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CodeWords raises $9M to build AI agent that proactively creates business automations

CodeWords raised $9M in seed funding to develop Cody, an AI agent that spots and builds business automations on its own rather than waiting to be asked. The tool now handles over 500,000 tasks monthly.

1 min read
IT and development

CodeWords raises $9M to build AI agents that automate without being asked

CodeWords has secured $9 million in seed funding to develop AI agents that automatically build business automations instead of waiting for users to request them. Visionaries led the round, with participation from Firstminute Capital, Sequel, and Illusian, a Helsinki-based family office co-founded by Supercell Chief Executive Ilkka Paananen.

The company's core product, Cody, operates differently from typical no-code automation tools. Instead of users discovering a repetitive task and asking an AI to solve it, Cody watches business operations continuously and suggests automations from day one.

How it works

Cody learns about a company's tools, goals, and operational patterns, then builds automations that run in the background across thousands of integrations and messaging platforms. The automations execute without human intervention.

In a finance team example, Cody connected Dropbox to Monday.com and Docusign to automate a deal monitoring workflow within minutes. A content agency used Cody to identify relevant content, draft social posts, and route them through WhatsApp for approval before publication.

CodeWords reports Cody now handles more than 500,000 tasks monthly.

New capabilities

The company is launching three features alongside the funding announcement:

  • Contextual memory: Cody learns from past activity rather than starting fresh each time
  • WhatsApp support: The agent can contact users on the platform where they work
  • Cody modes: The agent adapts its planning and execution approach based on task type

The platform handles deployment, setup, and ongoing maintenance, allowing nontechnical staff to benefit from automation without technical configuration.

For IT and development teams evaluating AI agents and automation solutions, understanding how proactive agents differ from reactive tools matters for integration planning and workflow redesign.

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