Mogden - Pavel Kordik
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This document describes Modgen, an artificial intelligence company that provides a platform for automated recommendation and prediction. It can predict things like customer behavior, risk, churn, upsell, and delinquency. It can also recommend products, movies, songs, news, and other items. The platform aggregates and processes data to build precise predictive models using machine learning and AI. It delivers insights and decisions within hours using proprietary filters and boosters. Examples are provided showing recommendation of TV shows, prediction of customer churn for a telco, prediction of oil additives from IR spectra, and personalized shopping experiences for e-commerce sites.
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INVEA-TECH is a network monitoring and security company that provides next generation network traffic and performance monitoring and network security behavior analysis solutions. Their FlowMon product provides visibility into network traffic and detects suspicious behavioral changes and anomalies to reveal attacks that cannot be detected by standard signature-based approaches. The company has over 500 customers including international ISPs, telcos, and data centers that use FlowMon for traffic engineering, reporting, billing, compliance, and DDoS protection on networks of up to 100G.
Demo day intro + agenda
The Czech Enterprise Demo Day agenda outlines a reception and introductions starting at 6:00 PM on June 3, 2014 in New York. Six Czech companies - Belladati, Boldbrick, Inveatech, Modgen, Safetica, and Trustportnews - will each have a short presentation starting at 6:45 PM. The event will conclude with closing remarks and a continued reception at 8:00 PM. Attendees are provided with WiFi login credentials.
Blazek - Legal Framework
Jana Nováková
Tel: +420 221 622 111
Email: jana.novakova@kinstellar.com
Kinstellar Prague
Na Příkopě 859/22
110 00 Prague 1
Czech Republic
Tel: +420 221 622 111
Fax: +420 221 622 222
www.kinstellar.com
Klapste - M&A Opportunities
This document provides an overview of mergers and acquisitions opportunities in the Czech Republic. It discusses the state of the M&A market, largest deals completed in recent years, key macroeconomic indicators, reasons to invest in the Czech Republic as well as sectors poised for future growth. Contact information is provided for Patria Corporate Finance, a leading M&A advisory firm operating in the Czech Republic.
Linhart - Tax System
The document provides an overview of the tax system in the Czech Republic, including corporate income tax, personal income tax, VAT, and international tax considerations. It discusses key tax rates, rules around corporate and personal income taxation, deductible and non-deductible expenses, tax depreciation, incentives, transfer pricing regulations, and VAT principles and rates in the Czech Republic.
Chovanec - CzechLink - M&A
This document summarizes CzechLink, a platform run by CzechInvest that assists with mergers and acquisitions in the Czech Republic. CzechLink provides services to both investors looking to enter or expand in the Czech market through acquisitions, as well as Czech companies seeking investors. It outlines the types of companies that participate, which are established Czech firms considering an exit or seeking growth capital. CzechInvest prepares detailed prospectuses on participant companies to help attract potential buyers. The service aims to increase visibility for sellers and provide buyers with knowledge of the Czech market and actively seeking acquisition targets.
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- 1. Modgen s.r.o. Praha 2 – Vinohrady Americká 177/35 PSČ 120 00, Czech Republic www.modgen.net CEO Jan Černý +420 724 919 638 jan.cerny@modgen.net PREDICTION AND RECOMMENDATION PLATFORM Delivering insights to business with artificial intelligence, automation in hours.
- 2. Top data science team Jan Černý Pavel Kordík Tomáš Řehořek Tomáš Bartoň Antonín Král CEO / predictive modeling platform, AI CSO / data preparation, meta-learning, optimization CTO / recommender systems Clustering, big data infrastructure Computing, data streaming 20 years machine learning experience BACKGROUND Data streaming infrastructure in CERN Experts in Data mining automation
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