Agentic AI Operating Systems Move Beyond Generic Chatbots
Agentic AI operating systems are specialised software platforms that coordinate multiple AI agents to understand goals, make domain-specific decisions, execute actions across tools, and learn from outcomes in order to automate complex team workflows end-to-end. This model goes beyond generic chatbots by embedding AI into the core operating fabric of a business function, from data ingestion and analysis to decision-making and execution. The latest funding for Kopa.ai and Mafer AI highlights how investors are backing vertical AI solutions that behave like expert teammates, not text-only assistants. Both companies are building AI operating systems tuned to the realities of specific sectors: e-commerce operations at Kopa.ai and formulation R&D at Mafer AI. Their focus on agentic AI copilots and specialised AI teams signals a shift from horizontal, one-size-fits-all tools to deeply integrated systems that mirror how real teams work.
Kopa.ai: An Agentic Co‑Pilot for E‑Commerce Scale-Up
Kopa.ai has raised €2 million in Seed funding to scale what it calls an agentic AI co‑pilot and operating system for e-commerce teams. Backed by investors including XTX Ventures, Practica Capital, and Inovia Capital, the startup aims to deepen the core technology that makes its agents intelligent, reliable, and context-aware while proving repeatable customer demand. Publicly launched in December 2025, Kopa.ai reports reaching €2 million in ARR by May 2026, a signal that merchants see value in specialised AI teams embedded in their daily workflows. The system continuously analyses products, campaigns, customers, inventory, and site performance, then surfaces clear recommendations and executes tasks such as creative generation, campaign optimisation, and budget reallocation. According to Kopa.ai’s founder Donatas Benaitis, “Most e-commerce businesses could grow five to ten times faster if operational complexity wasn’t holding them back.”
How Kopa.ai Turns E‑Commerce Data Into Agentic AI Copilots
Kopa.ai is designed as a full AI operating system for e-commerce, replacing fragmented tools and manual agency workflows with a closed loop of understanding, decision, execution, and learning. Its platform converts raw business data into a structured “Kopa intelligence” layer that powers specialised AI agents able to act with confidence in real environments. These agents can interpret a merchant’s high-level goals, understand operational nuances, and begin working from a few lines of instruction, similar to delegating tasks to a top internal operator. Rather than pushing dashboards or generic suggestions, the system highlights what matters most for performance and then acts through connected tools, either autonomously or with team approval. Under the hood, Kopa.ai is building proprietary systems for structuring business knowledge, managing context, and orchestrating large fleets of agents safely at scale, so execution remains coherent as complexity grows.
Mafer AI: An AI Operating System for Formulation R&D
Mafer AI has closed a €2 million pre-Seed round to build MaferOS, an AI-native operating system for R&D teams in formulation industries such as specialty chemicals, food, beverages, cosmetics, personal care, and fragrances and flavours. Investors include Kfund, 4Founders Capital, Masia, Lavanda Ventures and several industry and technology angels. Mafer AI is targeting what it calls a silent but structural bottleneck: decades of technical R&D history trapped across lab instruments, spreadsheets, regulatory PDFs and the minds of senior experts. This fragmentation slows innovation cycles, delays product launches, and increases the risk of knowledge loss when experts retire or move on. In response, MaferOS trains proprietary models on each client’s historical data while keeping information isolated, then uses specialised AI agents to automate tasks from lab analysis and data structuring to regulatory compliance checks and formula recommendations for technical teams.
Vertical AI Solutions and the Future of Specialised AI Teams
Both Kopa.ai and Mafer AI show how vertical AI solutions are evolving into full AI operating systems designed around specific team workflows. Instead of offering horizontal tools that fit every domain loosely, they assemble specialised AI teams—agentic AI copilots orchestrated across structured data layers and integrated with existing systems. Mafer AI explicitly follows a full-stack enterprise model with proprietary models per customer and AI agents orchestrated on top, supported by Forward Deployed Engineers inside client organisations, echoing operating models seen at companies such as Palantir. Kopa.ai focuses on automating the thousands of expert decisions required to run an e-commerce operation every week. The twin €2 million rounds display investor confidence that the next wave of AI value will come from domain-specific operating systems that handle real work, not from general-purpose chatbot interfaces alone.