As artificial intelligence becomes deeply embedded into daily workflows, many organisations are discovering that increased speed can also bring increased confusion. A new Stockholm based startup, Stilla, now stepping out of stealth, wants to solve this emerging challenge by giving teams and AI systems a shared, always updated understanding of what is happening inside a company.
A Significant Pre Seed Raise
Stilla has secured five million dollars in pre seed funding to build its intelligent collaboration infrastructure. The round was led by General Catalyst with support from several angel investors who see a growing need for structured coordination between human decision makers and AI agents.
The funding marks an important early step for a product aimed at helping companies keep pace with the rapid adoption of AI while preventing teams from becoming overwhelmed by complexity and scattered information.
Solving the Coordination Problem
As organisations accelerate the use of AI tools, productivity increases but alignment becomes harder. Information is spread across multiple systems, teams work in parallel and different AI agents act independently. The result is fragmented context and significant time spent trying to understand priorities, decisions and progress.
Stilla positions itself as the infrastructure layer that sits beneath both people and AI systems. Rather than behaving like a single assistant, it connects with an organisation’s core tools including Slack, Linear, GitHub and Notion. By pulling signals from these sources, Stilla maintains a real time view of what teams are doing and why they are doing it.
This continuously updated context is then distributed across teams and AI systems to ensure coordinated execution, reduce duplication and support better informed decisions.
Founded by Experienced Product Builders
Stilla was founded by Siavash Ghorbani and Kaj Drobin, who previously helped build Shop and Shop Pay at Shopify. Their background in scaling complex product environments informs the company’s vision for the future of workplace collaboration.
Ghorbani explains that as organisations begin combining human capabilities with AI systems, speed without shared context creates confusion. He notes that establishing real time alignment across teams and AI agents is becoming the most important advantage a company can build.
Adoption Among Leading Product Teams
Even at an early stage, Stilla is already being used by teams at Spotify, Ramp, Lovable and Legora. Early adopters describe the platform as a glimpse into how future workplaces may function.
Anton Osika, chief executive at Lovable, says Stilla captures essential context automatically and turns it into coordinated action, reducing the manual effort required to keep teams aligned. Max Junestrand, chief executive at Legora, highlights that speed is essential in AI focused organisations and notes that Stilla lowers communication overhead by maintaining clarity across teams. He compares the system to an AI enabled chief of staff.
Building the Next Layer of Workplace Intelligence
With new funding secured, Stilla will focus on strengthening its infrastructure and expanding integrations with workplace tools. The company aims to enhance coordination between human teams and the growing number of AI agents that support modern product development.
The investment will also support new capabilities informed by early customer feedback. As organisations continue to adopt more AI driven workflows, Stilla plans to evolve its platform into a central intelligence layer that ensures clarity, consistency and shared understanding at scale.
Prepared for the Future of Work
Stilla’s emergence reflects a larger shift in how companies operate. As workplaces evolve into environments where humans and AI contribute side by side, the ability to maintain real time shared context becomes essential. By addressing this emerging coordination challenge, Stilla aims to shape the next generation of collaborative tools and set a foundation for more efficient, aligned and intelligent product development.
