CodeWords secures £6.6m to deploy AI agent automating workflows for non-technical teams
This article covers CodeWords, an automation startup, raising £6.6m in a growth funding round to accelerate product development and scale its go-to-market and engineering teams. The funding is intended to support wider deployment of Cody, an AI agent that designs and runs automated workflows for non-technical teams, agencies and operators.
CodeWords has raised £6.6 million in a growth funding round to accelerate product development and scale its go-to-market and engineering teams. The London-based automation startup says the money will support wider deployment of Cody, its AI agent that designs and runs automated workflows for non-technical teams.
Why it matters
Automation tools often still require technical setup or ongoing IT involvement. CodeWords aims to reduce that barrier by letting non-technical teams describe tasks and have an agent build, run and maintain integrations and workflows. If the platform delivers on that promise at scale, it could change how businesses approach operational automation and lower the cost of routine orchestration across apps and messaging channels.
The company already reports Cody running 500,000 workflows a month, a metric investors and customers will watch as the team expands commercial efforts.
Inside the product
At the core of CodeWords is Cody, an AI agent that maps a business’s tools, goals and patterns to suggest and execute automations without manual engineering. Workflows can span integrations and messaging tools and handle tasks such as connecting systems, managing documents, generating content and publishing outputs.
CodeWords positions Cody for non-technical teams, agencies and operators. Examples the company cites include a finance team that automated deal-flow monitoring by linking Dropbox to Monday.com and routing documents for signature, and a content agency that used Cody to source material, draft posts, request approvals via WhatsApp and publish automatically. Another agency deployed multiple agents to deliver lead generation services.
The product roadmap announced alongside the funding adds contextual memory so Cody can learn from past activity, WhatsApp support to surface approvals and interactions in existing channels, and task-specific modes that change how the agent plans and executes based on the problem at hand.
CodeWords emerged after a pivot from Agemo, an AI research lab focused on reasoning through code. The founders contributed to the ARC-AGI benchmark before shifting to a product that could operate reliably for non-technical users. The team says the move from research to a beta product happened within months.
Who are the investors?
The round is funded by venture investors. CodeWords did not disclose an extended cap table, but confirmed that Visionaries is the lead investor, with participation from firstminute capital, Sequel and Illusian.
In the announcement, Robert Jäckle, Partner at Visionaries, said:
Most automation tools promise simplicity but still require technical thinking underneath. CodeWords is one of the first products we've seen where that truly disappears — you describe the task, and Cody runs it. What impressed us just as much is the team's speed and conviction: Aymeric and Osman moved from research to a working product in a matter of months. That combination is very rare and hugely exciting.
The company says the funds will be deployed primarily to grow engineering capacity and commercial operations so Cody can onboard more customers and support additional channels and integrations.
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Founder perspective
In the announcement, Aymeric Zhuo, Co-founder & CEO at CodeWords, said:
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.
In the announcement, Osman Ramadan, Co-founder at CodeWords, said:
We want users to feel like they're working with an agent that already knows their business. Cody learns continuously — so instead of starting from scratch every time, it's already thinking about what you need next.
Their comments underline the product focus: continuous learning and reducing friction for teams that currently rely on IT or engineering to automate processes.
The bigger picture
The deal sits at the intersection of two trends: renewed investor interest in automation and a wave of startups productising advanced AI research for practical workflows. CodeWords’s trajectory — a rapid pivot from a research lab to a commercial product — mirrors other UK companies attempting to move from capability demonstrations to reliable, enterprise-ready automation.
For buyers, the question will be whether an agent-driven approach can match the reliability and security requirements of business processes while remaining simple to operate. For investors, metrics such as workflow volume, retention and the breadth of integrations will determine whether this model scales economically.
This funding round adds to activity across the UK and Europe in automation and agent-driven productivity tools, signalling continued appetite from automation investors for companies that simplify operational complexity without a heavy engineering lift.
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