Disrupting the status quo, with decentralised and cryptographic technologies

Our platform enables data computation and communication between peer devices in near real-time, thereby overcoming the challenges associated with transaction settlement times on the blockchain.

The basis of the platform rests upon its ability to intelligently create self-discovered peer-to-peer networks that derive optimized network topologies based on computation instructions and data type under computation. This results in fast, network-efficient, secure and high-quality data transfer between peers regardless of their location or underlying physical, transport and network layer conditions between them.

The platform significantly reduces computing, storage and communication costs for the management of distributed data sets and thereby achieves significant network infrastructure cost savings. The quanta of these savings increase with the increase in number and complexity of data sets under processing and the number of devices that are involved in processing. 

Our platform can be deployed standalone or in conjunction within any deployment model.

Our platform can efficiently solve the problems of security, scalability and security that is characteristic of the way in which blockchain currently works whilst improving interoperability and usability.

Our platform supports different consensus protocols seamlessly (e.g. proof-of-work; proof-of-stake; proof-of-resource) as well as different blockchain deployment architectures (private, public or hybrid) and integration with off-the-chain traditional software and enterprise systems. The platform also allows developers to create their own consensus protocols.

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Our platform enables data transfer between peer nodes without moving physical data residing on those nodes. All data transfer happens through descriptors to the target physical data files, enabling fast transfer of data between peers.

Our platform implements a stateless condition in the network with respect to the conditions of each node participating in the computing and communication session, and there is no memory in the network with respect to what each node is computing, what data input/instruction is given to a computation type at any point in time and what is the outcome of a computation that’s currently being undertaken on an initiating peer’s target peers’ devices.

The result is that the requirements for computation resources and time to authenticate data transfers (transactions) are substantially less.

This can significantly reduce power consumption on nodes and accelerate the authentication process during mining, and also provides high degrees of encryption through the modulation of the descriptors through multiple levels of randomization and arithmetic coding.

Our platform is also able to store the sets transactions in single blocks with small memory footprints.

Using our inventive data modulation techniques, our platform can reduce data transmitted by up to 99%. This reduces network activity and load, accelerates download and upload times, with more secure and smaller data files, creating less dependency on servers and routers.

This platform is ideal for organisations that need new-breed, decentralised mobile services, or host massively networked infrastructure, fixed or cloud.

Efficient and reliable, our system-level data modulator unit creates mathematical formulae that are representative of the underlying data for simultaneously high degrees of coding, compression and encryption.

Unlike existing encryption and compression standards where original data is scrambled, our method removes remove all original data and replaces it with mappings of formulas enabling the reconstruction of the original data, which delivers extreme degrees of effective encryption and compression.

The platform’s high comparative compression ratios also make it perfect for distributing real-time multimedia content.

Our TRNG draws on a variety of externalities available on local devices and networks combined optionally with internal device information, data and user inputs.

It uses degrees of data modulation combined with encryption and programmatic parameters from which the resulting data is spliced and organically disseminated within a networked environment according to pre-defined parameters, which are further enforced by consensus algorithms.

This can also be paired with a self-sustaining blockchain for audit and proofing requirements.

Our full-stack TRNG can be deployed standalone or integrated, and realized either in hardware or software, or a combination of both.

Deployed on its own, or integrated in hardware or software, our full-stack TRNG can allow each user to securely sign transactions with their own digital signatures. This results in faster authentication, processing and transaction settlements.

The TRNG also supports efficient multi-level authentication on any blockchain to reduce transaction costs (gas) and settlement times, while maintaining fairness in the computation process.

This platform offers an efficient method of managing communications and messaging, and executing inter-process communications. This reduces resource-intensive task execution in the absence of a central server. It allows for the intelligent control of network activity across diverse networked ecosystems, even with the presence of firewalls or NATs.

The higher the loss rate in the network, the quicker the platform will bring stability, ensuring peer nodes can sustainably communicate in the absence of central servers or super-nodes.

Our platform addresses the functional requirement that network access and communication experience be continuous without any problems to session participants irrespective of the underlying physical, network or transport layersand with the same Quality-of-Service (QoS) levels – of critical importance to live-time applications.

Collect data in real time and on demand within any active network session, without the need for risky and costly storage.

Our software stack’s functioning through the use of descriptors enables fast retrieval and processing of a large assorted set of binary data. This enables significant savings in time while undertaking complex statistical operations on large data sets.

We also have the ability to create specific knowledge libraries in our software based on the learning model for different types of target verticals (e.g. ad matching in the cryptocurrency sector). These learning models could also be used as standalone plug-ins to existing solutions.

Our accompanying analytics engine can be very easily integrated, customised and plugged into any system and/or native software code. This comes with a learning module that can be highly trained to suit different types of observed data types and categories.