London-based CodeWords closed a $9 million seed round to scale Cody, an AI agent that observes business operations and proactively builds automations without user prompts. Visionaries led the round with participation from firstminute capital, Sequel, and Illusian, the Helsinki-based family office co-founded by Supercell CEO Ilkka Paananen, according to SiliconANGLE.
The company, operated by Agemo AI Ltd., reports Cody now handles more than 500,000 workflows per month across thousands of integrations and messaging channels, per Startup Magazine.
The Product Thesis
Cody’s differentiation from existing automation platforms (Zapier, Make, n8n) is proactive execution. Rather than waiting for users to identify repetitive tasks and configure workflows, the agent sits in the background observing tools, goals, and operational patterns from day one. It suggests and builds automations that run without human interaction.
“The best operators don’t wait to be asked,” co-founder Aymeric Zhuo told SiliconANGLE. “We built Cody on the same principle, an agent that learns about your business, sees what needs doing, and delivers outcomes.”
Co-founder Osman Ramadan described the learning model: “Cody learns continuously, so instead of starting from scratch every time, it’s already thinking about what you need next.”
Use Cases in Production
The company cites several deployed workflows. A finance team automated deal-flow monitoring by connecting Dropbox to Monday.com, with documents routed through DocuSign for signatures. A content agency deployed Cody to source material, draft posts, route approvals via WhatsApp, and publish automatically. Another agency runs multiple agents delivering lead generation services, per EU-Startups.
New Capabilities
Alongside the funding, CodeWords launched three additions: contextual memory allowing Cody to learn from past activity, WhatsApp support for surfacing approvals in existing channels, and task-specific modes that change how the agent plans and executes based on problem type.
Origins
CodeWords emerged from Agemo, an AI research lab. Founders Zhuo and Ramadan contributed to the ARC-AGI benchmark before pivoting to a product targeting non-technical operators. The transition from research to a working product happened within months, according to the Startup Magazine report.
The funds will be deployed to grow engineering capacity and commercial operations. The target market: agencies, go-to-market teams, and operational staff who currently use manual processes or struggle with the technical configuration that existing no-code tools still require.