Stockholm-based startup Stilla has raised $5M in pre-seed funding as it comes out of stealth to develop an intelligence layer designed to improve collaboration between humans and AI in product teams. The round was led by General Catalyst, with participation from a group of angel investors.
The company is addressing growing coordination challenges as organisations deploy multiple AI systems across workflows, often leading to fragmented context, duplicated work, and misaligned priorities.
Coordinating humans and AI at scale
Stilla positions itself as an infrastructure layer rather than a standalone AI assistant. Its platform integrates with core workplace tools such as Slack, Linear, GitHub, and Notion to continuously observe team activity, decisions, and workflow progress.
By maintaining and sharing real-time context across both human teams and AI agents, Stilla aims to help organisations execute more coherently as they scale AI usage.
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Founders with product infrastructure experience
Stilla was founded by Siavash Ghorbani and Kaj Drobin, who previously worked on Shop and Shop Pay at Shopify. The founders describe alignment between humans and AI as a critical bottleneck in modern organisations, where speed without shared context can quickly lead to operational friction.
The company’s approach focuses on turning ongoing activity into a shared source of truth that supports faster, more coordinated decision-making.
Early adoption by product-led companies
Stilla is already being used by companies including Spotify, Ramp, Lovable, and Legora. Early users describe the platform as a way to automatically capture context and reduce the communication overhead required to keep teams aligned in fast-moving, AI-driven environments.
According to customers, the platform functions as an AI-enabled coordination layer that helps teams maintain focus and execution speed without adding additional process.
Product roadmap and use of funds
The new funding will be used to strengthen Stilla’s core infrastructure, deepen integrations with existing workplace tools, and develop additional features based on early product team feedback.
Stilla plans to focus on improving coordination between human teams and AI agents as organisations continue to embed AI more deeply into daily operations.
