Mega (gomega.ai), the Brooklyn-based AI startup, today announced an $11.5 million Series A funding round to scale its network of autonomous marketing agents for small and medium-sized businesses.

The platform uses persistent AI agents to handle end-to-end marketing execution — SEO optimization, paid ad campaigns, website content generation, GEO targeting, and continuous performance iteration — delivering enterprise-grade results without the overhead of traditional marketing agencies.

Founded in 2025 by Robbie Schneidman and Lucas Pellan, Mega has already reached approximately $10 million in annualized revenue and serves more than 500 SMB customers in just ten months.

How the Agents Work

Unlike one-off generative tools, Mega’s agents operate as a coordinated network:

• Continuously monitor performance data
• Adjust campaigns in real time
• Generate and publish optimized content
• Manage budgets across channels
• Maintain long-term context for each client’s brand and goals

The system draws from multiple foundation models (not tied to a single provider) and includes human oversight gates for final approvals where needed.

Funding & Backers

The Series A was led by Goodwater Capital, with participation from Andreessen Horowitz, Atreides, SignalFire, and Kearny Jackson.

The round will fuel team expansion (currently ~34 employees across Brooklyn and Montreal) and deeper agent autonomy as the company targets businesses with $500K–$20M in annual revenue.

The Future: Autonomous Marketing Teams

This raise highlights how agentic AI is now penetrating everyday business operations at the SMB level. Marketing — traditionally one of the most fragmented and expensive functions for small companies — is rapidly becoming autonomous infrastructure: always-on agents that plan, execute, and optimize without constant human prompting.

Mega’s momentum arrives amid a broader wave of production-grade agent deployments (Microsoft Copilot Cowork, Gradient AI in insurance, Rowspace in private equity). For the autonomous AI ecosystem, it proves that reliable, governed agent networks can deliver measurable ROI in creative and operational workflows that were previously considered too subjective for full automation.

As more SMBs adopt these systems, the line between “AI-assisted marketing” and fully autonomous growth engines will disappear — accelerating the shift toward agent-first business operations across the economy.