Conduct's Series A matters because it prices a neglected zero-human company problem: most enterprise work is still trapped behind legacy systems that only a small human class knows how to change.
What Happened
On June 17, 2026, Conduct announced its $60 million Series A. The company describes itself as an AI operating system for enterprise software that ingests custom code, configuration, and dependencies so agents can analyze how business systems were built and help teams transform them faster.
The company says its platform links business processes to the code that implements them, with agents reasoning over company-specific context so a change that once took months can move in an afternoon.
Why This Is Bigger Than Another Enterprise AI Round
Many agent stories focus on net-new workflows. Conduct points at a larger surface: existing operational software that already runs logistics, supply chains, airports, and factories. Those systems are economically central and painfully slow to change.
If agents can compress the human work required to understand decades of custom code and translate business intent into safe system changes, then the value is not only labor substitution. It is organizational speed.
The Investment Signal
Conduct suggests investors are funding AI not only as a copilot for knowledge work, but as an operating layer for the messy software estates that run the physical economy. That is a stronger zero-human signal than another chatbot round because it touches the systems where business state actually changes.
It is especially notable that Conduct highlights SAP-heavy environments, where the installed base is enormous and the cost of human interpretation is already well understood.
The Take
The next autonomous company stack will not only automate greenfield tasks. It will compress the slowest human bottlenecks inside incumbent systems. Conduct is one of the clearest current bets on that layer.
Related: See our previous research on Glean, Gradient Labs, and Databricks Genie.