By Elena Vasquez

Minerva CEO Jackson Engles says the data behind his AI startup will probably hold competitive value for no more than a couple of years. "Yes, sure, we have data that can help create better outcomes," Engles told AdExchanger. "But is it a long-term, durable moat? Probably not."

That admission is unusually blunt for a founder. It also frames the core question hanging over Minerva and the wider marketing technology sector: if data is not a moat, what is?

What did Minerva build?

Minerva is an AI startup that has constructed what the trade press would call an agentic CDP. A CDP, or customer data platform, is software that unifies customer records from multiple sources into one profile marketers can act on. "Agentic" means the system uses autonomous AI agents (software programs that plan and execute tasks with limited human supervision) rather than waiting for a human analyst to run each query.

The company itself resists that label, per its own positioning in AdExchanger's coverage. The resistance is a positioning choice, not a technical one. Vendors increasingly treat "CDP" as a legacy category with dated connotations. An AI-native startup wants to be read as something new.

Why does the CEO discount data as a moat?

Engles' argument rests on a simple mechanism. Proprietary data does generate better model outcomes today. But the advantage decays as models improve, as competitors accumulate similar data, and as the base capability of AI systems approaches commodity status.

The window he implies is short: roughly two years. After that, the value must come from somewhere else — product execution, workflow integration, or distribution.

What does this signal for B2B marketers?

The candid framing from Minerva's chief executive carries a lesson for buyers of marketing technology. A vendor's claim of exclusive data advantage deserves scrutiny, because at least one AI founder says the same advantage is perishable by design.

The relevant questions for procurement teams are straightforward:

• Does the vendor's advantage survive if its data becomes replicable?
• Is the product's value in the AI agents themselves, or in the workflows they plug into?
• Does the vendor's own CEO describe the data edge as durable, or as temporary?

Engles' honesty sets a benchmark. He told AdExchanger that his data "can help create better outcomes" today, while conceding it is "probably not" a durable moat tomorrow.

What comes next?

The two-year clock Engles implies is the number to watch. If data advantages across the agentic CDP category erode on that schedule, differentiation will shift from data assets to execution speed and customer retention.

For now, Minerva's positioning test is whether it can convert a temporary data edge into something competitors cannot copy before the window closes.