Oplane raises €4.5M seed to automate threat modeling for AI coding teams
What's the deal? Malmö-based OplaneDealroom has a profile for this one. Try Dealroom → has raised €4.5M in seed funding to build automated security architecture for teams using AI coding tools. Copenhagen's Seed Capital led the round, with participation from existing investor Icebreaker.vcDealroom has a profile for this one. Try Dealroom → and angel investors including Emil EifremDealroom has a profile for this one. Try Dealroom →, Robert LagerströmDealroom has a profile for this one. Try Dealroom →, and Joakim Nydrén.
Founded in 2022 by Emil Kvarnhammar, Oscar Andersson, and Anders Söderling, Oplane automatically maps codebase architecture, identifies system-level security requirements, and delivers fixes directly into developer workflows. The funds will go toward expanding commercial operations in Europe, integrating with AI coding tools like Claude Code, Cursor, and GitHub Copilot, and hiring across engineering, cybersecurity, QA, and go-to-market.
Why now? AI coding tools are spreading fast across enterprise engineering teams — and security can't keep up. When code is written, refactored, and deployed at machine speed, human-led security reviews and manual threat modelling become physically impossible.
"Almost everyone is adopting AI coding tools, whether we talk to Enterprise, Big Tech or AI hypergrowth companies," said Kvarnhammar. "They're not just shipping faster, they're accumulating architectural risk at the same speed."
Unlike legacy tools that flag vulnerabilities after deployment, Oplane embeds security-by-design into the development workflow, catching risk before it ships. It is already deployed in production at Miro and Tandem Health, where adoption has scaled from a handful of repositories to several hundred, with thousands of threat models run in months.
What could go wrong? Oplane faces stiff competition. CEO Kvarnhammar acknowledges that Anthropic, OpenAI, and established cybersecurity players are active in the same domain. As AI coding tools evolve, the major platforms could build security features directly into their products, narrowing the gap Oplane aims to fill.
The company also needs to prove it can scale beyond early adopters. Moving from a handful of production deployments to broad enterprise adoption across Europe is a significant leap for a seed-stage startup.
The signal: Seed Capital, a Copenhagen-based investment fund, is backing the thesis that AI-driven code generation demands an entirely new security layer — one that legacy tools weren't built to provide. With enterprise teams at companies like Miro already scaling Oplane from a handful of repositories to several hundred, the startup's early traction suggests that automated threat modelling is shifting from a niche concern to a core infrastructure requirement as AI coding tools become standard.
Read more: ArcticStartup
