From Point Tools to Vertical AI Operating Systems
Vertical AI platforms are specialized AI operating systems built for a specific function or industry, designed to automate expert workflows, consolidate fragmented software stacks, and act as a unified control layer for domain teams managing complex, repetitive decisions. Instead of teams juggling separate analytics, automation, and communication tools, these platforms aim to become the system of record and execution for a narrow but critical slice of work. They promise enterprise team automation that reflects how a particular function actually operates, from data models to approval flows. This shift contrasts with horizontal AI tools that serve generic use cases with limited context. For investors and enterprises, the appeal is clear: purpose-built AI operating systems can plug into existing stacks, absorb domain knowledge, and take on more of the daily workload, turning scattered point solutions into a coherent, AI-first environment for specialized teams.
Kopa.ai and Rep AI: Vertical AI for Ecommerce Teams
Ecommerce is emerging as a proving ground for vertical AI platforms. Kopa.ai describes its product as an operating system for ecommerce teams, with agentic AI that understands merchant goals and can make thousands of small expert decisions each week. The public version launched in December 2025 and, by May 2026, the company reports reaching €2 million in annual recurring revenue, backed by a €2 million Seed round co-led by XTX Ventures and Practica Capital. Rep AI is taking a parallel path with a unified AI layer that connects pre-purchase intent detection, onsite conversion assistance, and post-purchase support. After its earlier funding, Rep AI added USD 6.2 million (approx. RM29.0 million) in strategic follow-on capital, including a stake from Zendesk, to strengthen integrations and governance so ecommerce organizations can replace multiple separate tools with a single coordinated platform.
Mafer AI: AI Operating Systems for Formulation R&D
In formulation-heavy industries, Mafer AI is building MaferOS as an AI-native operating system for R&D teams working on specialty chemicals, food, beverages, cosmetics, personal care, fragrances, and nutraceuticals. The company raised €2 million in pre-Seed funding from investors including Kfund, 4Founders Capital, Masia, and Lavanda Ventures, with additional backing from industry veterans and technology leaders. Its thesis is that formulation companies hold decades of underused technical data that can now train proprietary models tailored to each customer. Mafer AI targets the structural bottleneck of turning that history into faster, more reliable product development cycles. According to Mafer AI’s CEO Fernando Oliver Jané, the current generation of AI “changes that equation completely,” enabling each customer’s own data to become the engine for faster formula discovery, fewer trial-and-error cycles, and closer alignment between R&D and commercial timelines.
Vector and Demand Gen: AI for B2B Audience Targeting
Demand generation teams are also turning to vertical AI platforms that replace manual audience building with continuous, AI-driven orchestration. Vector secured a USD 10 million (approx. RM46.8 million) Series A led by SignalFire, with HubSpot Ventures participating, to expand its contact-level advertising and dynamic B2B audience targeting. Its Reveal module identifies website visitors and pushes contact-level insights into downstream systems, reducing manual list-building and speeding up response to live intent. Target keeps audiences updated by merging signals from sites, ads, CRMs, and events so that targeting stays current without repeated rebuilds. Vector frames its product as an AI layer that orchestrates the buyer’s ad journey, rather than a replacement for marketers’ creative and strategic work. In practice, this means fewer disjointed tools for attribution, retargeting, and enrichment, and more time spent on campaign strategy instead of spreadsheet maintenance.
Investor Confidence in Vertical AI Platforms
Across ecommerce, R&D, and demand generation, a clear pattern is emerging: investors are favoring specialized AI tools that look and feel like full operating systems for a function, not generic horizontal platforms. Kopa.ai and Mafer AI each raised €2 million to build AI operating systems tailored to ecommerce and formulation R&D, while Rep AI and Vector secured fresh capital to expand unified platforms that tie together intent, activation, and support. These products promise integrated data, shared workflows, and automated decision-making for specific teams, something piecemeal point tools struggle to offer. The funding momentum signals that investors see vertical AI platforms as better aligned with how enterprise teams work day to day, and more defensible over time. As these systems mature, they are likely to become the backbone of enterprise team automation in their domains, replacing legacy tools with AI-native control layers.