From R&D projects to innovative products

Transcription

1 Paris Region Systems & ICT Cluster PRODUCT PORTFOLIO From R&D projects to innovative products

2 Jean-Luc Beylat President, Systematic Paris-Region Dear Systematic Partners, With the emergence of a new industrial order built around the latest digital technologies, our society is experiencing a period of profound change (impact of digital technologies upon education, health, home, work, transport, energy, security of transactions...). Our world reinvents itself all the time so much that the capacity to sustain and support innovation is key. And that is exactly what we do in Systematic: each one of you addresses new challenges by developing synergies thanks to your cooperation, imagination, dynamism and renewed commitment to our association. I am proud to introduce the first edition of Systematic s Product Portfolio illustrating what the concrete results of completed R&D projects are. These projects labellised by Systematic are the results of an important collaborative work led by Systematic members. For this first edition, more than 100 members present their innovative products as well as their first commercial successes. You will not only read about the technical description of different products, but above all, you will experience at first glance, the excellence of French innovation as demonstrated by Systematic Paris-Region s members. This publication shows that Systematic is not only committed to developing new R&D projects, to managing innovative communities but also to create new business opportunities and increased competitiveness. This Product Porfolio is the first step of the innovation chapter of our Strategic Plan. There is no doubt that Systematic is making a very significant contribution to the attractiveness of the Paris region by offering its technology vision and gathering a great diversity of techno-providers. As such, I am confident that you, Systematic Paris-Region partners, the Open Innovation actors, will take an active part in these new challenges with the clearly-stated ambition to stay at the forefront of innovation! 3

3 World Class Competitiveness Cluster Boost the economy through open innovation Systematic Paris-Region: A strategy combining key technologies and growth markets Standing at the crossroads between Software and Digital Technologies, the Systematic Paris-Region competitiveness cluster asserts its place in 5 major industries and services sectors (Transports, Energy, Security, Healthcare and Telecommunications). Systematic Paris-Region s objectives focus also on 3 key markets: Factory of the Future, Digital cities and IT development for companies and organizations (open systems, Big Data ), all of which are at the heart of the 21 st century challenges and that development increasingly relies on the know-how of Systematic members. Issues of application channels determine the priority technological areas developed by Systematic Paris-Region within the Software and Digital sector: those most promising transformation and innovation for companies in these sectors. These are the following lines: Embedded Systems and Internet of Things, Digital infrastructures, Modeling, Simulation and HPC, Digital Trust, Open Source and Big Data. The challenge is twofold: Develop technologies, companies and markets software and digital Transform and develop through the digital competitiveness and innovation in eight industrial sectors and services Systematic Paris-Region: An innovative growing cluster Since 2005, the Systematic Cluster has developed 438 R&D projects representing a total R&D investment of 2,26 billion including 817 millions funded by the French Government, Regional economic development agencies and the Paris-Region local authorities. The commitment of all the clusters actors in the Open Innovation way creates synergies between SME s, industrial firms and research laboratories and allows the emergence of innovative projects. Above all, Systematic Paris-Region is becoming a product factory. The cluster s main objectives Systematic seeks to boost the economy and employment through innovation, training and partnerships. The researchers, industries, training organizations, French national and local governments involved with the Cluster have three priorities: Strengthen the leadership of major integrators in order to secure the sustainability of their R&D activities in the Paris Region Stimulate the creation and development of new high tech businesses with global ambitions Reinforce the Paris Region s attractiveness by developing its image on an international scale in order to attract new global companies R&D departments. 6

4 Support growth innovative SMEs thanks to the ambition PME program SMEs, innovation powerful drivers, play a leading role in our ecosystem For the coming years, Systematic is not only committed to developing new R&D projects but also to increasing productivity and to creating new businesses within our cluster specially for SMEs. Systematic stands on an ecosystem comprised of 800 SMEs which represent more than jobs in the fields covered by the Cluster. The Cluster s objectives towards SMEs consist in contributing to the emergence of global leaders and consolidating existing SMEs. To answer this challenge, Systematic Paris-Region leads the Ambition PME program, action plan for SMES opera ting in the optics, electronics and software sectors. Lead an innovative ecosystem for a better international attractiveness Accredited as a World Class cluster by the French Government in 2005, Systematic is awarded Cluster Organisation Management excellence Label Gold and is a member of EIT ICT Labs (nodes: Paris, Berlin, Stockholm, Helsinki and Trento). Systematic focuses its development on European and international scene on three priorities: Attract capital and talents to the Paris Region help laboratories and companies export their patents and products Face the challenge of growing global competition from large systems integrators, lowcost software development and new players in embedded systems The Cluster benefits from recognised experience in cooperation between its members and their European partners. Systematic is already involved in European and international networks, such as: DSP Valley -Belgium BICC-NET - Germany Point-One - Netherlands Maroc Numéric Cluster - Morocco Ciatec (Campinas) - Brasil CPqD (Campinas) - Brasil Centre of Engineering and Technology Transfer (CETT) - Kazakhstan Imagine IT Hanoi Vietnam R&D Financed Projects: 438 Partners: 774 including: 429 SMEs 38 Enterprises of Intermediate Size 50 Large companies 46 Research institutes and universities Total investment: 2,26 billion Total funding: 817 millions Systematic has opened technological hubs for the benefit of its members in key places on the globe: USA (Boston-Cambridge, MIT), China (Beijing, Z-Park), Tunisia (Tunis, Technopark Elgazala), India (Bangalore) with a view to: Promote Systematic (the cluster, the Paris region and its members) Facilitate international partnership projects Support SME export drive 7

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6 CRUNCHER TM The high-performance appliance designed for digital simulation users SILKAN 9, route du colonel Marcel Moraine Meudonla-Forêt Pierre Fiorini 9 M C RUNCHER TM is a development and characterization environment for command and control applications, that does automatic code generation and HIL simulation (incorporating SILKAN RT s ARION 100 network). CRUNCHER TM is compatible with models from Simulink and XCOS (using the GENEAUTO format). This product allows SILKAN to field a highadded-value offering for this type of application, notably in the aerospace industry. 78 employees Modeling and deployment of distributed applications, automatic generation of high-preforming code Transportation, Security AGREGATION Competitiveness cluster(s) Co-labeling Astech 93

7 DOTVISION TRACKER GPS et SENSOR Live GPS system for sports events Dotvision 4, allée du trait d union Lieusaint TrackerAndSensor Guillaume Pelletier 0,3 M S pecially designed for action sports, the sensors can relay performances in a unique way. Thanks to the 3D Dotvision Motion applications and interface, the community can follow - live or via replay - the location and movements of the equipped person, notably all his/her movements and actions. Dotvision GPS tracker: Master sensor used standalone and/or with its peripherals, sensors. It incorporates GPS, an inertial unit and an interface for communications with cloud facilities. It enables one to aggregate, centralize and transmit data from motion sensors, via GSM and other networks. The Dotvision sensor: The sensor incorporates a high-precision inertial unit with an accelerometer, a gyroscope, a compass and a barometer. It is able to to continuously capture movement and relay it via the 3D Motion interface. It communicates via the motion tracker. 7 employees 3D motion sensor, live GPS tracking Transportation, Energy, Enterprise Information systems, Healthcare, Security, Digital cities, Sport, Telecommunications Sports event organisers, Raid GDF Suez, Red Bull EPIT

8 GEKKO Portable equipment for non-destructive testing M2M 1, rue de Terre-Neuve Miniparc du Verger, Bâtiment H Les Ulis Guillaume Neau g.neau@m2m-ndt.com 5,1 M 43 employees ekko is a portable device for non-destructive testing (NDT) using multi-element ultrasound. It implements the G most-advanced techniques to allow field testing meeting the needs of various industrial sectors: aerospace, steel, petrochemicals, automotive and nuclear. Gekko performs high-quality tests on 64 parallel channels, and is capable of steering matrix probes and implementing optimized real-time imaging techniques (Total Focusing Techniques). The hyperfocalization and 3D vision features allow optimal reading of results. Gekko s simple interface and applications system enables step-by-step testing reducing the risk of errors. The device also incorporates the latest features of the CIVA simulation platform for internationally-recognized NDT. Matrix probes, Realtime all-points focusing (TFM), 3D, Pulse-echo, pitch-catch, TOFD, DDF Transportation, Energy, Metals production OPARUS Competitiveness cluster(s) Co-labeling Minalogic, Optitec 95

9 Geo-PNT Accurate timing, position and attitude in a single box OROLIA SPECTRACOM 3, avenue du Canada Parc Technopolis Les Ulis Emmanuel Sicsik-Paré sales@spectracom.fr 72,6 M G eo-pnt is an effective rugged and small footprint solution for PNT application. PNT stands for Position Navigation and Timing information which unable to localize physical object within 3D space and time. It combines in a single box high-performance versatile position and attitude measurement function with an accurate time distribution server. Geo-PNT unit embeds IMU quartz MEMS coupled with a GPS receiver running in autonomous or differential (RTK) mode. Thanks to IMU and very high stability oscillator, both navigation solution and internal accurate time are kept in all typical circumstances for dynamic platform including GPS signal temporary loss. Geo- PNT is available with a L1 GPS receiver or with a L1/L2 SAASM GPS receiver. Geo-PNT minimizes size, weight and power (SWAP) through integration of positioning and timing which are usually implemented into two separate subsystems. It is an affordable solution for embedded test bench, radar, optical, infrared, electronic warfare, satellite communication payloads where it drastically reduce implementation and operation cost. 327 employees Coupling of a MEMS 6D system with a GPS receiver and a OCXO or CSAC ultra-stable frequency reference Transportation, Automotive, Aeronautic, Marine, Civil and Military Airbus, Dassault, DCNS, Nexeya, Nexter, Thales, Zodiac IPchronos 96

10 GNATcoverage Non-intrusive coverage analysis compliant with the strictest level of certification G NATcoverage is a structural coverage analysis workbench capable of delivering results compliant with the most-stringent requirements of certification standards for critical software development, notably the DO-178B/C standard for civil avionics. Based on the instrumentation of execution, simulator or hardware-cardwith-sensor environments, GNATcoverage allows non-intrusive analysis of programs ready for embedding on a target. The product supports the C and Ada (95 to 2012) languages. It can be accompanied by qualification hardware for use in certified development, up to level A of DO-178B/C, with support for the MC/DC criterion. AdaCore 46, rue d Amsterdam PARIS Jamie Ayre info@adacore.com 6 M 35 employees Non-intrusive technique, environment instrumentation, simulator or hardware probe, Ada 2012 support Transportation, Energy Healthcare, Security Terma, Thales Couverture 97

11 GSG6x Option RSG Hardware-in-the-loop real-time navigation simulation OROLIA SPECTRACOM 3, avenue du Canada Parc Technopolis Les Ulis com Emmanuel Sicsik-Paré G SG satellite navigation signal generator with a rea-time scenario generation (RSG) option is a powerful but affordable tool for integration of navigation function within platforms into real-time simulations. Steered by the global simulator, the GSG generator adapts the radio signals generated according to the mission, applying a trajectory refresh rate up to 0.1 Hz. True-to-life operation with radio signals from the navigation system is thus incorporated into the mission s global simulation loop. It s the hardware-in-the-loop concept. Applications leveraging this technology are land vehicle, ship and aircraft simulators, mission training systems with onboard payloads such as optronics, radar and detection/location systems. 72,6 M 327 employees Unlimited simulation time, stationary reaction time can be compensated for, parallelization for up to 256 signals generation Transportation, Aircraft, Drones, Military, Ships Airbus, BAE, Daimler, Dassault, Nexter, PSA, Renault, Safran IPchronos 98

12 KRON-OS New-generation RTOS for multi-core architecture K RON-OS is an RTOS that allows one to develop applications that implement critical and non-critical functions on single or multi-core processors, with or without cache memory. These unique properties make it possible to enforce, by construction, behavioral determinism and non-interference between functions (targeted certifications: IEC SIL 4 and DO-178C DALA). The memory footprint and latency times of KRON-OS are extremely efficient. KRON-OS also includes an innovative configuration system that allows one to provide development flexibility that is currently unmatched. KRONO-SAFE 86, rue de Paris Bâtiment Erable Orsay Nicolas Lemonnier contact@krono-safe.com 0,44 M 20 employees Multi-core management and determinism Transportation, Energy, Enterprise Information systems, Factory of the future, Healthcare, Security Alstom, Delphi, Renault, Sagem, Schneider Electric ADN4SE Competitiveness cluster(s) Co-labeling Minalogic 99

13 KRONO-SUITE Development system for seamless processes KRONO-SAFE 86, rue de Paris Bâtiment Erable Orsay Nicolas Lemonnier 0,44 M 20 employees K RONO-SUITE is a development system that takes advantage of the properties of KRON-OS to allow the user to set up a seamless process. In the longer term, It will incorporate a graphical design tool fo time constraints, a real-time simulation tool on PC, and a tool to assist one in the designing of WCETs. The KRON-OS configuration system is integrated into KRO- NO-SUITE (see picture opposite). Seamless processes, multi-core management Transportation, Energy, Enterprise Information systems, Factory of the future, Healthcare, Security Alstom, Delphi, Schneider Electric, Sagem, Renault ADN4SE Competitiveness cluster(s) Co-labeling Minalogic 100

14 LaBS Numerical simulation tool for fluid dynamics based on the lattice Boltzmann method CS Communication et Systèmes 22, avenue Galilée Le Plessis- Robinson Elias Tannoury 170 M 1700 employees L abs is a numerical simulation tool for fluid dynamics based on the lattice Boltzmann method, optimized for massively parallel computing. With its outstanding performance and precision, it can simultaneously compute the aerodynamic and aero-acoustic fields generated by fluid flows around complex geometries. LaBS is used in the in the automotive and aeronautical industries. Computational Fluid Dynamics based on the lattice Boltzmann method Transportation, Energy Airbus, Renault, Valeo LaBS Competitiveness cluster(s) Co-labeling LUTB, Mov eo 101

15 M key Innovative system for shared mobility M Key is the key-holder developed by MOPeasy. When reserving a vehicle via the platform, the user receives a code that allows him/her to open the key-holder and retrieve the key of the vehicle reserved. This innovative solution enables dematerialized sharing of all types of vehicles, without any change to their construction, because the key-holder is installed in a reception facility separate from the vehicle. What makes M Key innovative is that it works both in "online" mode and "offline" mode. M Key facilitates the development of fleet management, by enabling the provision of vehicles to users, sharing with a neighboring company, or usage by public authorities, in simplicity, in all circumstances, and with or without RFID cards. MOPeasy 9, villa des sablons Neuilly-sur- Seine Stanislas Soufflet 1 M 12 employees Mobility platform, vehicle-sharing, car-pooling, traveler information Transportation, Energy, Digital cities CSTB, Colas, EDF, Groupe Plurial, Public authorities Neuilly Sur Seine, Marne la Vallée... Molecules Competitiveness cluster(s) Co-labeling Advancity, Moveo 102

16 OLEA 1 st Ever Logic programmable Multi-core Automotive Microcontroller Scaleo chip 1681, route des Dolines Les Taissounières, HB Sophia-Antipolis David Fresneau O LEA is a family of microcontrollers designed for advanced vehicles powertrain systems (Either for Gasoline and Diesel Internal Combustion engines or electric motors for HEV and EV or Transmissions). OLEA is H/W Flexible and Real-time: The AMEC engine and motor interface technology integrating programmable logic designed for the automotive industry constraints enables Euro 6/7 low-pollution emission standard compliancy, a high-degree of system optimization and software multicore architecture simplification. OLEA is Safe: The SILant integrated functional safety architecture technology ensures ISO ASIL-D integrity level compliancy to vehicles systems and reduces customer design cycles. OLEA is multi-core and future-proof: OLEA multicore architecture incorporate ARM processors with 2 x Cortex-R5F and 1 x Cortex-M0. This unique standard approach for powertrain application makes OLEA the Microcontroller future-proof solution M 39 employees AMEC : Hardware flexible engine control interface, SILant : Hardware integrated function Safety Transportation, Automotive, Avionic, Energy, Medical, Robotic OEM and Automotive Tier-1s NextSTEP Competitiveness cluster(s) Co-labeling Cap Energies

17 Optimization of 3D valuations Module to optimize the distribution of tolerances in 3D tolerance stacks SOKARIS INGENIERIE 30 bis, rue du Vieil Abreuvoir Saint-Germain en-laye Jean-Pierre Gaudet S okaris Ingenierie has developed a 3D sizing optimization module that is designed to adapt the tolerancing methods no 3D modeling. The module optimizes the distribution of tolerances within chains of 3D dimensions. This optimization module is integrated into the chain of development of Sokaris products and, during the sizing phase, allows one to attain high levels of mechanical, acoustic and vibrational performance, while seeking an optimal balance in terms of cast and weight, according to the essential requirements applicable to the products concerned. Features of the module: Analysis of 3D tolerances Tools interfacing with Catia for the optimization of the configured digitizations Optimization of thicknesses in riveted, bolt-assembled or welded plate structures copyright sokaris-ingenierie.fr M 10 employees Development of optimization tools configured for the Catia, Excel, Samcef and Abaqus interfaces Transportation, Energy, Factory of the future, Security Alstom, Nief Plastique, Safran, Trelleborg, UTC, Vibracoustic, Zodiac QUICK GPS Competitiveness cluster(s) Co-labeling Astech

18 PERMAS Numerical finite-element simulation software of very large models and complex assemblies INTES France 40, rue Sadi Carnot Rambouillet Jacques Marchesini 0,56 M 4 employees T he PERMAS computation code is a structure calculation software employing the finite-element method, and enables the simulation of very large models and complex assemblies in the following domains: Thermo-mechanical analysis and thermal transfers with radiation Coverage of contacts and simulation of bolted assemblies Vibration analysis, vibro-acoustics and fluid-structure interaction Dynamics of rotors Servo-control and active control Topology, parametric and robust optimization, and reliability analysis Multi-physics simulation (electromagnetism, thermal and mechanical) Coupling with fluid mechanics code (CFD) Simulation of very large models, computation performance Transportation, Energy, Marine engineering, Security, Space Airbus-DS, Daimler, DCNS, DLR, Mahle, Porsche, ZF EXPAMTION Competitiveness cluster(s) Co-labeling Mov eo 105

19 PhiControl Design and simulate model based predictive controllers Sherpa Engineering 12, avenue Verdun La Garenne- Colombes Philippe Fiani 4,4 M 60 employees P hicontrol is a library of Simulink blocks to design, tune, analyze and simulate advanced control systems. PhiControl ensures easy design of the complete closedloop while including process constraints. The control blocks enable the management of operating modes and fault detection. PhiControl supports C-code generation for rapid prototyping and embedded system design. PhiControl provides PFC (Predictive Functional Control) controllers which are suitable for most control problems even unusual dynamic behavior. It also provides classical PID (Proportional-Integral-Derivative) controllers. In order to simulate and analyze the control loop, PhiControl provides models for actuators and sensors, as well as blocks for signal processing and fault injection and detection. The library is fully compatible with Simulink, and has also been exported to other simulation environments such as AMESim, Dymola, SimulationX. 106 Predictive control, Multi-mode and fault management, C code generation Transportation, Automotive, Aerospace & Aeronautics, Energy, Process Industry Alstom Power, PSA, CEA List, Renault, Safran, Schneider Electric ADN4SE Competitiveness cluster(s) Co-labeling Minalogic

20 PhiSim Multi-physics modeling platform for behavior simulation of controlled systems Sherpa Engineering 12, avenue Verdun La Garenne- Colombes Philippe Fiani 4,4 M 60 employees hisim is a software tool designed for engineers working on modeling controlled dynamic systems involving multiple P physical domains. PhiSim allows handling models of physical systems in a Bloc-Diagram environment with more flexibility, quicker and cheaper model development and simulation, as well as with easier model maintenance. PhiSim incorporates libraries, tools and utilities that facilitate the modeling and simulation of controlled dynamic systems. The libraries are compatible with the Simulink simulation environment, and have also been exported to other simulation environments such as AMESim, Dymola, SimulationX. System modeling and simulation, Control design, Customizable libraries, HIL-compliant Transportation, Automotive, Aerospace & Aeronautics, Energy, Process Industry Alstom, Air liquide, DCNS, IFP, Renault, Safran, Schneider Electric EDONA 107

21 RokCell Software for the characterization of porous materials for time domain models MATELYS - Research Lab 1, rue Baumer Vaulx-en-Velin François-Xavier Bécot contact@matelys.com 0,2 M 4 employees R okcell is an assistant for the characterization of porous materials via impedance tube measurements. Besides porous material and fabrics characterization, RokCell allows the identification of an impedance model suitable for numeric time domain schemas, including absorbent treatments such as perforated plates or porous materials (fibrous, foams, etc.). Target applications include aeroacoustic calculations in the automotive, aerospace and rail domains, or sound propagation in the environment. It allows direct exporting of results for the LaBS software, that is based on the LBM method (Lattice Boltmann method). More generally, it is suitable for all CFD models using a time domain impedance model of Özyörük type. Characterization from tube measurements or simulations, adjustable frequency range, variable incidence Transportation, Energy Airbus, Renault, Valeo LaBS Competitiveness cluster(s) Co-labeling LUTB, Mov eo 108

22 RTMaps (Real-Time Multimodal APlicationS) Asynchronous high performance platform designed to cope with and overcome multi-sensor challenges INTEMPORA 2, place Jules Gévelot Issy-les- Moulineaux Philippe Lebon Accurate timestamping of samples, asynchronous and multi-threaded execution engine, recording/playback TMaps is a modular (component-based) platform for rapid development of real-time multi-modal applications. The R RTMaps middleware can handle numerous high-bandwidth heterogeneous data streams and provide capabilities for accurate data timestamping, real-time processing and data fusion, as well as recording and real-time playback for offline developments and validation steps of advanced functions. RTMaps is widely used in the following domains: Automotive (development of ADAS and autonomous vehicles), Robotics, Human factors, Datalogging, Advanced HMI developments The use of RTMaps allows engineers and researchers to save much time and efforts in the development process, as well as to capitalize on their developments in the form of re-usable components, and to cooperate with the capacity of exchanging components and datasets. Transportation, Enterprise Information systems, Factory of the future, Healthcare, Security DCNS, DGA, PSA, Renault, Thales, Valeo... PROTEUS Competitiveness cluster(s) Co-labeling Aerospace Valley, ViaMéca 109

23 SAUL (Surface-Adapting ULtrasound) Surface-adapted ultrasound system for entirely-automated real-time testing T he SAUL Ultrasound surface-adapted method is a fully automated solution with one probe, one software tool and one file, capable of handling more than 250 geometries (flat surfaces, concave or convex). During testing, a single probe is used to test a large variety of geometries. This is achieved by means of an iterative algorithm that does not require knowledge of the geometric and acoustic properties of the component under inspection. The SAUL method is compatible with factory production constraints, and has notably been deployed at EADS Composites Aquitaine. M2M 1, rue de Terre-Neuve Miniparc du Verger, Bâtiment H Les Ulis Guillaume Neau g.neau@m2m-ndt.com 5,1 M 43 employees Fully-automated inspection, real-time composite testing, over 250 geometries handled Transportation, Composite components, Metals production NextSTEP 110

24 SOUND STAGE Audio enhancement and quality improvement of sound systems ARKAMYS 31, rue Pouchet Paris Jean-Michel Raczinski 5 M 35 employees A rkamys Sound Stage is a software solution for companies seeking to improve the quality of in-car sound system, mobile phones and TV sets audio performances. Using audio signal processing technology, sound is adapted to each environment, without modifying the hardware. Arkamys provides a comprehensive range of software solutions to improve any listening experience. Arkamys products lines are dedicated for: Improving the acoustic comfort in a vehicle Reducing the noise and cancelling the echo during a telephone conversation in a car environment Providing a pinpoint 3D positioning of sound and a true sound stage Enhance the audio performances of any electronic device Noise cancellation in vehicles, sound stage and psychoacoustic renderings, 3D and sound spatialization Transportation Citroën, Hyundai, Kia, Peugeot, Renault DEGIV 111

25 X SPARE Real-time command and control software SDI 8, rue Constantin Pecqueur Taverny Emmanuel Sohm 2 M 15 employees X SPARe is a standard software suite catering to command-and-control, acquisition and test-facility data analysis needs. The suite is used for the production of testing equipment for facilities ranging from R&D centers to production lines. X SPARe easily generates test sequences for validating the quality of industrial products, and facilitates the management of results. Integration of the link between the tests and the Open Source digital simulation for mhil tests Transportation, Energy, Factory of the future, Healthcare Bosh, FAW, PSA, Zodiac Aerospace AGREGATION Competitiveness cluster(s) Co-labeling Astech 112

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27 The Cluster and its R&D projects are supported by: DIRECCTE Ile-de-France, the Industrial Renewal Ministry regional representative, works side by side with competitiveness clusters. DIRECCTE supports governing bodies of Systematic, leads funding committees of the Fonds Unique Interministeriel (FUI), and supports the 2M Ambition PME program. The ANR and the competitiveness clusters have three shared objectives: to reinforce the links between the public and private research players, to create value from the research, and to build scientific communities that gain national and international recognition. Since 2005 the ANR has implemented an incentive policy for competitiveness clusters through the recognition of the cluster label in the project selection process. For R&D projects accredited by the French clusters, BPIFRANCE mobilizes support for innovation and strategic industrial innovation programs. Specific actions have also been developed in collaborative projects, and the public authorities entrusts to BPIFRANCE the Fonds Unique Interministériel management. First French economic region and first European region for technological research, the Paris Region chose to encourage this potential and thus to contribute to technology transfers and to economic valorization of results while investing more than 200M per annum in economic development and innovation. Around 20,000 researchers are working in Essonne in the scientific sector. To promote its wonderful potential in research and innovation, the General council of Essonne has developing strong policies supporting higher education, public research, technological innovation and the promotion of cluster. The City of Paris has launched a complete open innovation policy to boost collective intelligence and the area s economic dynamism. The support to competitiveness clusters, where research institutes, SMEs and large companies can collaborate is an integral part of this approach. 143