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boostU is an implementation partner in the AI agent ecosystem, specifically focusing on the application and services layer. They are relevant to the ecosystem because they bridge the gap between foundation models and practical business deployment for small and medium-sized enterprises. By developing "custom GPT agents" and "recruitment agents," they provide evidence of how agentic workflows can be productized within traditional industries like HR and marketing.
They occupy the position of an AI systems integrator. Their work with agents focuses on lead generation and recruitment automation, where agents are tasked with qualifying leads or managing candidate interactions. For developers and companies in the agent stack, boostU represents a key downstream consumer—a firm that takes base technologies and builds the specific surfaces and integrations required for end-user adoption. They are champions of the "copilot" model, pushing for AI to be integrated into existing CRM and sales workflows rather than operating as standalone tools.
boostU is a digital performance marketing firm based in Herentals, Belgium. While they have historical roots in the agency model, the company has restructured its operations around a three-hub system: Scale, Lab, and Studio. This transition reflects a broader trend in the professional services market where agencies are moving beyond campaign management into the development of proprietary AI workflows and custom software. They market themselves as an "AI Hub," a term they use to distinguish their work from firms that merely use third-party AI tools for copy generation.
The company's work is organized into specialized units. boostU scale focuses on the traditional digital marketing stack, including CRM implementation, inbound sales funnel design, and outbound automation. This unit handles the performance marketing and growth strategy for brands like Corsendonk Hotels and Kikkoman.
boostU lab represents the core of their AI activity. This division builds custom GPT agents, copilots, and AI integrations designed for specific business operations. Their project for Enplooi, which involved building a lead and recruitment agent, provides a look at how they apply LLMs to professional workflows. The Lab also runs "Start-to-AI" workshops, which function as an entry point for companies that are beginning to evaluate where generative AI fits within their existing organizational structure.
boostU studio is the design and development arm. It handles branding, web development, and UX/UI design, often acting as the front-end builder for the AI solutions developed in the Lab. By maintaining this in-house studio, the company manages the entire lifecycle of an AI product, from the underlying model integration to the final user interface.
With a team of over 20 digital marketeers and a portfolio of 200+ projects, boostU occupies the space between a technical software house and a creative agency. They focus on measurable business impact, which in their context means building data-to-insight dashboards and automating lead generation. They are particularly active in the Belgian market but express a clear ambition for international growth.
Their technical approach relies on integrating LLMs into existing sales and marketing stacks. Rather than building foundation models, they specialize in the application layer—customizing GPT-based agents to handle specific tasks like recruitment screening or lead qualification. This approach addresses a common pain point for mid-market companies that have access to models like GPT-4 but lack the internal engineering resources to connect those models to their CRM or business data. By focusing on these integrations, boostU is building a specialized practice in agentic workflows for the marketing and HR sectors.
Custom GPT agents, copilots, and AI integrations for business workflows.
A modern, header-only PEG parser combinator library for C++23
Open-methods for C++ 17
A C++17 MQTT client based on Boost.Asio.
A C++14 Implementation of IEEE 754 Decimal Floating Point Numbers
C++11 implementations of later standard components
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