We raised $5.2M to build security into AI-first development
Our seed round, led by Seed Capital with Icebreaker.vc and a group of angels, brings continuous, architecture-level threat modeling to the engineering teams building fastest with AI.
Video coming soonWe've raised $5.2M in seed funding. Seed Capital led the round, with participation from Icebreaker.vc and angel investors from Neo4j and Google. We're putting all of it toward one goal: making secure software the default for teams building at AI speed.
Security can't keep up with AI
Almost every engineering team we work with is adopting AI coding tools, from enterprises and Big Tech to AI hypergrowth startups. They're not just shipping faster; they're accumulating architectural risk at the same speed. AI coding tools are built to solve the problem directly in front of them, not to keep a system secure as it grows.
When code is written, refactored, and deployed at machine speed, the old safeguards stop keeping up. Human-led security reviews, manual threat modeling, and architectural sign-offs can't run fast enough to matter. Vibe coding has moved from side projects into the core of enterprise engineering, and architectural risk now piles up as fast as teams build.
I've spent years trying to solve this at scale with human capacity, and it's impossible. It has to be addressed with agentic solutions, tightly embedded in how a team already builds. Secure development lifecycle is no longer a dream.
Built into the agentic workflow
That's what Oplane does. We're the automated security architect for the AI-native lifecycle. Instead of reacting to vulnerabilities after they ship, Oplane embeds security by design directly into the agentic workflow: it maps your architecture into real-time asset graphs, identifies system-level security requirements, and delivers contextual fixes straight into developer tools. We secure the intent before it becomes risk, so AI-generated architecture is resilient by default.
Already in production
It's already working in production. At Miro and Tandem Health, Oplane has scaled from a handful of repositories to several hundred, with thousands of threat models run in a matter of months. More pilots are underway, with new customers to share in the coming weeks.
For any team building at AI speed, this isn't a nice-to-have, it's essential. The Oplane team pairs deep security expertise with real software-development experience, an edge few others have.
What the funding unlocks
The new funding goes toward scaling go-to-market and deepening our integrations with the tools teams already build in: Claude Code, Cursor, and GitHub Copilot. We're also growing the team with senior hires across software engineering, security, QA, and go-to-market.
If you're building at AI speed, we want security that keeps up with you. That's the company we're building from Malmö, and this round lets us build it faster.
Security that keeps up with your codebase
See Oplane map your architecture and catch the risks AI-paced development introduces, before they ship.