lumenous trust mit media
DESCRIPTION
An exploration of how to bring about transparency and fairness in commercial credit by putting business owners in charge of their data. Commercial credit evaluations cover trade credit ($2T) as well as small business loans, alternative lending and procurement ($2T).TRANSCRIPT
Data-Sharing Trust and Identity PlatformData-Sharing Trust and Identity Platform Many small businesses participating in $4T economyMany small businesses participating in $4T economy
Contact: LaVonne Reimer Contact: LaVonne Reimer [email protected]@lumeno.us
$150B data broker industry thwarts small business growth$150B data broker industry thwarts small business growth
Company Confidential
Black box
Lost opportunity
Errors and DelaysErrors and Delaysin flow andin flow and TermsTerms
InformationInformationAsymmetryAsymmetry
Small andemerging
businesses
Lenders andfinancial
stakeholders
Company Confidential
Time to level playing field, put business owners in chargeTime to level playing field, put business owners in charge
Harness & share datawith stakeholders,
no intermediary
Professionalcredentials
Industrycertifications
Financial data &forecasts
Public filings &legal records
Data brokerinformation
Credit bureauscores & files
Small andemerging
businesses
Lenders andfinancial
stakeholders
SMBs in charge of data drive greater trust and fuel growth
Company Confidential
Continuouslyimprove profiles,
selectively share.
Balanced benefits andparticipation drive moreinnovative uses of proof.
Relationships and trust grow,inspiring more data and interactions.
Businesses adddata to prove
credit and trust1
Invited creditorsinteract and
contribute data2
Businesses gainclout; Creditorsgain visibility3
Collaborativecredit and trust
unlocks $4T4
Free market principles operate to thebenefit of SMBs and their stakeholders.
Harness & share datawith stakeholders,
no intermediary
Powered by first system to manage user-aggregated big data
Patent-pending technology with 18 month dev lead proven in pilots--Patent-pending technology with 18 month dev lead proven in pilots--
•• Unprecedented sharing flexibilityUnprecedented sharing flexibility
•• Data veracity without black boxData veracity without black box
•• Adapts as credit practices evolveAdapts as credit practices evolve
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Par
ticip
ator
yda
ta c
olle
ctio
nFilterable dataFilterable data
intelligenceintelligence
Users interactUsers interact& contribute& contribute
Algorithms tostandardize &
verify data
Par
ticip
ator
yda
ta c
olle
ctio
n
Filterable dataFilterable dataintelligenceintelligence
Users interactUsers interact& contribute& contribute
Algorithms tostandardize &
verify data
Set apart by use of data science to replace black box models
Company Confidential
Autom
ated datacollection
ProprietaryProprietarydata storedata store
Passive dataPassive dataconsumptionconsumption
Analytics toextract creditpredictions
Lumenous--Learning algorithms Lumenous--Learning algorithms Black Box--Machine algorithms
Complex data science
Complex data science
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Data model, framework forged with unique user communityData model, framework forged with unique user community
Harness & share datawith stakeholders,
no intermediary
Tech networkswith 30K small
businesses
750+ banks;$100B in loans;
150K SMBs
•• Kick-start via community,Kick-start via community,Broaden via data partnersBroaden via data partners
•• Propagate viaPropagate via built-inbuilt-insocial mechanismssocial mechanisms
•• Proven across technology &Proven across technology &business credit ecosystemsbusiness credit ecosystems
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100 newbusiness
users
2 bank orprocurement
managers
10K businessusers, aggregatedata generating
$12M/year
200 newfinancial
stakeholdersUser #1
User acquisition strategies tap natural data-sharing behaviors
Validated viral loops drivefrom user #1 to $12M
Lumenouscommunity
Usedata partnersfor horizontal
growth
2 creditors per business user;50 businesses per credit user
Technology Contributors: Leaders in open data and collaborative platformsTechnology Contributors: Leaders in open data and collaborative platforms
• Sebastian Hassinger: IBM open standards• Bill Burcham: Contributor to UBL, Oasis• Stephen Walli: Open technologies
• Ward Cunningham: Inventor of Wiki• Daniel Harris: Architect at Bloomberg• Doug Reed: Data aggregation, Intuit
Go-to-Market Contributors: Leaders driving trust systems andGo-to-Market Contributors: Leaders driving trust systems and $100B+ in loans$100B+ in loans
• Don Thibeau, Data privacy and identity: Open Identity Exchange, TransUnion, Lexis/Nexis• Chris Nichols, Community banking: C-level exec at correspondent banks serving 1,600 banks• Jodi Delahunt Hubbell, Small business lending: CEO in Zions family of 450 banks
Daniel Shupp, CTODaniel Shupp, CTO
• 20 years in cloud architecture andagile development at IBM China,Websphere, Freerange Technology
• Computer science, Johns Hopkins;Grad studies in Quantitative Finance
LaVonne Reimer, CEOLaVonne Reimer, CEO
• 15 years in open web at Cenquestand small business incubator withIBM, Intel, open source communities
• Business ethics/law at Townsend &Townsend, Tektronix, Amicus Group
Company Confidential
Team brings deep data privacy and standards experience
Bringing data innovations toSMB capital and commerce
Contact: LaVonne [email protected]
503-720-0690
Company Confidential