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emergent technologies

emergentec develops products and solutions governed by a proprietary conceptual fundament derived from biological computing principles: dynamical hierarchies of functors. We apprehend, tailor and develop emergence of higher order function in context-aware object ensembles.

We thrive on optimizing emergent function exposed by given object-in-context systems (reverse engineering of emergence in natural as well as man-made systems), and configure de novo emergent function scenarios (emergence-enabled technical designs).


Objects in context/interaction eventually develop organizational structure enabling emergent phenomena. Such upward causal effects are frequently perceived as “unexpected” or “surprising”, and in downward causality affect functional peculiarities of individual objects, groups of objects, and of the entire object system. emergence grounds in deterministic object-in-context dynamics.

For an observer emergence displays as beneficial or detrimental scenario. In consequence, emergent properties open up most relevant application cases: a) identifying optimal means of interference with given object-in-context systems for re-directing dynamics toward beneficial behavior and b) designing object-in-context systems de novo for seeking delight in emergent capabilities.

reverse engineering

A variety of natural systems, but also certain man-made artifacts present as interacting objects, embed organizational structure grounded in context, and display emergent properties. For selected instances big data have become available allowing object and interaction annotation / parameterization. Such basis enables system simulation (causality matters!) for diagnosis and prognosis of emergent observables, as well as design of appropriate external interference (together with prediction of system response).

We offer our functor concept and implementation in contract research/analytics services for coping with reverse engineering of emergent properties.

technical designs

emergence offers a wide range of most relevant higher order function – stability/robustness/smart response to external interference, collaboration, synergism, coherence, graceful degradation, implicit optimization of target functionality, and many more. Cyber-physical ecosystems, with the Internet of Things as representative proxy, hold all prerequisites for becoming emergence-enabled: truly SMART technical devices with adopted controller functionality in connected ensembles, in de-central operation following implicit control.

We provide our functor concept and implementation for collaborative product development in focus of emergence-enabled technical designs.


in reverse engineering

focus: given object-in-context systems displaying emergent properties. prerequisite: a fine data space; a respectable approximation of a closed form object/interaction representation. quest: i) diagnosis of organizational structure elements and functional properties, ii) prognosis of organizational structure/function evolution, iii) configuring interference for optimizing higher order function together with response prediction.

in design

focus: de novo configuration of emergence-enabled object-in-context systems. prerequisite: device controller interface; incorporating a System-on-a-Chip in technical device specs; peer-to-peer communication protocol. quest: i) value-add technical device function/smartness, ii) de-central / implicit control / secure device operations; iii) diagnosis / prognosis / prediction of device operations/function.


  • design/implementation/licensing of structural modeling & simulation platforms
  • reverse engineering analytics, various industries
  • technical design blueprinting, system-of-systems
  • deriving IP for structural & procedural assets embedded in context-aware objects
  • coordination of / advisory for system-of-systems/agent-based R&D
  • lecturing/scientific dissemination in Computational Biology and Systems Sciences



          emergentec biodevelopment GmbH

          Gersthofer Strasse 29-31

          1180 Vienna, Austria



          Management: Bernd Mayer, Arno Lukas