$11.5M Series A, Led by Goodwater Capital

Brooklyn startup Mega has raised an $11.5 million Series A led by Goodwater Capital, with participation from Andreessen Horowitz, Atreides, SignalFire, and Kearny Jackson. The company runs a network of AI agents that take over much of the work traditionally handled by a local marketing agency, continuously running SEO, ad campaigns, and website updates instead of the periodic, manual review cycle most small businesses are used to.

Gaming Project to Marketing Platform

Mega targets businesses generating roughly $500,000 to $20 million in annual revenue, the kind of company that spends real money on marketing but has no in-house marketing team. Instead of outsourcing to an agency, these businesses plug into Mega's system of specialized AI agents, each handling a specific function such as keyword research, ad optimization, content creation, or campaign analysis. A coordination layer ties the agents together so signals from one part of the stack (like which keywords are converting) flow into the others (like which ads or landing pages to adjust).

Cofounder Lucas Pellan and Robbie Schneidman built the tooling almost by accident, using it to grow traffic for a gaming platform they later shut down in favor of the marketing software. Pellan says organic search traffic went from 10,000 clicks a month to a million once they applied the approach internally, which is what convinced them to pivot the whole company.

$10M ARR in Ten Months

Mega charges customers between $800 and $3,000 a month, closer to an agency retainer than a typical SaaS subscription, while businesses keep paying their own ad budgets on Google and Meta directly. The company reports more than 500 customers and roughly $10 million in annualized revenue reached within ten months of launch. Mega says the platform helps customers generate about 20% more leads from the same ad spend, with performance data from across its customer base feeding back into improvements for everyone on it.

About 55% of marketing tasks now run end to end through automation, with 35% reviewed by a human and 10% still fully manual. Much of the customer base sits in overlooked, high-volume service categories: dentists, personal injury law firms, home services contractors, and medical practices, businesses that want customers, not marketing software to manage.

Why Investors Bet Here

The bet mirrors a broader shift industry watchers like ChiefMartec's Scott Brinker have flagged: marketing platforms moving from campaign management tools into systems that operate continuously rather than waiting for a human to log in and check performance. Mega's model also reframes the pricing conversation, competing less against SaaS tools and more directly against the agency retainer itself.

The Bigger SMB Marketing Shift

Mega is a clear example of agentic AI moving down-market into a segment that has historically been underserved by both software and agencies alike: the SMB that can't justify a full marketing hire but still needs consistent execution. If the model holds, it puts real pressure on the traditional local agency business, not by automating away creative strategy, but by taking over the operational grind of running campaigns day to day. It's also a reminder that "AI agent" funding rounds aren't only chasing enterprise martech buyers; there's a parallel land grab happening at the small business end of the market.