Wavy Abstract Background

AI Platform-as-a-Service

Enabling Business Innovation



Zeblok's enterprise-ready turnkey AI Platform-as-a-Service (AI PaaS or Ai-MicroCloud™) helps you develop, customize and deploy AI projects quickly, generate new insights and enhance decision-making capabilities. Our platform has been built from the ground up for collaboration from composable foundational components, which makes it easy to deploy and satisfy a multitude of challenges that enterprises, data center operators and Edge operators face.

Zeblok Computational offers enterprise clients a shared utility platform. CIOs, CTOs and Innovation Offices have the opportunity to combine and create a community comprised of data scientists, data engineers and AI engineers, as well as various lines of business analysts, to collaborate on AI development in a single platform. Furthermore, AI innovation labs outside of the enterprise, including student interns from strategic academic partnerships, can be brought onto the same platform.

Zeblok Computational deploys its Ai-MicroCloud™ to wherever the data resides – enterprise data centers, public clouds and Edge locations. Users determine the appropriate mix of Ai-MicroCloud™ composable foundational components, based on their needs and the specific line of business applications and AI/ML models they are developing.

Once implemented, enterprises become truly multi-cloud and are able to execute on numerous enterprise infrastructure strategies due to the flexibility in the deployment architectures afforded by the Ai-MicroCloud™.

For example, if an enterprise has a deep relationship with AWS and application teams require some data to be kept within the enterprise data centers, then some data can be moved into AWS. Then the development team can decide where to launch the foundational components. It can be launched within the enterprise data center or in AWS, with comprehensive audit trails supporting any regulatory requirements.

Architecture Diagram

Ai-MicroCloud™ Composable Architecture 1

Composable Foundational Components

Application Components
AI Workstation (1).png
Ai DataLake (1).png
Ai Appstore (1).png

An environment that provides users access through a web browser to  open-source frameworks and tools to start a data science project. 

Ai Data Lake

A high-performance data store that enable users to import, filter, and analyze objects instantly. 


A collection of Ai-Algorithms that are certified for their technical and operational compatibility with Ai-MicroCloud middleware.

SaaS Components

Al Applications

Carefully Selected ∙ Rigorously Tested ∙ Enterprise-Ready Proven, original applications – easy to read, use and share


AI Runtime API

Bridge Data Science and DevOps
Deliver trained Ai-Models Anywhere

PaaS Components


Run independent applications in an isolated environment with our security.


Ai-Workstation Master

Enabling Zero Learning Curve, Open-Source, Virtualized Notebooks, Curated Algorithm Notebooks, Model Zoo Notebooks

Micro-Cloud-–-GPU-Supercomputing (1).png

Ai-HPC Master

Seamlessly scale to high-performance computing (HPC) via a Jupyter Notebook. One-click scalability for AI workloads.

Ai-Data-Lake (2).png

Ai-Data Lake

High-performance data-store that allows you to import, filter, and instantly analyze objects. SSL security and data-redundancy for high availability of data at SSD speeds.

IaaS Components
Role-Base-Access (2).png

Role-Base Access Control

Super Admins can add new users, add payment details and define access to notebooks per user. 

Security (3).png


With LDAP and active directory integration, deploy and adopt the security of your own organization within your data center

APIs (4).png


Integrate with third party or home grown metering/billing and IaaS orchestration system with APIs


Multi-Cloud Orchestration

ibm cloud f.png
google storage.png