Executive Summary

The next generation of eBusiness is coming. It is a Semantic eBusiness or sBusiness, which is based on two disruptive technologies of Web 2.0.

1, The Semantic web. In the old eBusiness we find ourselves in jungles of business opportunities and in an Amazonian archipalagus of knowledge. The semantic new tools of the Semantic Web  provide us with maps that help us to discover the treasures in the jungles, and with strong boats that enable us to leverage the power of the water streams for the benefit of our business.

2, The Web Services. In the old eBusiness most of the work is done manually. In the sBusiness a growing portion of the work is done automatically, since applications and computers from different departments and even from different enterprises can talk with each other.

The benefits of the sBusiness for the user:

         ·           More accurate search engines.

         ·           Upgrade from search engines to re-search engines which include: Knowledge Collaboration, Natural language search, Automatic summary services, Automatic inference services and more.

         ·           Ability to have access to the  M2M (Machine to Machine) automatic transactions for input/output and for monitoring.

The benefits of the sBusiness for the corporate:

         ·           Better integration between different applications like CRM and ERP.

         ·           Integrative Automation of business processes and transactions by A2A (Application to Application) and M2M (Machine to Machine).

         ·           Integrative Collaboration and partnerships or O2O (Organization to Organization).

BrowzOn is a pioneer in leveraging those recent powerful tools of the "semantic revolution", in order to develop the Semantic-Business Suite (sBusiness Suite). This suite is revolutionizing the way organizations discover knowledge and business opportunities, collaborate with partners, Integrate and automate business process and serve their clients.

Use Scenarios: currently available or in development

A. Business opportunities: Discoveries and Decisions

B. eLearning1: eTextbookh and eLearner

C. eLearning2: eClass and eSchool

D. Knowledge Management

E. Strategy and Planning

F. Research and Development

G. eService

1.1 The Products of the sBusiness Suite and their benefits

·          Browzon™ - A Semantic Browser. An innovative thick client and the first browser with processing abilities. It empowers the user with a unified interface for browsing and processing knowledge, for text editing directly from the Internet, and for sharing knowledge in P2P or in Client-Sever manner.

·          Analyzer™ - A Semantic Analysis Tool for discovering, categorizing, and sharing resources like: innovations, expertise, business opportunities, and learning.

·          Harmonizer™ - A Semantic Portal for better collaboration and integration. An organic server that grow continuously.

·          Joongle™ - A Semantic Re-Search engine which empower the user by bringing him: inference engine, answer engine, and collaborating engine.

 1.2 Market Segments

           ·        Knowledge Segment: Innovation, Research, Consulting and Learning

           ·        Service Segment: Support, Call center, CRM

           ·        Finance and Commerce Segment: Sales, Procurement, Budget control

1.3 Benefits

·          General benefits: Access, analysis, monitoring, sharing and I/O, to business opportunities and to critical knowledge.

·          Staff: Enabling staff to dynamically find and connect with the expertise they need, when they need it to make decisions, solve problems, and serve customers.

·          Enterprise: Information integration, integrated collaboration, access to automated business processes, speed, efficiency, profit, and competitive advantage.

·          Customers: Feeling of belonging, continuity and personal service.

1.4 Basic Technologies

         ·           Semantic Web and XML for better understanding between users, for better machine to machine communication, and for text structuration.

         ·           Web Services and Processe Management for automation of processes, integration of platforms, intra-collaboration and extra-collaboration.

         ·           Grid or WWComputer for distributed collaboration, distributed content, and distributed automation.

1.5 Team

Dr Asher Idan: Founder and CEO

Consultant and lecturer for the top banks, telcom companies, and hi-tech firms in Israel. Lecturer in the Department of Information Science, Bar Ilan University of Israel (eBusiness, Knowledge Management), and in the Department of Education (eLearning), the Open University of Israel. Ph.D. Tel Aviv University, Israel, Thesis: “Concepts in Meta-theories of Knowledge”. M.A. Tel Aviv University, Israel, Thesis: “Epistemological Analysis of AI”.

Oron Vexler: Advisor for software development

Former Vice President for R&D in ICQ Ltd.. Heading the development of ICQ Instant Messaging. Managed and technically directed a team of 35 software developers and QA personnel. Responsible for taking the team from a “Garage operation” state to an “Organized software team”. During the period Oron served  with the company he was in charge of delivering the following products ICQ 99a, ICQ99b, ICQ 2000a, ICQ 2000b, ICQ Surf, ICQ Light (Java version) and various MAC versions of ICQ. Oron was also responsible for integrating the first SMS and Voice Over IP into ICQ. B.Sc., Computer Science. Technion, Israel Institute of Technology. Haifa, Israel.

Tal Michaelovitz: Founder and CTO

An experienced programmer in ASP/PHP and XML/RDF. B.Sc., Mechanical Engineering (Robotics). Technion, Israel Institute of Technology. Haifa, Israel

 Dr. Samuel Even: Advisor for business development

Former Colonel in the Intelligence Department, The Israeli Army, Head of the Research division. Ph.D., Economics. Technion, Israel Institute of Technology. Haifa, Israel.

Braunstain Arie: A programmer

MFC\Win32 programmer in a company  from the semiconductor industry. He develop software interface for various hardware units. The development also include serial Communication I/O,ActiveX, C++\Visual C++. He developed a technique to minimize HTML pages and to store them in ‘swf’  (FLASH) file format.

 Avi Levi: Chief Financial Officer

Founder of Levi Avraham C.P.A. B.A., Accounting. Tel Aviv University.

2.  Product Profile

2.1 The Components of the Semantic Business Suite

Browzon™ - A Semantic Browser

Browzon™ is "the Netscape Navigator and the Microsoft Explorer of the semantic revolution". It is the basic technology that enables collaborative knowledge and collaborative services by tools of semantic analysis, semantic warehouses and semantic search and discovery.

Analyzer™ - A Semantic Analysis Tool

Analyzer™ helps companies to analyze and present knowledge, service, and finance, across the entire organization so that they can make better business decisions. Seamlessly integrated with our Semantic-Business Suite, Analyzer provides visibility into all business categories to help identify opportunities of knowledge, service, finance and commerce.

Harmonizer™ - A Semantic Portal

Harmonizer™ provides a powerful software foundation for easily incorporating expertise discovery and search into any application via an extensive set of XML APIs. Additionally, this platform offers the unique ability to build or extend applications with expertise assessment capabilities, enabling more effective intellectual capital management and planning. Use Harmonizer™  to enhance applications such as CRM, ERP, Knowledge Management Systems and Workgroup Collaboration by providing expertise for streamlining business processes and access to information.

Joongle™ - A Semantic Re-Search Engine

Joongle™ provides full expertise discovery and search capabilities by integrating with key enterprise systems such as e-mail and document repositories. It continuously discovers corporate knowledge by intelligently parsing electronic messages and documents to learn about the work-focus, interests, and experiences of each user. The results are used to automatically generate a searchable, up-to-date expertise database, easily accessible from a variety of interfaces: e-mail, web browsers, and corporate portals.

2.2 Advantages and Disadvantages

 1.      Disadvantages

A.      Maintenance: If the Semantic Web will be slowly adopted, there will not be enough semantic content for the user. It will force us to develop corporate-specific content, which will make the maintenance more expensive.

B.      Risks:

market risk. 1, The competitors will be faster than us. 2, Big companies like Microsoft and AOL, think that browsers are their exclusive domain.

pricing risk

product risk

management risk

 C.      Costs: Unknown yet

D.     Learning curve: Users will refuse to analyze texts in digital format because they get used to analyze texts in paper format (markers, written notes, etc’).

 2.      Advantages

 A.     Benefits

More accurate search engines.

Upgrade from search engines to re-search engines which include: Knowledge Collaboration, Natural language search, Automatic summary services, Automatic inference services and more.

Ability to have access to the  M2M (Machine to Machine) automatic transactions for input/output and for monitoring. This make our Semantic Business Suite “Web Services Ready”.

 B.      Opportunity

Once in 10 years: after the PC revolution (1980-1990) and the Internet revolution (1990-2000), now come the SEMANTIC revolution (2002-?).

The Semantic quantum leap: The Semantic Web and the Web Services.

We are two years before the competition.

The conceptual advantage.

2.3 Intellectual property: Legal Protection (patentability) and technological (algorithms) Protection.

A, Legal

We made an initial check in http://www.uspto.gov/patft/index.html.

Further check will be done in May in the Chief Scientist Office in the Ministry of Industry and Commerce.

B, Technological

In the demo stage, our Analyser-client is innovative conceptually, because it is the first integrated Browser-Editor-Analyser in the world. In the prototype stage, our Harmonizer-server will be innovative technologically too. This is because it is the first “distributed-collaborative human processor” in the world, which will include: Algorithms for the Inference engine which will serve as a routing point of the Analyzer harvest, and algorithms for the Decision engine which will be based mainly on the work done by the Opportunity Analyzer.

2.4 Stages of product development

A, Demo of the Analyzer (completed in February 2002)

B, Prototype of Analyzer client and Harmonizer server (June 2002)

C, Alfa (February 2003)

D, Beta and field experiments (March 2003)

E, First Sales (2003)

 3.  Market Profile

3.1 Market Segments

Knowledge Segment: Innovation, Research, Consulting and Learning

·          Minimize risk of product failure, reduce R&D cost, and streamline the entire product development cycle.

·          Rapidly assemble project teams based on skills and interests

·          Keep the right people informed

Services Segment: Support, Call centers, CRM

·          Increasing client satisfaction, optimizing resource allocation, and minimizing downtime costs.

·          Increase staff utilization and involvement for clients' needs

·          Reduce training and development costs

·          Share information with staff more quickly and accurately

·          Identify skill gaps for customers service, for better strategic planning

Finance and Commerce Segment: Sales, Procurement, Budget control

           ·           Identify sourcing opportunities and consolidate demand across divisions, eliminating redundant suppliers, prioritizing sourcing activities, and identifying key stakeholders.

           ·           Spot emerging trends such as large buys or new areas of demand that indicate a contract opportunity

           ·           Support the sourcing process, historical spend with bidding suppliers. This visibility into corporate spend helps buyers negotiate better pricing and terms

           ·           Continually monitor spend patterns to ensure savings targets are achieved.

3.2 The Market

The market for the semantic business, or eBusiness 2.0, is an emerging one. Thus, we assume that:

                 ·          The present market for eBusiness (enterprise portal, eERP, eCRM, eSCM eProcurement, eKnowledge management, and eTraining) is about 60 Billion $. The semantic revolution will take most of the market of eBusiness 1.0 (the pre-semantic eBusiness).

                  ·           It will bring new customers to the market of the eBusiness, because the new benefits of the semantic business.

3.3 The competition: products and firms

Semantic Browsers: www.w3.org/Amaya  , www.doczilla.com  

 Analyzers: http://www.megaputer.com , www.rulespace.com  ,

www.w3.org/2001/annotea Analyzer for WWTextbook, www.questia.com  eTextbook with proto-analyzer, www.metatext.com  eTextbook, www.rovia.com  eTextbook, www.microsoft.com/elearn/support.esp  Semantic eTextbook

Semantic Portals and Servers: www.semanticwebserver.com , www.360.com , http://www.semio.com

 Semantic Engines: http://www.iphrase.com/ Decision-discovery engine, www.vigil.com Sensing and monitoring Engine www.appliedsemantics.com  Semantic infrastructure, www.vivisimo.com Categorizing engine, www.primus.com  Answer Engine, www.jarg.com  Knowledge engine

4.  Business Proposal

 For the first stage we seek 52,000$, and for the second stage we seek 300,000$ of additional equity. We can provide an exit for this investment within 3 years by public offering, recapitalizations, or sale of company.

Stages of Business development

A, Pre-Seed fund rising (52,000$) for the prototype

B, Seed fund rising (300-500,000$), and/or finding a partner, for the Alfa

C, First round (3-5,000,000$), and/or finding a partner, for Beta, field experiments (March 2003) and first Sales (2003)

Expenses for stage A. Pre-Seed fund rising for the prototype