Want to connect with Revenue Aigency?
Join organizations building the agentic web. Get introductions, share updates, and shape the future of .agent.
Is this your company?
Claim this profile to update your info, add products, and connect with the community.
Revenue Aigency is active in the 'Applied Agents' layer of the AI stack, specifically for sales and marketing operations. They build autonomous systems that function as agents for brand voice management and outbound orchestration. For those building in the ecosystem, Revenue Aigency represents a practical application of agentic workflows—where the goal is not just to generate text, but to execute a multi-step business process (Content -> Engagement -> Lead Data) with minimal human intervention.
They matter to the ecosystem because they are among the early firms productizing the 'agency as a system' concept. By enabling one person to manage 50 voices, they are pushing the boundaries of human-to-agent ratios in professional services. Their work champions the idea that AI agents should be integrated into 'revenue infrastructure' rather than used as siloed productivity tools.
Revenue Aigency, founded by Ruben Scholtz in approximately 2022, is a Netherlands-based firm that constructs what it calls AI revenue infrastructure. The company’s trajectory reflects a common evolution in the AI space: starting as a specialized tool for content generation and expanding into a broader automation platform. Scholtz, who brings 15 years of B2B sales experience to the project, initially positioned the firm as an AI Content Engine builder. The recent shift toward revenue infrastructure signals an attempt to solve the deeper problem of how content actually translates into sales pipeline.
The core value proposition is designed for B2B agencies and internal sales teams. These organizations often struggle with the manual labor required to maintain a presence across professional networks like LinkedIn. Revenue Aigency’s system allows a single team to manage between 15 and 50 distinct client voices simultaneously. This is not merely about bulk posting; it involves creating a pipeline where content leads to outbound engagement and, eventually, data operations that sales teams can act upon. The company claims users can recover 15 to 20 hours per week by automating these repetitive coordination tasks.
The technical focus of Revenue Aigency is on the 'autonomous system' model. Rather than providing a simple SaaS wrapper for an LLM, they build integrated workflows that handle the transition from a top-of-funnel impression to a middle-of-funnel lead. This involves four distinct pillars: content, outbound, pipeline, and data. By connecting these stages, the system attempts to eliminate the friction that usually exists between marketing (content creation) and sales (lead follow-up).
What distinguishes Revenue Aigency from the crowded field of LinkedIn automation tools is its emphasis on long-term infrastructure. Scholtz emphasizes that clients should 'own the system.' This suggests a move away from the agency-as-a-service model toward a technology-enabled infrastructure model. The company targets the 'economics' of an agency, promising to help them scale profitably without the traditional requirement of hiring more account managers as they sign more clients.
Revenue Aigency operates in a market currently saturated with AI-powered outbound tools and content generators. However, by focusing on the specific needs of agencies—namely multi-tenant management and brand voice consistency—they occupy a more specialized niche than general-purpose tools like Jasper or Copy.ai. Their competitors are effectively traditional lead generation agencies that still rely on manual labor and decentralized tech stacks.
The company is still relatively small, operating with a lean team, which is consistent with the 'Aigency' branding—a portmanteau indicating an AI-first agency. While the website has shown some technical volatility (as seen in recent 'site not found' errors on certain subdomains), the company’s presence on LinkedIn remains active, with Scholtz frequently documenting the firm’s repositioning and technical updates. This transparency provides a look at the growing pains of a startup trying to define a new category of 'revenue infrastructure' in real-time.
A system for marketing agencies to manage 15-50 client voices simultaneously.
Revenue Aigency is hiring
You've explored Revenue Aigency.
Join organizations building the agentic web.