Amperity

Build and activate customer profiles with AI in your data lakehouse.

Usage Based

Description

Amperity provides an AI-driven platform designed to help businesses unify and understand their customer data. By connecting directly to a company's data lakehouse, such as Databricks or Snowflake, it works to resolve customer identities from disparate online and offline sources without extensive custom coding. The platform uses AI models, which can be customized, to create accurate Customer 360 profiles, identifying hidden connections and linking data points to form a comprehensive view of each customer.

The system facilitates data activation and self-service analytics, enabling business users to explore customer data, build segments, and launch campaigns through a user-friendly interface enhanced by generative AI (AmpAI). Amperity features tools for data validation and quality assurance, along with a library of pre-built pipelines (Audience Hub) to efficiently send enriched customer data to various destinations. Security and compliance are emphasized, adhering to standards like SOC 2, GDPR, and HIPAA.

Key Features

AI-Powered Identity Resolution: Links customer profiles from online and offline PII data.
Customer 360 Profile Building: Generates accurate customer views with high-value attributes and data validation.
Generative AI (AmpAI): Enables self-service insights, audience comparison, and campaign building.
Audience Hub: Ships data faster via 200+ pre-built pipelines with workflow automation.
Direct Data Lakehouse Integration: Connects seamlessly with Databricks, Snowflake, or custom storage.
Schema-Free Data Ingest: Ingests data without rigid schema requirements.
Customizable Segmentation: Allows tailored audience creation.
Reverse ETL Capabilities: Sends enriched data back to operational systems.
Security & Compliance: Adheres to SOC 2, GDPR, HIPAA standards.

Use Cases

Unifying disparate customer data sources.
Creating comprehensive Customer 360 views.
Resolving complex customer identities accurately.
Empowering business users with self-service analytics.
Building and activating targeted audience segments.
Improving customer engagement and loyalty.
Streamlining data activation for marketing campaigns.
Integrating customer insights within a data lakehouse architecture.

Frequently Asked Questions

How is usage calculated?

Usage is tracked across the platform and charged based on the number of Amps consumed.

What are Amps?

An Amp is a normalized unit capturing your use of platform capabilities to build and activate data. The number of Amps depends on the action performed and data processed.

What impacts usage?

Usage (Amps consumed) is driven by the features utilized, the volume of data processed, and the complexity of operations in your workflows.