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CodeWords raises $9M to bring proactive AI agents to businesses

CodeWords raised seed funding to expand its AI automation platform, which enables businesses to run tasks through a proactive agent, aiming to make advanced automation accessible without requiring technical expertise.

London-based CodeWords, an AI automation platform, has raised $9 million in a seed round led by Visionaries, with participation from firstminute capital, Sequel, and Illusian. The round also included a group of angel investors and industry leaders such as Andrey Khusid (CEO of Miro), Mati Staniszewski (CEO of ElevenLabs), Hanno Renner (CEO of Personio), Robert Gentz (CEO of Zalando), Ilkka Paananen (CEO of Supercell), Alexandre Berriche (Founder of Fleet), Kieran Flanangan (CMO at Hubspot), and François Chollet (Co-founder of the ARC Prize), along with leaders at OpenAI, Mistral, n8n, and Zapier.

CodeWords is built around Cody, an AI agent designed to learn how a business operates and proactively build and run automations across tools and workflows. Rather than requiring manual input or technical setup, the platform enables non-technical users to automate tasks such as deal flow monitoring, content creation, and lead generation across multiple integrations.

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The system operates entirely on CodeWords’ infrastructure, handling deployment, maintenance, and execution.

The company originally started as an AI research lab under the name Agemo, focusing on neurosymbolic reasoning. Following early research recognition, the founders pivoted toward building a practical product aimed at simplifying automation for everyday business users.

CodeWords has since moved into beta and continues to expand its capabilities, including contextual memory, messaging integrations, and adaptive execution modes.

The best operators don’t wait to be asked. We built Cody on the same principle – an agent that learns about your business, sees what needs doing, and delivers outcomes,

said Aymeric Zhuo, co-founder of CodeWords.

With the new funding, CodeWords plans to scale its platform and further develop its AI agent, aiming to make automation more accessible and enable businesses without dedicated technical resources to operate more efficiently.

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