Kernelis Resilience is a method and a computerized system invented and developed to give to the client organization the rational means of reinforcing their resilience and of reducing their risk while optimizing the needed resources.

Kernelis Resilience processes an organizational structure as being a unified system, it calculates its stability as the resultant of energies and evaluates the systemic response when forces are applied to this system.


  Organizational risk and resilience assessment should not be playing dice and should not give room to subjectivity. However, conventional methods, which all aim at answering the question “What might go wrong?”, are based on intuition and are therefore subjected to human and cognitive biases. Hence, the risk-based approach, which is the current rule in multiple domains of activities (national defense, drugs and biotech industry, airports and air transportation, nuclear and chemical plants), cannot be rationally controlled and the need for a new paradigm to address these critical issues is clearly expressed by competent bodies.

  •   Kernelis Resilience gives a resolutely new approach, based on a robust scientific model, to allow an objective management of the organizational strategies. The strategies evaluated are not treated on a sole defensive perspective, as it is the case with traditional risk and resilience management.

  • Kernelis Resilience also aims at reinforcing the organizational structure by a better assignment of the available resources and the determination of the most adapted strategies.

  • Kernelis Resilience makes it possible to minimize the efforts (expressed in the terms of the costs and the constraints) for an optimal performance of the organization.



"Kernelis Resilience provides a rational approach that aims at enhancing a comprehensive and holistic management by knowledge for a controlled organizational and business development."

Conventional methods are subjective

(...) many of these risks are managed only by the intuition of the project manager or management team. While many are skilled enough to investigate and control most of these risks, the number of projects that fail to meet functional requirements, cost limits, scheduled deadlines, reliability expectations (...)

J.-M. Gernand. Proposal for an Integrated Risk Assessment and Management Application. 2008

Conventional methods are subjected to human biases:

(...) risk assessment is considered to be an integral part of a program for continuous improvement. It is not intended to be used for the justification of existing or inferior practices. The danger of bias lies in that it can take many forms, and is not always readily apparent. Bias can result in risks being overlooked, inappropriately assessed or prematurely dismissed.

Paula Peacos. Bias: The Hidden Danger to Your Risk Assessment. American Pharmaceutical Review. Posted: March 31, 2016




Conventional methods are by design highly subjective and this is systematically evidenced in real case situations.

Non Interpretative, provides reproducible & repeatable results, whoever are the members of the team. Gives no room for black swans.

Conventional methods are time and resources consuming. They are extremely costly to the Organization for a often poor results.

Rapid and efficient. Keeps low the necessary organizational effort.

Processing can be parallelized in 2 or more computers to reduce the overall duration.

Conventional methods can be oriented by the team in charge of the analysis to mislead the outcomes.

Provides full traceability of loaded and computed data. analysis outcome can be retrospectively reviewed and assessed.

Intentional data modification cannot be  anticipated.

Conventional methods generally process risks as discrete entities and face difficulties to cumulate and/or aggregate risks.

Processes data to couple elements and construct a self-consistent model. Kernelis Resilience is based on a rational and extensively documented theory. The mathematical concepts included are those of topological spaces.

Kernelis Resilience



Integrated Computational Analysis of Documentation System

Practical Implementation for an Audit Leading