The construction industry is entering a new phase of digital transformation, and one Stockholm based startup is positioning itself at the centre of that shift. Brickanta, a company building an agentic AI operating system for construction teams, has secured 8 million dollars in seed funding to expand its platform across Europe and beyond.
Automating the Foundations of Construction Planning
Construction projects depend on meticulous pre construction work, from estimating and bid evaluation to procurement. These tasks determine timelines, costs, and risk, yet they remain highly manual and fragmented across most of the industry. Brickanta aims to change that by building an AI native system that automates the most time consuming and error prone parts of the process.
The platform blends industry knowledge, project documentation, building standards, and internal company data to produce structured analyses. Teams can identify gaps early, review and price potential change orders, and prepare procurement materials in minutes rather than days. By accelerating these steps, Brickanta seeks to improve accuracy, reduce delays, and minimise unforeseen costs.
Global Investor Support and Industry Momentum
The seed round was led by Northzone and included participation from well known global athletes, founders of Lovable and Tandem Health, and angel investors connected to OpenAI, Google, and Meta. Y Combinator and SSE Business Lab also increased their support, reinforcing long term confidence in the startup’s mission.
Brickanta’s customer traction reflects this momentum. The company has introduced its platform to construction teams in eleven countries across four continents and now counts hundreds of active users. These early adopters represent a new generation of builders seeking tools that can keep pace with the operational complexity of modern construction.
An Industry Ready for AI Acceleration
Co founder and CEO Lucas Otterling said that although construction is often framed as an industry resistant to new technology, the reality on the ground is different. Teams have shown strong demand for AI systems built around actual workflows and challenges, particularly in pre construction where small errors can trigger large downstream consequences.
Otterling noted that the ability to surface risks earlier and calculate change order impacts with greater precision can significantly influence the viability of a project. Procurement teams have reported similar gains, particularly when generating category specific RFP packages at speed.
A Productivity Leap for an Under Digitised Sector
Northzone Partner Pär Jörgen Pärson explained that the construction industry has struggled with productivity growth for decades, in part due to the sheer volume of documents, instructions, and variables that decision makers must navigate. AI offers a route to manage this complexity at scale, reducing costly inefficiencies.
Brickanta’s approach addresses that need directly. The platform ingests and understands large quantities of structured and unstructured data, then generates tailored analyses, recommendations, and documentation aligned with the standards of the market. This combination of domain specific intelligence and agentic automation sets it apart from broader AI tools.
Expansion Plans and Deeper European Integration
Brickanta will use the new funding to accelerate expansion across Europe, where shared frameworks such as the Eurocodes create an opportunity to deploy AI solutions more consistently across borders. Growth plans include scaling engineering and product teams, expanding customer delivery capacity, and strengthening relationships with US based AI communities through Y Combinator and partnerships with large language model developers.
With construction activity rising globally and digitisation becoming a strategic priority for contractors, Brickanta is positioning itself as the operating system for modern pre construction workflows. By building AI agents that handle the repetitive and complex work, the company aims to give builders the tools they need to plan faster, reduce risk, and build more efficiently.
