From Generic Automation to Agentic AI Platforms
Agentic AI platforms are vertical AI operating systems that embed domain-specific workflows, tools, and knowledge into autonomous software agents that can sense enterprise data, decide on next actions, and execute tasks with minimal human oversight across a defined business function. For years, enterprises relied on generalist automation tools and chatbots that could answer questions but stopped short of owning outcomes. Today’s agentic AI platforms go further: they understand a company’s goals, observe live systems, and act directly in production environments. Instead of asking users to stitch together rules, scripts, and dashboards, these platforms encode industry playbooks into reusable agents for roles like IT asset manager, e-commerce growth operator, or formulation scientist. This shift is moving automation from horizontal, one-size-fits-all software into vertical AI operating systems tuned to specific sectors and workflows.
Tequipy: Agentic IT Operations Automation for Hardware Lifecycles
Tequipy’s €3.06 million raise highlights how IT operations automation is becoming a prime target for agentic AI platforms. The company focuses on one of the hardest problems in enterprise automation software: managing the full lifecycle of employee hardware across distributed, often global teams. Its platform coordinates device purchasing, configuration, deployment, servicing, recovery, and replacement through a single system that ties together logistics partners, inventory systems, procurement, and security controls. The idea grew from observing engineers at Revolut manually preparing and shipping laptops, a clear sign that even advanced companies still rely on human-intensive workflows. By embedding these operational patterns into an AI-driven operating layer, Tequipy turns fragmented tasks into repeatable, automated processes for more than 150 companies across 180 countries. This shows how domain-rich, role-specific automation is overtaking generic ticketing and workflow tools in IT operations.
Kopa.ai: An AI Operating System for E-Commerce Growth Teams
Kopa.ai shows how vertical AI operating systems are changing e-commerce. The company has raised €2 million to scale an agentic AI co-pilot built specifically for e-commerce teams, and by May 2026 it reached €2 million in ARR. Kopa.ai positions itself as an operating system for e-commerce, using deep industry knowledge so its agents can make expert decisions across products, campaigns, customers, inventory, and site performance. Instead of generating dashboards, the platform delivers clear, opinionated conclusions and prioritizes what needs to change next. Kopa.ai’s agents then execute tasks such as generating creatives, adjusting campaigns, reallocating budgets, or publishing updates through connected tools. As founder Donatas Benaitis said, “Most e-commerce businesses could grow five to ten times faster if operational complexity wasn’t holding them back.” This illustrates how agentic AI platforms now behave like senior operators rather than passive analytics tools.
MaferOS: AI-Native Operating System for Formulation R&D
Mafer AI’s €2 million pre-seed round underscores how agentic AI platforms are entering R&D-heavy industries. Its MaferOS is an AI-native operating system aimed at formulation industries such as specialty chemicals, food, beverages, cosmetics, personal care, and fragrances and flavours. These sectors have accumulated decades of R&D history in failed formulas, lab analyses, regulatory records, and expert decisions, yet this asset remains scattered across instruments, spreadsheets, and PDFs. Mafer AI trains proprietary models on each customer’s historical data while keeping information isolated, then structures the platform into specialised modules that automate technical decisions and workflows. According to Mafer AI, formulation innovation cycles can run five to ten times slower than the market’s competitive pace, with knowledge loss when senior experts depart. MaferOS addresses this bottleneck by turning silent institutional know-how into operational, agent-driven workflows that support faster, compliant reformulation and product development.
Why Venture Capital Is Favoring Vertical AI Operating Systems
The recent funding rounds for Tequipy, Kopa.ai, and Mafer AI signal a broader shift in enterprise automation software. Investors are backing vertical AI operating systems that encode domain expertise, rather than horizontal tools that spread thin across many functions. Each of these platforms ties AI agents to concrete, high-friction workflows: Tequipy for IT operations automation and hardware lifecycle management, Kopa.ai for growth-focused e-commerce operations, and MaferOS for formulation R&D. This pattern reflects a belief that durable value comes from agents that can own end-to-end outcomes within a specific domain, not from generic chat interfaces or rule-based automation. As agentic AI platforms mature, enterprises are likely to assemble a stack of specialized AI operating systems aligned with key functions, while traditional generalist automation tools become supporting infrastructure rather than the primary layer of intelligence.