Question 1

What is Arealis and how does it work?

Accepted Answer

Arealis is an AI operating system that transforms your enterprise data into organized, real-time, actionable decisions. It uses Smart Data Lakes to organize your data and Large Action Models (LAMs) to drive autonomous decisions across your organization.

Question 2

What are Smart Data Lakes (SDLs)?

Accepted Answer

Smart Data Lakes are intelligent environments that ingest any type of data—from spreadsheets and logs to real-time streams—and automatically clean, label, and optimize it for immediate use. They process data through distinct zones to ensure reliability, security, and usefulness.

Question 3

What are Large Action Models (LAMs)?

Accepted Answer

LAMs are specialized AI agents that act as domain experts, each focused on specific areas like fraud detection, supply chain optimization, or compliance monitoring. They are designed to be independent yet collaborative, offering transparency in their decision-making processes.

Question 4

Can Arealis be deployed on-premises?

Accepted Answer

Yes, Arealis supports both on-premises and cloud deployments. Our Enterprise plan includes on-premise and hybrid deployment options with the same enterprise-grade controls and observability.

Question 5

How does Arealis ensure data security?

Accepted Answer

Arealis implements enterprise-grade security measures including data encryption, access controls, audit trails, and compliance with industry standards. We ensure your data remains secure whether deployed on-premises or in the cloud.

Question 6

What types of data can Arealis process?

Accepted Answer

Arealis can process any type of data including structured data (databases, spreadsheets), unstructured data (documents, text), semi-structured data (JSON, XML), and real-time data streams. Our Smart Data Lakes automatically handle data ingestion and preparation.

Question 7

How quickly can I get started with Arealis?

Accepted Answer

Getting started with Arealis is quick and straightforward. Our Professional plan can be set up within days, while Enterprise deployments typically take 2-4 weeks depending on your specific requirements and data complexity.

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