REALIZE THE VALUE OF KNOWEDGE

Transform your existing camera feeds into actionable data

PRODUCT OVERVIEW

CUTTING-EDGE FACE RECOGNITION CAPABILITIES

HIGHLY AFFORDABLE NEED-BASED PRICING

SААS AND ON-PREMISE DEPLOYMENT

TRIVIAL INTEGRATION AND AUTOMATION

ADVANCED ANALYTICS AND INSIGHTS

HUMAN-FIRST APPROACH TO PRIVACY

OUR CUSTOMERS

INDIVIDUALS

Once having installed our Voyager IoT device, you can securely monitor your residence, villa or commons

ENTERPRISES

Our platform and your data enable automation and quantification of most aspects of your company

USE CASES

RETAIL

BANKING

HOSPITALITY

SECURITY

MANUFACTURING

ACCESS CONTROL

CUSTOMER ENGAGEMENT

IDENTIFICATION OF VIPs

DEMOGRAFIC SEGMENTATION

UNIQUE / RECURRENT VISITS ANALYTICS

TIME TRACKING ANALYTICS

ROADMAP

Q2 2018

Q3 2018

Q1 2019

Q2 2019

Q4 2019

Q2 2020

Idea genesis

Prototype completion

Deployment of B2B module

Completion of Voyager IoT device

Entry into the mass market segment

Completion of demographics module

Q2 2018

Idea genesis

Q3 2018

Prototype completion

Q1 2019

Deployment of B2B module

Q2 2019

Completion of Voyager IoT device

Q4 2019

Entry into the mass market segment

Q2 2020

Completion of demographics module

PRICING

Request Quote

Our pricing structure is based on your specific needs and requirements. It is typically driven by the following factors:

Number of cameras

Usage of specific features

Customization and integration requirements

Hardware requirements (in case of on-premise deployment)

Please fill out the following form and we’d be happy to discuss your needs and requirements in detail in order to structure a pricing offer that works for you.

QUOTE DETAILS

BOARD OF ADVISORS

  • MANUEL MUÑIZ

  • SILVIA CONSOLE BATTILANA

  • ALEXANDER RADEV

  • NIKOLAY DIMITROV

  • RAFAL JOZEFOVICZ

  • OGNYAN KOUNCHEV

MANUEL MUÑIZ

PROFESSIONAL BACKGROUND

  • IE University – Dean, School of International Relations (2017-present)
  • Harvard University – Senior Associate (2017-present), Director of Program on Transatlantic Relations (2015-2017)
  • Rafael del Pinto Foundation – Director of Program on Global Leadership (2014-present)
  • Tufts University – Lecturer (2016-2017)
  • United Nations – Consultant (2015)
  • Sciences PO – Research Fellow (2012-2014)
  • Harvard Kennedy School of Government – Course Assistant (2010-2011)
  • Muniz Bernuy Law Firm – Partner (2004-2009)

ACADEMIC BACKGROUND

  • Oxford University: PhD, International Relations (2016)
  • Harvard University Kennedy School of Government: MPA Degree (2011)
  • Instituto de Estudios Bursátiles: MSc Degree, Finance (2009)
  • Universidad Complutense de Madrid: JD, Law (2007)

INTERESTS

  • Innovation and disruption, geopolitics, and regional and global governance

SILVIA CONSOLE BATTILANA

PROFESSIONAL BACKGROUND

  • Auctionomics – CEO (2008-present
    • US FCC incentive auction (auction design team), raised more than 19 billion, (2011-present)
    • Assisted Law firm for US Treasury Auction
    • Canadian 2,500 MHz spectrum auctions
    • Canadian AWS auction (2014)
    • Canadian 700 MHz spectrum auction, 5.27 billion CAD, analysis of CCA auction rules, implications of revealed preference rules, bidding strategy and regulatory interactions, (2012-2014)
    • Canadian GCNET WAN auction, analysis of rules and plan for bidding
    • Dutch and British CCA auction, 3.8 billion EUR and 2.37 billion pounds, assistance in review of bidding behavior, exploitation of rules on behalf of small bidders with reserved spectrum
    • Norwegian auction, 1.78 billion NOK, analysis of sealed bid auctions and bidder incentives in first price auction with caps (2013)
    • Morocco auction, 2 billion MAD preparation of presentation to regulator on different types of auctions
    • Czech Republic auction, 8.52 billion CZK, SMRA auction bidding strategy and regulatory interactions, (2012-2013). Romanian spectrum auction, SMRA auction bidding strategy, (2011)
    • French Spectrum auction, 2.64 billion EUR, combinatorial sealed bid auctions strategic bidding incentives with bid multipliers based on MVNO access (2012)
    • Brazilian spectrum auction, 2.93 billion, round robin bidding process and late versus early bidding incentives (2012)
    • Colombian gas auction, 2.61 billion USD, designing product standardization for government (2011)
    • Spanish spectrum auction, 1.65 billion EUR, bidder incentives in SMRA auction with “dirty” block, analysis (2010)
    • Australian VAGO auction, 614 M AUD, reviewing bidding history for government to highlight shortcomings in auction design (2009)
    • Chilean fishing auction, proposing auction design to government (2009)

ACADEMIC BACKGROUND

  • Stanford University: PhD, Economics (2007)
  • Bocconi University: BA Degree, Economics (2001)
  • Wharton Business School: MBA Exchange Program (1999)

INTERESTS

  • AI and its applications across sectors.
  • Interception between government, academia and technology.
  • Swimming, skiing, beach volleyball.

ALEXANDER RADEV

PROFESSIONAL BACKGROUND

  • LoopMe - Senior Data Scientist (2017-present)
  • Nielsen
    • Senior Research Statistician/Data Science Global Research and Development (2014-2017)
    • Statistician / Regional Statistical RMS COI Leader - Europe (2008-2013)
  • BASF - Intern (2008)
  • Fraunhofer ITWM - Research Assistant (2005-2008), (2003-2004)
  • CyTexx - Web Developer (2004-2005)
  • I:FAO Bularia - Software Developer (2000-2003)
  • BAH! Design - Intern (2000)
  • Intransco - Web Developer (1998-1999)

ACADEMIC BACKGROUND

  • University of Kaiserslautern: MA Degree, Business Mathematics (2008)
  • University of Kaiserslautern: BA Degree, Mathematics (2006)
  • New Bulgarian University: Psychology (2005)
  • Sofia University: Computer Science (2001)

INTERESTS

  • AI and its applications across sectors
  • Mathematics, leadership and communication
  • Motorsports

NIKOLAY DIMITROV

PROFESSIONAL BACKGROUND

  • Technical University of Denmark, Department of Wind Energy – Senior Scientist/Scientist (2013 – present)
    • Research in applied statistics, structural reliability and probabilistic design in wind energy
    • Research project management: probabilistic design, big data & digitalization
    • Teaching: probability and statistics in wind energy
    • Statistical learning: models for fault detection, lifetime prediction, risk-based decision analysis, design optimization
    • Statistical modelling of wind and wave conditions and their effect on structural design
    • Risk-based decision support
  • Siemens Wind Power A/S – Industrial PhD project (2009 – 2013)
    • Structural reliability of wind turbine blades
    • Probabilistic modelling of properties of composite materials
    • Probabilistic aerodynamic load modelling
    • Finite-element analysis
  • Siemens Wind Power A/S – Development engineer (2008 – 2009)
    • Offshore wind farm design loads and type certification

ACADEMIC BACKGROUND

  • Technical University of Denmark: PhD, Mechanical Engineering (2013)
  • Technical University of Denmark: M.Sc. degree, Wind Energy (Civil Engineering) (2008)
  • Technical University Sofia: B.Sc. degree, Manufacturing Engineering (2004)

INTERESTS

  • Photography, Mountaineering, Astronomy
  • Speaking English, Danish, Polish, and Bulgarian (mother tongue)

RAFAL JOZEFOVICZ

PROFESSIONAL BACKGROUND

  • OpenAI – Research Scientist (2016-present)
  • Google – Software Engineer (2014-2016)
  • Two Sigma Investments – Quantitative Software Engineer (2010-2014)
  • Microsoft – Software Development Engineer (2009-2010)

ACADEMIC BACKGROUND

  • Jagiellonian University, Poland: Computer Science (2010)
    • Tensorflow: Large-scale machine learning on heterogeneous distributed systems Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
    • An empirical exploration of recurrent network architectures Rafal Jozefowicz, Wojciech Zaremba, Ilya Sutskever
    • Exploring the limits of language modeling Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, Yonghui Wu
    • Generating sentences from a continuous space Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, Samy Bengio
    • Improved variational inference with inverse autoregressive flow Diederik P Kingma, Tim Salimans, Rafal Jozefowicz, Xi Chen, Ilya Sutskever, Max Welling
    • Revisiting distributed synchronous SGD Diederik P Kingma, Tim Salimans, Jianmin Chen, Xinghao Pan, Rajat Monga, Samy Bengio, Rafal Jozefowicz
    • Learning to generate reviews and discovering sentiment Alec Radford, Rafal Jozefowicz, Ilya Sutskever

OGNYAN KOUNCHEV

PROFESSIONAL BACKGROUND

  • Bulgarian Academy of Sciences – Professor of Pure and Applied Mathematics (1993-present
  • University of Duisburg-Essen – Postdoctoral Fellow (1992-2009)
  • University of Duisburg-Essen – Project Manager (1996-1999)
  • Bulgarian Academy of Sciences – Assistant Professor (1984-1993)
  • Visiting Professor across various institutions:
    • University of Bonn, Germany – Institute of Applied Mathematics (2005, 2006, 2009)
    • University of Duisburg-Essen, Germany – Institute of Mathematics (2002, 2003, 2004, 2005, 2006)
    • University of Wisconsin - Madison, USA – Department of Computer Sciences (2000-2001)
    • University of Hamburg, Germany – Institute for Applied Mathematics (1999)
    • University of Duisburg, Germany – Department of Mathematics (1996-1998, 1992-1994)
    • University of Hamburg, Germany – Institute for Applied Mathematics (1997)
    • University of Potsdam, Germany – Department of Mathematics (1994, 1995)
    • Northwestern University, Evanston, USA - Department of Mathematics (1991)

ACADEMIC BACKGROUND

  • Belarusian State University: PhD, Applied Mathematics
  • Sofia University St. Kliment Ohridski: MSc, Pure and Applied Mathematics

INTERESTS

  • Time Series Analysis, Multivariate Series Analysis
  • Mathematical Finance
  • Harmonic Analysis with focus on Wavelet Analysis
  • Elliptic BVP in domains with singularities

WANT TO JOIN US?

CONTACT

Centroida JSC

46 Akad. Stefan Mladenov Street, Entr. A, Office 15A

Sofia 1700, Bulgaria

info@centroida.ai
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