Kanu AI Raises $11.7M to Turn Workflows Into Software

Kanu AI has emerged from stealth with a product built around an ambitious enterprise-AI idea: employees should be able to demonstrate a process and have software learn how to execute it.

What happened

The company raised $11.7 million, led by Trilogy Equity Partners with participation from a16z speedrun, BMW i Ventures and Accel.

Kanu lets employees demonstrate how they perform a task and then converts those workflows into operational software running inside the customer's cloud.

Customers retain control over model choice, data access, business logic and human approvals.

Why it matters

Traditional enterprise automation often requires teams to document a process, configure integrations and encode rules manually.

That creates a large implementation burden.

Learning directly from how employees perform the task could shorten that setup process substantially.

The harder challenge is reliability: enterprise workflows often contain exceptions and judgment calls that are difficult to infer from a small number of demonstrations.

The bigger picture

Agentic software is gradually shifting from predefined copilots toward systems that learn operational behaviour.

If that approach works, enterprise software could become much more adaptive.

Instead of buying a fixed application for every workflow, companies could create internal systems from their own processes.

Kanu remains early, but its product illustrates how AI could blur the boundary between using software and building software.