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REVEN-X1: Automatic Vulnerability Detection in Binary


TETRANE wants to further develop REVEN®, a product that automatically discovers, characterizes and helps solving nearly any software flaw that could be exploited by malicious hackers. REVEN represents the only answer to a growing social issue: cybersecurity for critical infrastructure and loss of revenue due to cyberattacks.

REVEN helps to anticipate threats by directly analysing executable binaries (source code is not needed) thanks to the mathematical simulation of processors’ physical structures. Before REVEN, it was considered impossible.

Beyond financial losses for companies estimated at more than 400 billion euros per year worldwide, the growth of cyberattacks exploiting software flaws is indeed a worrying matter for any infrastructure that could threaten the well-being of an entire population: critical infrastructures. Critical infrastructures regroup state activities (civilian, judiciary, research and defence), citizen care (water, food and health) and social and economic life (energy, telecommunications, transports, finances and industry). The crucial need to secure these infrastructures can easily be understood.

The REVEN developments already realized lead to the demonstration in various operational environments (TRL7) and TETRANE already has recognized early adopters: several defense ministries around the world, and leading civilian companies. The company employs eight Research and Development engineers and has already realized a 315 k€ turnover in 2015Q1 by selling a beta version of REVEN to cybersecurity experts. It is however necessary for TETRANE to pursue the definition of the commercial plans and the overall strategy for the next two years in order to hit the market with a clear strategic view in terms of business model, Research and Development and IPR. Whit this SME Instrument deliverables, and hopefully subsequent phase II, TETRANE can expect a strong growth during the next few years!

Field of science

  • /natural sciences/computer and information sciences/software
  • /natural sciences/computer and information sciences/computer security
  • /social sciences/law/constitutional law
  • /social sciences/sociology/social issues
  • /social sciences/economics and business/business and management/commerce

Call for proposal

See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1


200 Boulevard De La Resistance
71000 Macon
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000