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Amperity launches Pér, an AI agent with a full picture of each customer

Customer data platform Amperity has introduced Pér, an AI agent it says can hold a complete picture of every customer and act on it. The launch pairs customer-data understanding with agentic execution aimed at marketing and customer operations.

Published

Amperity has introduced a new AI agent called Pér. According to the company, the agent is designed to hold a complete picture of every customer and to have the ability to act on that view.

The product description points to two capabilities combined in one agent: a full understanding of customer data, and the ability to carry out concrete actions based on it. Where traditional customer data platforms often stop at showing a clear view of the customer, agentic products aim to go a step further and do the work.

Amperity itself is a customer data platform company that helps businesses unify customer information scattered across different systems. Layering agentic capability on top of customer data is a typical path for such vendors amid the AI agent wave of 2026.

The value proposition rests on shortening the path from insight to action. When an agent can both see a complete customer view and call the relevant systems to execute, businesses have a chance to automate workflows that once required people to switch between multiple tools.

Public details so far center on the product's positioning. Which systems Pér supports, how it integrates with existing marketing and service tools, and its pricing and availability have yet to be disclosed.

What to watch next is whether this "customer data plus agentic execution" approach lands reliably in real enterprise settings, and how permissions, compliance, and auditing are handled when an agent acts directly on customer data.

Why it matters

Amperity's move shows CDP vendors shifting from seeing the customer clearly to acting on the customer's behalf. Whether such products can resolve permissions and compliance when an agent touches customer data will decide how deeply they land in enterprises.

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