graph RAG (Retrieval-Augmented Generation), they ensure that agents understand the complex relationships inherent in travel, such as flight connections and hotel amenities, rather than just treating inventory as flat text.
The company is led by Axel Schmiegelow and Marcelo Emmerich. Schmiegelow brings two decades of experience in travel and e-commerce, while Emmerich has a background in enterprise AI at Bosch and Deutsche Telekom. Notably, Emmerich is an author of public MCP and agentic development frameworks. Their combined experience addresses a specific pain point: enterprises are wary of replacing entire reservation systems just to capture AI-driven traffic. Agentic Systems offers an integration model where they certify existing IT partners to handle the technical implementation using their enterprise SLAs.
A central part of their market strategy is the "Agentic Readiness" assessment. Many brands are currently invisible to LLMs because their inventory is locked behind search forms or non-crawlable APIs. Agentic Systems provides an analysis of how visible a brand's inventory is to models like ChatGPT, Claude, and Perplexity. This serves as an entry point for their broader commerce suite, which includes upcoming modules for agentic payments and automated marketing within GPT marketplaces. Their pricing reflects this enterprise focus, offering a mix of usage-based AIaaS fees and traditional commission models for successful transactions.
A platform for creating node agents that expose inventory to AI agents.