Skip to main content

Datastack ®

Nebuli’s large data training, processing and security framework for complex applications.

Explore Data Services
Explore more

Nebuli’s Datastack framework combines what is traditionally seen as separate services of data security, data compression, data modelling, data classification and knowledge discovery into a single intelligence stack.

Nebuli’s Data Lab helps teams to untrap their data from multiple sources or silos, combining them into complete and accurate datasets for sophisticated data analysis and digital experiences.

Datastack’s Core Principles

Successful AI systems rely heavily on large-scale data inputs with exhaustive learning models, which tend to work well mostly for large corporations with the resources to generate and manage massive amounts of data.

However, most organisations do not possess or generate such enormous quantities of data to make off-the-shelf AI applications relevant or even functional. Not to mention, cross-disciplinary and cross-regional data integrations and interoperability challenges.

Hence, we built the Datastack framework with data versatility in mind. That is, helping teams and enterprises to focus on consolidating their data silos and opening up the possibilities to work with public and open data within the same framework. Thus, unlocking undiscovered trends and opening new opportunities.

Above all, with the Nebulised Data Layer (see below), enterprises can be assured that their data privacy and intellectual property is intact.

Our Datastack framework operation is independent of any data formats, platforms and languages, delivering better accessibility and faster cross-disciplinary and cross-regional data integrations and interoperability.

Through Nebuli’s Data Services, customers can employ our Datastack framework to untrap their data from multiple sources or silos, combining them into complete and accurate datasets for sophisticated data analysis and digital experiences.

Nebuli's Datastack Framework - unlock value of siloed datasets and AI services, supporting hybrid cloud infrastructure.

The Datastack is also fundamental for defining a customer’s existing ecosystem, where we identify their existing workflows, data models, SaaS/PaaS/systems integrations and critical pain points.

We Designed Nebuli’s Datastack Framework for the Post-digital Transformation Era

As the world moves deeper into the “post-digital transformation” era, as reported in our blog post here, we are witnessing a rapid increase of industries converging under newer, broader, and more dynamic alignments through data-driven ecosystems.

Such ecosystems are influenced by evolving consumer habits, the emergence of hybrid employment models, and the rapid rise of generative AI models.

We view this as the key foundation of any organisation’s hidden augmented intelligence opportunities. Nebuli’s Datastack is the data convergence framework to help teams discover and unlock these opportunities.

The Datastack Framework Prioritises Data Quality over Quantity for Better Output

Our mission with the Datastack is to establish a new standard that helps teams and organisations uncover new business opportunities and hidden augmented intelligence capabilities through their trapped data that can dramatically transform their output across markets.

Through Nebuli’s Data Services, we help you explore your data pain points and work with you in defining your ultimate data-driven outcomes by producing the right metrics and conditions for your end users.

Data Security with the Nebulized Data Layer

Security and data privacy are the most critical elements of Nebuli’s entire ecosystem and are at the heart of the Datastack framework.

The Nebulized Data Layer® (NDL) is Nebuli’s innovative data security layer that completely circumvents the need for customers to upload copies of their original data.

The NDL forms the central part of the Datastack and contains a customer’s indexed data needed for sepcific tasks. The system then compresses this indexed dataset into its internally generated semantic and ontological models that allows it to read data in any format, language and from any vertical.

The NDL processing generates Nebuli’s unique machine language that offers superior data compression, flexibility, speed and security to customers’ “Nebulized” data. This layer eliminates any footprints leading back to the customer’s original data sources.

The NDL Process:

  • 1.

    Customer dataset pre-processing – creating data description maps to allow Nebuli algorithms “understand” the datasets.

  • 2.

    Data extraction – indexing the critical data parameters needed by Nebuli for a given task without storing the rest of the data.

  • 3.

    Data Decomposition – breaking down the indexed datasets into smaller tasks that can be parallelised within Nebuli’s operations.

  • 4.

    Further Extraction of “useful” data parameters – where Nebuli selects subsets of data indices to built its “Data-Driven World”.

  • 5.

    Final normalisation of the extracted data – to reduce data redundancy and improve data integrity, while forming Nebuli’s internal representation of the customer’s data.

Explore Data Services
Get Started