Building AI capability through collaboration: Coretura, Hubbau, and TokenTek rethink how AI competence is developed
As demand for AI capability accelerates, organizations are discovering that building long-term competence is harder than launching pilots or running isolated initiatives. What ultimately limits progress is not ambition, but the ability to build, retain, and continuously evolve AI capability as the technology itself is evolving faster than organizations can adapt.
This challenge is the starting point for an AI Specialist Graduate Program currently running at Coretura, developed jointly with Hubbau and TokenTek. The program, which started in early February, combines long-term talent development with continuously updated applied AI expertise — embedded directly in a real production environment.
A shared response to a shared challenge
Across many organizations, AI initiatives deliver early results, but ownership and continuity often lag behind. When projects or engagements end, teams are often left without the ownership, continuity, and internal capability required to keep AI systems running, evolving, and delivering value over time.
This program is designed to address that gap by building AI capability inside the organization from day one. Participants are employed by Hubbau and embedded full-time within Coretura’s teams, following a structured specialist track that ensures continuity, retention, and long-term development rather than short-term delivery.
Distinct roles, shared outcome
Each partner plays a clearly defined role — and it is the combination of these roles that enables sustainable AI capability.
Coretura provides real systems, data, and production-grade use cases where AI is applied in practice. Hubbau is responsible for the long-term talent model: recruiting, employing, and developing early-career engineers through a structured program designed to build internal capability over time.
TokenTek contributes deep applied AI expertise grounded in day-to-day delivery with customers. As a specialist company working continuously with the latest generative AI and agent systems in production, TokenTek ensures that what is taught in the program reflects current engineering practices, real constraints, and how AI solutions are actually built, operated, and evolved today — not static curricula or theoretical models.
Together, this creates a model where talent, expertise, and real delivery are developed in parallel, allowing internal AI competence to grow and stay current as the technology evolves.
Beyond training and consulting
The program deliberately sits outside traditional categories. It is not a short-term consulting engagement, and it is not a classroom-based training initiative. Instead, it integrates learning, delivery, and employment into a single model that allows AI competence to develop alongside real responsibility inside real teams.
“Our shared ambition is to help organizations move from AI ambition to operational capability,” says Oscar Hällström, CEO of Hubbau. “This is about building competence that compounds over time - not temporary delivery.”
As generative AI reshapes both entry-level work and advanced engineering roles, organizations are rethinking how future specialists are developed. Collaborative models like this offer a way to combine structured early-career development with meaningful production experience and continuously refreshed technical depth.
A blueprint for sustainable AI capability
For Coretura, an AI-first organization built from the ground up as a software company, the collaboration supports a strategy of embedding AI into everyday engineering practice. For Hubbau and TokenTek, it demonstrates how long-term talent programs and applied AI expertise can be combined to help organizations build internal capability that does not disappear when an initiative ends.
“We are an AI first company.” says Blake Kashiwagi, CTO of Coretura. “This collaboration allows us to grow that capability in a structured way, while giving early-career engineers the opportunity to participate in the development of relevant products. They are part of establishing best practices that will help transform the commercial vehicle industry.”
As more organizations look to move AI from experimentation to operation, the collaboration points to a practical blueprint for how AI competence can be built - and sustained - over time.
About Coretura
An independent, AI-first technology company, Coretura is building the world’s first software-defined vehicle (SDV) platform for trucks, buses, and heavy equipment. Founded through a partnership between Daimler Truck and the Volvo Group, the company delivers a full-stack platform - from high-performance computing and core vehicle software to SDKs and developer tools. One language, one standard, one secure infrastructure, and one unified platform enable ideas to move from concept to real-world impact faster, safer, and smarter.
Based in Gothenburg, Sweden, the company’s growing team is setting a new standard for vehicle innovation and advancing mobility at the speed of ideas.
More information about Coretura at coretura.com
About Hubbau
Hubbau helps companies identify, onboard, and develop young engineers to build long-term internal capability. More information: hubbau.se
About TokenTek
TokenTek is a Swedish specialist company in generative AI and AI agent systems. TokenTek helps organizations build and operate production-ready AI solutions, with a strong focus on real-world constraints, engineering quality, and long-term maintainability.