Platform-as-a-Service (PaaS)
Definition: The foundational functionalities and capabilities that are commonly provided to support the development, deployment, and management of the platform. These services are shared across multiple applications within the platform and help streamline development efforts, improve efficiency, and enhance overall user experience
Outcome: A suite of services that are all weaved together that allow you to create a unique experience based on your job role at an MSP
Common Services
Definition: Data Lake that contains information from all the products and services used within and outside the Asio platform.
Outcome: No need to sync data back and forth and cause delays and is the key driver for hyperautomation and AI. Centralization of data allows us to put AI at the center of our platform --- creating insights and automation that span products in ways decoupled solutions never could.
Centralized Data Layer
Definition: Multi-tenant, multi-tier Platform-as-a-Service that is purpose-built for MSPs and allows us to deliver a modern user experience, centralize disparate datasets, build new products faster, and create automation that can span the entire ecosystem
Outcome: Has the horizontal and vertical scale that allows you to provide multiple access layers
Infrastructure
Definition: APIs facilitate the seamless integration of the software application with other systems, services, or third-party applications. They provide standardized interfaces, protocols, and tools for data exchange and interoperability.
Outcome: Extend the platform with the tools you know and love to use in your business through a common UI and centralized data.
APIs
Definition: The orchestration layer enables the definition and execution of complex workflows or tasks involving multiple services and components.
Outcome: It ensures that tasks are executed in the correct order and that dependencies between tasks are properly managed
Orchestration
Definition: The core technology that enables the platform to understand, learn, reason, and make intelligent decisions based on data and algorithms, such as machine learning algorithms, natural language processing (NLP) capabilities, data analytics tools, and other AI techniques
Outcome: Through the centralized data layer, our AI has the ability to see across all solutions and predict what is going to happen and proactively suggest solutions or auto remediate
AI Engine
Hover over the layers to learn more