Amperity

Utilizes patented machine learning to unify fragmented customer data from online and offline sources, creating a comprehensive "identity keychain" that links all interactions to a single customer profile.

Connects disparate data sources to build complete and accurate customer profiles, generating high-value attributes for a holistic view of each customer.

Leverages advanced AI and machine learning for sophisticated data modeling, predictive analytics, and to derive actionable customer insights.

Capable of processing large volumes of data instantly, enabling immediate actions and ensuring that customer insights are always up-to-date.

Allows the ingestion of raw data from any source regardless of its format, eliminating the need for extensive schema mapping or complex Extract, Transform, Load (ETL) processes.

Minimizes or removes the need for custom code during data preparation and identity resolution, streamlining operations and allowing for more accurate profiles with controllable AI.

Designed to be highly flexible and adaptable, allowing businesses to integrate Amperity seamlessly into their current data infrastructure and existing tech stack.

Provides pre-built standard and predictive models and templates that automate data modeling across various industries, accelerating time to value.

Offers the flexibility to customize the platform to fit any specific data structure or to send data to virtually any target system.

Enables secure and efficient data sharing directly with popular data lakehouses like Snowflake and Databricks, using open, industry-standard formats, without copying data.

Provides the option for customers to store their customer data within their own cloud storage infrastructure, maintaining full control and sovereignty.

Features an extensive library of over 200 pre-built integrations for rapidly sending valuable data (such as customer attributes and segments) to various marketing, analytics, and customer service platforms for activation.

Intelligently automates and continuously monitors data transformations and workflows, ensuring constant data availability and minimizing potential downtime.

Empowers business users with intuitive tools and direct access to explore customer data independently, reducing reliance on specialized data teams and accelerating insight generation.

Provides business partners with advanced capabilities, including generative AI, to quickly find insights, build precise customer segments, write SQL queries, compare audiences, develop campaigns, and accurately measure results through a user-friendly interface.

Allows for the creation of highly granular customer segments using a simple point-and-click editor, supporting complex conditions for nested audiences.

Offers integrated tools to efficiently build, launch, and track the performance of customer campaigns.

Provides a comprehensive 360-degree view of customer interactions across various touchpoints, enabling insights into typical and atypical customer journey patterns.

Utilizes predictive segmentation and recommendation capabilities to create highly targeted user audiences based on their past and predicted behaviors.

Security is a fundamental aspect of the platform's design, embedded from its architecture through deployment and ongoing operations.

Ensures the security of data with comprehensive visibility into data transformations and provides rules-based controls over data access.

Adheres to leading security standards (Service Organization Control 2) and critical data privacy regulations (General Data Protection Regulation, Health Insurance Portability and Accountability Act), simplifying compliance efforts.

Implements granular access controls, granting users access only to the specific data they need for their roles, enhancing data protection.

All data is encrypted upon ingest, while at rest, and upon egress, ensuring data security throughout its lifecycle.

Provides parallel, isolated environments for safely testing and implementing changes with zero downtime and the ability to easily roll back, de-risking new deployments.

Includes built-in data validation tools and auditing capabilities to ensure data accuracy and maintain transparency in data processes.

Part of a continuous monitoring and incident response framework to proactively identify and address security threats.