$3.5 million in annual run rate. Two million dollars added in a single week. One founder. Zero employees.
Those are the claims from Ben Cera, founder of Polsia, an autonomous AI platform that promises to run your company while you sleep. The platform uses AI agents built on Anthropic's Claude Agent SDK to handle tasks that typically require a full team - writing and deploying code, sending emails, posting on social media, and analyzing business metrics.
Polsia assigns AI agents to different business roles (CEO, Engineer, Growth Manager) that operate on daily cycles, executing tasks without human intervention. Pricing starts at $29/month, with a $59 tier for expanded capabilities.
The revenue claims are eye-catching but unverified. The company's public-facing site offers no dashboards, investor disclosures, or third-party validation of the numbers. What we can confirm: the product exists, it's built on Claude's agent infrastructure, and it's positioned squarely at solo operators who want to scale without hiring.
This fits a growing pattern of AI-native businesses where founders use agent frameworks to replace traditional teams. The economics are compelling on paper - if you can automate engineering, marketing, and operations with AI agents priced under $60/month, your margins look nothing like a traditional SaaS company.
The bigger question isn't whether Polsia's specific numbers are real. It's whether the one-person-AI-company model holds up past early traction. Running AI agents is cheap until something breaks at 3 AM, a customer needs nuanced support, or a compliance question requires human judgment. The founders who make this work long-term will be the ones who know exactly where to draw the line between agent autonomy and their own decision-making.