Stilla secures $5M pre-seed to sync AI agents and teams at scale.

Stilla, a Stockholm-born startup, has surfaced from stealth with $5M in pre-seed capital to tackle a growing pain for AI-first organisations: keeping people and autonomous agents working from the same playbook. The round was led by General Catalyst, with participation from a group of angel investors.

Founders Siavash Ghorbani and Kaj Drobin have built a service layer that continuously aggregates signals from common product tools and turns them into a live, shared context. Rather than a single personal assistant, the company positions its product as an infrastructure component that wires together systems such as Slack, Linear, GitHub and Notion so both human contributors and AI agents can see the same priorities, decisions and work status.

The problem Stilla targets is familiar to product leaders: as teams adopt multiple specialised AI agents and scale asynchronous workflows, context fragments across tickets, chats, code and docs. That fragmentation raises coordination costs and slows execution even as individual output rises. Stilla’s approach is to distribute relevant context back into the tooling stack so downstream automation and human actors operate from a consistent source of truth.

Early adopters already include teams at Spotify, Ramp, Lovable and Legora. Lovable CEO Anton Osika and Legora CEO Max Junestrand have described the platform as a practical way to reduce alignment overhead while preserving speed — effectively acting as an AI-enabled coordinator that automates routine syncs and keeps priorities visible.

Stilla will deploy the fresh capital to accelerate engineering of its core orchestration layer, broaden integrations across workplace systems and refine policy and privacy controls that enterprise customers require. The company argues that, as decision-making becomes a hybrid of humans and models, investment in a persistent context layer is a multiplier: it reduces repeated context transfer and improves the signal fed to downstream AI agents, which in turn produces more reliable automation.

Market demand for tooling that bridges collaboration and AI is rising: product teams are experimenting with multiple purpose-built models and assistants, increasing the need for solutions that prevent duplicated effort and conflicting outputs. Stilla enters a crowded but fast-growing category of workflow and orchestration offerings, distinguished by its focus on maintaining a continuously updated model of team intent across existing SaaS systems. If it scales, the startup could become a foundational piece of an enterprise AI stack — the connective tissue that helps organisations turn model-driven experiments into repeatable, aligned outcomes.