A breakthrough in big data processing

Nebulo® is a highly scalable, auto-tuning, idea-oriented data management system, with single-digit millisecond performance. Nebulo® rapidly provides levels of detail from a single lit point to a highly detailed, procedurally enhanced model. Nebulo is a way to establish meanings and ensuring trusted behaviors of both data and machines, no matter the type of data or device.

Self-optimizing for real world conditions

Profile and regenerate allows us to self-optimize for the computer’s conditions, such as heavy hard drive traffic from another process or low-battery-mode is toggling on and off, etc.

The Nebulo® design of “Translatable Data Structures, Meaning Implementations, and Code Regeneration” enables us to mix and match code behavior from unrelated domains or even forks of the same project.

Faster Results at Lower Cost

Non-duplicative Reordering  provides the ability to map the same data groups to many different chunks of code without duplication. By reducing the number of reads and writes, processing data is not only faster, but uses less samples in data intensive applications. This saves our customers money as reducing the amounts of reads and writes lowers monthly usage fees.

Built-in Granular Quantum-Resistant Security

Other approaches depend heavily on the operating system and external security solutions to keep data and systems safe. With Nebulo®, all chunks of data have a Guard, which manages access, trust, security, and a means to Synchronize and Coalesce changes/reading-the-correct-values-at-the-correct-time. The Nebulo Guard validates that the ability to know that a chunk of data even exists is legitimate, uses tens of traditional prime-factor cryptographic keys [add more of your own], which can be combined and implemented in parallel.

A new way to provide trusted security

Unlike traditional Object protection, such as public/private C++ declarations, C89 symbolic-name-scope-obscurity, etc., Nebulo® is designed for tasks to be changed in realtime, support multiple contexts, and to avoid race-conditions/stalls or slowdowns of traditional actor message passing queues.

All access/changes/synchronizations of values are handled via scheduling instead of with locks or traditional actor messages.

Our model separates the request to load/read/write into ‘who & when’ first, when it then injects an authorized task into the nearest/most-relevant job pool.

Products in Development

The Democratization of Computing

We’ve done the heavy lifting, which involves patented transformative breakthroughs in mathematical approaches to generating algorithms and meaning representation that goes beyond (human and machine) languages.

Wantware enables the many products in our own roadmap, to be developed rapidly and to require far less maintenance than is required by the current software development process. The functionality needed to create those and an endless number of products already exists within the abilities of the Essence Agent. It totally makes sense once it is understood that wantware is fundamentally about intent translated and transformed into machine instructions, in real-time.

The products in development above are just the tip of an enormous iceberg. There’s much more underneath the surface. Software evolved is Wantware!

Get ready to create at the speed of thought.

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Wantware Inside

The Essence Platform – Democratizing Web3 and Computing in General

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The Essence Aptiv – A New Way to Harden Code by Reducing Code

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The Essence Agent – The brains of the Essence Platform

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The Essence Powers System – A New Code and Data Packaging System

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The Essence Skills System – All the ways that humans interact with wantware-powered machines

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Nebulo® – Translatable data structures for adaptively managing data and code with semantic intelligence

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Essence Atoms, a way to map intent to meaning to regenerative machine instructions, not fixed code.

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MorpheusTM – A pathway to platform agnostic computing based on platform-specific regenerative machine instructions

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Maestro® – Balancing sensory quality in response to latency and user-level choices, in real-time

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As we discuss our technology with engineers, we will post answers to their questions on our website.

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