Arcade.dev is building the infrastructure layer that makes AI agents actually work in production. Their MCP runtime (a system that manages how AI agents connect to, authenticate with, and take actions across enterprise software) handles the authentication, tool reliability, and governance problems that stop most enterprise AI agent deployments from ever leaving the pilot stage.
When Arcade first engaged HAUS, they were a stealth-stage company sitting on breakthrough technology in one of the most competitive and fast-moving categories in tech. They came to HAUS with three specific, urgent challenges:
Over the course of the engagement, HAUS expanded beyond earned media into a fullyintegrated communications program spanning analyst relations, social media management, and content marketing, with each channel reinforcing the same core narrative.
Within twelve months of launch, Arcade was the company reporters called when they needed to explain what AI agents actually require to work in production.
Stealth Launch & Media Strategy
HAUS launched Arcade from stealth with a TechCrunch exclusive, the gold standard forcredibility in the startup world. The piece, written by Julie Bort and published in March 2025, framed Arcade’s $12M seed round around the central problem: AI agents were failing in production because they couldn’t securely take actions in the real world. This framing did two things simultaneously: it introduced the company and educated the market on the problem Arcade was solving.
From there, HAUS built a modular pitching sprint program: a structured approach in which individual story angles are developed, approved, and taken to press in focused bursts, independent of company announcements. HAUS developed a library of pre-approved narrative concepts that could be activated at any point in the news cycle, replacing reactive outreach with a proactive presence. Each sprint took a specific angle (security, enterprise readiness, developer infrastructure, the MCP ecosystem) and matched it to the reporters and publications most actively writing in that space.
This approach made Arcade a standing resource for journalists. Reporters covering AIinfrastructure began including Arcade in their stories organically, because HAUS had already given them the context to understand why Arcade mattered.
Within twelve months of launch, Arcade was the company reporters called when they needed to explain what AI agents actually require to work in production.
