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.
HAUS also coordinated in-person visits to the Arcade office from reporters at the Wall Street Journal, The Information, and Bloomberg, pairing each visit with live product demos. These sessions gave journalists direct access to the technology and the team, translating into the kind of informed, substantive coverage that press releases alone cannot produce.
HAUS layered in newsjacking (responding rapidly to breaking news with Arcade’s perspective, to earn coverage in stories already in motion) and reactive thought leadership on top of the sprint program, ensuring Arcade could comment authoritatively whenever AI agent infrastructure, MCP, or enterprise AI security entered the news cycle.
Analyst Relations
As the sprint program gained traction, a more ambitious challenge came into focus. Arcade was defining a market that had no agreed-upon name or frame of reference. With category ownership identified as the next strategic priority, HAUS developed the plan to pursue it: help the market understand what the MCP runtime was, why it mattered, and why Arcade was the company that built it. Analyst relations became the primary vehicle for that effort.
As Arcade’s product matured and the enterprise pipeline grew, HAUS identified analyst relations as a critical gap. Enterprise technology buyers routinely consult Gartner, Forrester, and IDC before making infrastructure decisions, and Arcade was invisible to those analysts because the category itself was too new.
HAUS developed a dedicated AR program designed to educate before selling. The strategy was to help analysts understand why authenticated tool-calling (the ability for an AI agent to securely verify a user’s identity before taking actions on their behalf) represented the critical production bottleneck for AI agents, creating the conceptual framework before positioning Arcade as the solution. Deliverables included:
Social Media & Content
HAUS expanded the program again in early 2026 to include social media management andcontent creation, bringing the full communications stack under a single integrated strategy. HAUS managed Arcade’s LinkedIn and X presence across both the corporate page and the CEO’s personal profiles, operating social as a direct extension of the PR strategy, with every post rooted in the same messaging and narrative frameworks.
The approach was reactive to news cycles, tied to the messaging matrix developed for PR, and designed to build genuine audience relationships with the two audiences that matter most to Arcade: enterprise AI/ML decision-makers and the technical developer community.
HAUS also developed a content marketing strategy built around Arcade’s founder. The content team conducted regular thought leadership sessions with the founder, extracting his perspective on AI agent infrastructure, enterprise security, and the evolving MCP ecosystem, then shaped that raw material into blog posts and bylined articles. Those pieces fed directly into the social media calendar, with each post extending the reach of the underlying ideas across LinkedIn and X. The result was a self-reinforcing cycle: founder perspective became owned content, owned content became social posts, and social posts drove traffic back into the sales funnel.
Analyst Relations
Within the AR program, HAUS delivered:
Arcade moved from unknown stealth company to a go-to source for reporters covering AI agent infrastructure, MCP, and enterprise AI adoption within twelve months of launch.
LinkedIn Performance (March to April 2026)
In March 2026, the first full month of HAUS social management, LinkedIn impressions rose 54.4% month-over-month and post engagement jumped 89.4% compared to the prior period. Content volume increased 200% as HAUS built out the publishing cadence from scratch. The March MCP Dev Summit in New York , coordinated with HAUS’s PR efforts, drove the month’s highest-performing content.Carousel posts consistently drove the highest average engagement across both months,followed by video, a signal HAUS used to inform the Q2 content calendar.
X (Twitter) Performance
These figures reflect the account’s first month of active management after a near-zero baseline. By April, impressions continued climbing to 1K as the account found its footing, while engagement metrics normalized, which is expected as an account transitions from an initial burst of activity into a steadier, sustainable publishing cadence.
Analyst Relations
Within the AR program, HAUS delivered:
Arcade went from stealth to appearing in the Wall Street Journal, Bloomberg, and Business Insider within twelve months, while simultaneously building the analyst relationships that will shape enterprise buying decisions for years to come.
