Scalable Hybrid DLT
zkSystems is a hybrid DLT (as infrastructure level) which enables full autonomy of complex IoT ecosystems such as smart factories or smart cities. zkSystems solves the problem of interoperability and system silos by providing automated M2M communication, ad hoc deployment and edge connectivity on demand. With our solution, we enable an unforeseen level of autonomy for IoT infrastructures.
DAG-Based BFT Consensus
High scalability with thousands tps and finality within seconds, powered by leader-less consensus based on voting.
Smart contracts enable real-time data format transformation on edge (e.g., in OPC-UA) and seamless integration of ERP with execution systems.
Automation without Cloud
Applicable to internet-free, cloud-free industrial settings, as infrastructure for smart manufacturing.
Dynamic Service Orchestration
zkSystems enables direct, automated machine-to-machine communication and system-to-system integration making adjustments easier.
This provides end-to-end integration of external processes, which are shared with other stakeholders, with non-shared internal processes within manufacturing.
Multi-Service Infrastructure for Industry 4.0
Structured P2P enables ad-hoc deployment and edge connectivity on demand. Mass customization made possible.
Our team combines a deep understanding of software development for industry 4.0, blockchain know-how with entrepreneurship and real-world business experience.
"We are building the autonomous infrastructure of tomorrow's machine economy"
Highest Level of Security
Resistant Against DoS Attacks
By having no single point of failure, a decentralized system with a multitude of nodes enables the highest possible level of security against DoS attacks. This also saves companies between 1 to 10 Mln. € IT security cost.
Replacement of PoW and Blockchain Principle
With gigabytes of data produced per day per machine, this amounts to zettabytes of data per year – only a decentralized system with a scalable consensus can handle this scale of IoT and IIoT efficiently.