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    InCi hts Mobile Solution Pvt. Ltd.

    Corporate Presentation

    Mobile Apps Based on Natural Language

    Processing.

    incubated at:As

    wirelessapps

    arebecoming

    more

    smarterandsophisticated

    ,WeBelieve

    EveryAppwill

    requireauthentication

    UsingVoice,W

    eProvideUbi

    quitous

    Authentication

    toMobileAp

    ps

    Chief Mentor:Mr. Anirudh Prabahakaran

    ( CEO, 3i Infotech.Member IAN)

    Tuesday 22 November 11

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    The Enabling Team- Multiyear Experience with Access tobest Practices

    Class of 2010Best Business Plan Finalist Kit Sponsor For

    Mobile Broadband:

    Igniting the Service

    Revolution

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    The person, who has my office id card, can...

    The person, who has my credit cards details can...

    The person who knows my password, can...

    The person, who steals my passport, can...

    The person, who is able to forge my signature, can...

    The Person, who has access to my mobile, can...

    The need forAuthentication, Privacy, and Securityof Mobile Application isupmost, but the Challenge is access and integration to last mile deviceconnectivity and high cost of Authentication.

    The Challen es - Authentication

    Tuesday 22 November 11

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    It becomes obsolete to beware passwords safely or to remember toall of them

    Abuse of stolen id cards and passwords will be reduced enormously

    Abuse of stolen id cards and passports will be reduced enormously

    Taking over foreign identities will be impossible

    Building access right to people without the right of admittance will beprevented

    Access to devices/computers will be not possible for persons withoutthe right of admittance.

    Unnecessary cost of monitoring and managing last mile devices willbe drastically reduced

    The Ubi uitous Authentication- Voice

    And the biggest advantage is ability to get authenticate from anywhere,anytime

    Tuesday 22 November 11

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    People do not trust Unknown Voice, though very fewknow beyond Voice.

    People are ready to pay only for personalized anduseful apps.

    Voice can enable next generation mobile wallets likeVirtual Credit Cards and other mCommerce Apps

    Both Rural and Urban markets provides for newinnovative services and method of Distribution, since

    telecommunication devices are most pervasivechannel to reach to the people

    But ....

    Anexponen(al demandforuniqueservices can

    be created, so that service availability will

    becomeanewchallengetobeaddressedTuesday 22 November 11

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    Revenue According to Biometrics Technology (USSD Mn)

    The Economics of Voice Biometrics

    0"

    20000"

    40000"

    60000"

    Finger"Iris"

    Face"Voice"

    Cost of Last Mile Devices (INR)

    HighVery HighLowHighSystem Cost

    PossibleNoYesNoLiveness Aware

    10%0.001%0.75%0.1%Nominal False RejectRate

    4%6%0.75%2.5%Nominal False AcceptRate

    ~0%7%2%4%Failure to Enroll

    4.1%4.1-4.6%0.1 - 0.86%23.3%Equal Error Rate

    PassiveActiveActiveActiveMethod

    PhysicalPhysicalBehavioralPhysicalType

    FaceIrisVoiceFinger

    HighVery HighLowHigh

    System Cost

    PossibleNoYesNoLiveness Aware

    10%0.001%0.75%0.1%Nominal False RejectRate

    4%6%0.75%2.5%Nominal False AcceptRate

    ~0%7%2%4%Failure to Enroll

    4.1%4.1-4.6%0.1 - 0.86%23.3%Equal Error Rate

    PassiveActiveActiveActiveMethod

    PhysicalPhysicalBehavioralPhysicalType

    FaceIrisVoiceFinger

    Sources:

    Opus Research: Choosingthe Right Biometric

    University of Canberra

    European Commission JointResearch Centre, AnEfficient One-DimensionalFractal Analysis for IrisRecognition

    FVC2004: Third FingerprintVerification Competition

    Preliminary Report onDevelopment andEvaluation of Multi-Biometric Fusion using theNIST BSSR1 517-SubjectDataset

    0

    0

    0

    0

    0

    0

    0

    2005 2006 2007 2008 2009 2010

    AFIS

    Multimodal

    SignatureVoice

    Iris Recognition

    Middleware

    Hand Geometry

    Facial Recognition

    Fingerprint

    Tuesday 22 November 11

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    The DNA of InCi hts

    Convert(Voice((

    Print(

    To(CLASS(2((

    SMS((

    Voice(Biometric((+(Voice(Print((

    (Server(Applica9on(

    Voice(Print(

    Please(select(

    Language(

    1. English(2. Hindi(3. Telugu((

    Ok(((((((((((((Back(

    Please(select(

    Service(

    1. Top(Fups(2. Register((

    (Ok((((((((((((((Back(

    Voice(Prompt(

    Please(PROVIDE((

    Details(1. Name((2. Village(Name(3. App((name((4. District(Name(5. State(Name(

    Calling(

    54321(

    Registering(

    Please(Wait(

    ..((

    Sending(

    Class(2(SMS(

    Voice(Prompt(Please(speak(

    Your(PASSWORD(

    (

    Voice(Prompt((

    You(have(been(Registered((successfully(

    (

    Pl.(remember(Your(password(

    ((

    P

    B(

    X(N(

    U(

    M(

    Storage(

    Accoun9ng(

    Content(Applica9ons(

    Iden9ty( Devices(

    Applica'on*Infrastructure*

    Write(

    Voice(Print(

    To(SIM(with(

    Class(2(SMS(..(

    (

    Incights(Voice((

    Plaorm(

    Voice Signature

    * Patentable With InCights

    MultimediaApp

    Tuesday 22 November 11

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    The DNA of InCi hts

    Convert(Voice((

    Print(

    To(CLASS(2((

    SMS((

    Voice(Biometric((+(Voice(Print((

    (Server(Applica9on(

    Voice(Print(

    Please(select(

    Language(

    1. English(2. Hindi(3. Telugu((

    Ok(((((((((((((Back(

    Please(select(

    Service(

    1. Top(Fups(2. Register((

    (Ok((((((((((((((Back(

    Voice(Prompt(

    Please(PROVIDE((

    Details(1. Name((2. Village(Name(3. App((name((4. District(Name(5. State(Name(

    Calling(

    54321(

    Registering(

    Please(Wait(

    ..((

    Sending(

    Class(2(SMS(

    Voice(Prompt(Please(speak(

    Your(PASSWORD(

    (

    Voice(Prompt((

    You(have(been(

    Registered((successfully(

    (

    Pl.(remember(Your(password(

    ((

    P

    B(

    X(N(

    U(

    M(

    Storage(

    Accoun9ng(

    Content(Applica9ons(

    Iden9ty( Devices(

    Applica'on*Infrastructure*

    Write(

    Voice(Print(

    To(SIM(with(

    Class(2(SMS(..(

    (

    Incights(Voice((

    Plaorm(

    Tuesday 22 November 11

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    The Future

    Voice Signature

    Every Users needs Application and Connectivity to Access Services, This Transaction is

    based on certain Principle and Process which can be interpreted by Processing NaturalLanguage Interaction and Enabling Personalization through Multimedia Widgets

    Tuesday 22 November 11

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    InCi hts Mobile Solution Pvt. Ltd.Business Cases

    Dynamic App Generation Based on Natural

    Language Processing, Encrypted by

    Voice Print

    Tuesday 22 November 11

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    Asset Tracking(By$the$Right$

    Person)$

    $(At$the$Right$Place)$

    (Through$

    the$Right$

    Medium)$

    (Over$the$Right$

    Channel)$

    Map$$

    Human$Iden@ty$$

    with$$

    Physical$Assets$$

    Using$$

    Interac@ve$and$Engaging$

    Mul@media$Applica@on$$$

    GSM$TechnologiesF$

    Cheapest$and$Most$Pervasive$

    Communica@on$Channel$$

    MICE$

    TRANSACTION$

    PLATORM$$

    Business'Process''

    Ontology'

    Transaction !

    11$

    Tuesday 22 November 11

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    Fraud- Bankin and Financial Services

    * Annual RBI Report 2010: Based on Cases to RBI Ombudsman

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    Priority Banking, Credit Card transactions, Healthcare

    High-net-worth customers (Comprising of 34% of bank revenue: IBA) areamong a financial institutions most discriminating users of value-added

    services. They demand personal attention, privacy, convenience andabsolute security. Today most of the banks offer them the following services:

    tailoring services to individual client requirements anticipation of client needs a long-term relationship orientation

    personal Relationship manager discretion investment performance.

    But while customers call their representatives, they face the followingirritants:

    Need to provide their personal information again and Again, the processtakes around 4-5Minutes.

    Generally the personal banker does not have all the required informationat his/her disposal.

    Tuesday 22 November 11

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    Our Solution

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    InsuranceEvery consumer pay 1.5-2% extra

    Premium on account of Fraud accounting

    for more than 8%-KPMG Fraud Survey.

    Most of the Fraud Happen on two Counts:Delay in reporting of Policy and

    dominance of Usage of Cash

    Each Agent to be given Virtual Credit Card with X amount of Limit.During transaction, both agent and Customer to be authenticated using voice print.The Agent Collects the money from Customer and His credit Limit Fluctuates

    accordingly.Policy Claims -> Biometric based authentication during underwriting , in case theclaimant is not in a position authorized stand by person needs to speak which is also

    recorded during the registration.

    Tuesday 22 November 11

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    Financial Inclusion

    MICE%Tx%

    Pla+orm%

    Village%4%

    Village%3%

    Panchayat%

    Office%

    Village%5%

    Village%6%

    Village%7%

    Village%8%

    Village%2%

    Village%1%

    District%Level%

    Office%

    State%Level%

    Office%

    Bank%

    L e v e ra g e% B u i l t%infrastructure% to%

    reach% out% to% many%

    people%

    %Implementaon%of%MICE%Pla+orm%%

    %Buiild%the%ecosystem%to%enable%field%Operaons%

    RVR%%

    Bank%

    Registers%as%an%BCO%%with%the%Bank%

    Opens%a%%Float%&%savings%Account%for%

    Agent%with%%balance.%

    User%gets%registered%

    through%the%

    RVR%on%the%

    MICE%

    pla+orm%

    RVR%

    Agent%conducts%

    transacons%

    &%collects%

    money%for%

    each%tx%based%on%guidelines%

    and%kit%

    Transacons%get%logged%ON%

    pla+orm%

    DWH%Server%

    Collect%the%data%and%sweep%to%Incights%DWH%

    Data%%Analysis%%to%

    calculate%incenves%

    Agents%commission%is%calculated%&%credited%to%

    Agents%A/c,%LOYALTY%

    points%are%added%

    Bank%Server%

    Syncs%the%%pla+orm%

    Data%Mining%for%%

    %Customer%Profiling%%%Agents%Profiling%%Service%Profiling%%%What%sells,%where%and%why%%

    %Data%Mining%%Treasure%Hunt%

    Customers: SubK Basix transaction Pvt. Ltd.,Transerv ( Lunching virtual Credit Cards using

    VS (Voice Signature)

    Tuesday 22 November 11

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    Financial Inclusion- Com etitors

    Requirements!

    Mobile/POS/+/smart/card/! Mobile/phone/+/fingerprint/

    reader!

    Mobile/POS/with/smart/

    card!

    Solu

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    Thank You.Looking forward to Your Feedback