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Female Founder Challenge
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00:00Sous-titrage Société Radio-Canada
00:30This award, maybe you don't know it, but with two main objectives
00:34To facilitate VC startup meetings to accelerate the financing of women-led startups
00:41And to urge VC funds to commit to more gender equality at all levels
00:48So in 2021, we hit a five-year low of less than 2% of venture capital funding
00:57Going to all women founding teams in the US
01:01Only 14% of the new global unicorns were founded or co-founded by women
01:08And only 1 in 26 women led unicorns in France
01:14So inequality is even more pronounced when founders come from diverse backgrounds
01:20Despite this, the number of women entrepreneurs continue to grow
01:25So it's up to the venture capital industry to act
01:29And the tech ecosystem to promote underrepresented female founders
01:35So that's why we want to make things happen
01:38By encouraging VCs to invest in startups founded by women
01:44So ladies and gentlemen, we are very excited to have you all here in this room
01:48But also all of you watching us remotely behind your screens
01:52From all over the world for this great ceremony
01:55And to begin, I have the great pleasure to welcome on this stage
02:00Julie Rante, Managing Director of Viva Technology
02:03And Caroline Ramad, the founder and CEO of 50 in Tech
02:07Please welcome them
02:18Hello ladies
02:19Good morning everyone
02:21It's great to have you
02:24Thanks a lot Tasha
02:25And thanks a lot everyone for being here today
02:28For the Female Founder Challenge
02:31It's one topic that matters a lot to us at Viva Tech
02:36When we created Viva Tech at the beginning
02:38And when we were looking at all the speakers that we could invite
02:41We were really shocked by the very low numbers of women entrepreneurs
02:49And we really wanted to put on stage role models to put more women
02:54And we were like looking at them
02:56But we don't have enough
02:58So that's why we decided to implement a quota of 40% of women on stage
03:05To promote role models in tech
03:07That's also why we've decided on the Saturday
03:11Which is our general public day
03:13When we welcome families, young people, students
03:16You're going to see tomorrow
03:17We've decided to invite 3,000 young girls
03:21Coming from high schools, coming from colleges
03:25To participate to Viva Tech
03:27And to be able to meet with women working in digital
03:32To be able to discover the different opportunities that digital could offer
03:38And to be trained and coached by women entrepreneurs
03:42We're going to do that tomorrow
03:43And also the third action
03:45The third major action on that
03:47That we've decided to take
03:49To promote women in tech
03:52Was to launch with 50 in tech
03:55The female founder challenge
03:56We really wanted to move the lines
03:59To give the women more opportunities
04:02And also to make sure that they could access to funding
04:06Because that's good to create a startup
04:08To have the energy, the envy
04:10But that's also very important
04:12To be able to grow your startup
04:15And to have ambition
04:17And to break all the barriers
04:19That could happen on the way
04:21And that's why the connection with VCs was essential to us
04:25And I'm sure Caroline, you shared this opinion
04:28Yeah, totally
04:29So we are very proud at 50 in tech
04:31To support these challenges for years now
04:33So that's incredible
04:35To showcase female entrepreneurs across the world
04:39And to say that they can access to funds
04:43At 50 in tech
04:44We want to reach 50% of women in tech
04:46By 2050
04:48A part is giving access to tech talent across Europe
04:53And we keep that action
04:54To show that we have amazing women entrepreneurs
04:59In deep tech, in in social tech, in fintech
05:01That are raising money now
05:04And they need to access to capital
05:06Why?
05:07Because only 2% of the capital risk
05:09Goes to female entrepreneurs now
05:11And if you are a woman entrepreneur
05:13And perhaps you are black
05:15I won't give you the number
05:17So that's terrible
05:19After the pandemic
05:20We have less money
05:22Now we have the recession
05:23So it's time to hack
05:25And the message that we have at 15 in tech
05:27Is to say it's great to support them
05:29To give them visibility
05:30But investors
05:32This is here
05:33It's not time to support
05:35And give only visibility
05:36It's time to give money
05:38So show them the money
05:40And we're going to hear them
05:42They are crazy
05:43It's clear, no?
05:45Show them the money, please
05:46Thank you
05:48Thank you, Julie
05:48Thank you, Caroline
05:49So we will move on
05:51In our ceremony
05:52After this video
05:54Thank you
05:55Thanks
05:57Thank you
05:58Thank you
05:58Thank you
16:24not complying with AML
16:25is severely punished
16:27with penalties reaching several
16:29hundred million per a single fine
16:31in a nutshell
16:3330 years of regulation
16:35billions of spends
16:37and the system is still not
16:39working
16:40why is that?
16:42because there is a wider gap
16:45between what regulation commands
16:48what internal rules
16:49recommend and what happens
16:51in the real life within tools
16:53processes and data
16:56this is why
16:57I created AML Factory
16:59after 14 years as an AML expert
17:01AML Factory
17:03is the first end-to-end platform
17:05which allows to
17:06manage all AML applicable obligations
17:09to deploy
17:10to automate their deployments
17:13in the operational chain
17:14and we check that the whole process
17:16and the whole program is in line
17:18and compliance with the regulator's
17:20expectations
17:22rewards
17:23for our clients
17:2540% of cost saving
17:28in an average
17:28it's a time processing
17:30divided by 10
17:31and the risk of sanction
17:33is equal at 0
17:35AML is now
17:36nearly fun
17:37simple
17:38but most of all
17:40it's a no-brainer
17:40on our side
17:42after 18 months
17:43of commercialization
17:45AML Factory
17:46is about to turn
17:47profitable in France
17:48so now it's time
17:50to think bigger
17:51and to target Europe
17:53this is why
17:54we opened
17:543 million rounds
17:55to become the
17:56AML Rectech leader
17:57in Europe
17:58and later
17:59worldwide
18:01together
18:01we can build
18:03a better world
18:03so let's talk about it
18:05thank you
18:07thank you
18:08Charlotte Godin
18:08stay with us
18:09we have a couple of questions
18:11so we have a few minutes
18:12for a quick question
18:14from members of the jury
18:15thank you
18:16just a question
18:17on your business model
18:18like you charge
18:19per number of files
18:22you look at
18:23by volume
18:23or yearly subscription
18:25it's a subscription
18:27monthly one
18:28which is paid yearly
18:30because it's easier
18:31for me to follow it
18:32and there's little
18:35elements on volumetry
18:36in case there is
18:37huge volume
18:37of data to be traded
18:40thank you
18:41thanks a lot
18:42Charlotte
18:42it's very exciting
18:43are they for your
18:44European deployment
18:45are they countries
18:46specifically that you
18:47think you will go first
18:48or
18:49I think we will target
18:51first of all Malta
18:52because if the
18:54regulator is sanctioning
18:55a lot
18:55and also Italy
18:57Spain
18:57and Luxembourg
19:00and maybe Ireland too
19:02but it will be
19:03declared
19:04thank you
19:05any other question there
19:07yeah
19:07can you just expand
19:09a little bit on your
19:09clients
19:10you're targeting
19:11a right range
19:12but more specifically
19:14companies
19:14or financial companies
19:16as of today
19:17we have mainly
19:18financial companies
19:19crypto asset provider
19:21payment
19:22e-money
19:23investors
19:24investment companies
19:26and asset managers
19:26we have also
19:28a non-financial one
19:29but the financial sector
19:31is more interested
19:32because it's sanctioned
19:33which is not the case
19:34of the other ones
19:35so
19:35laser
19:37all right
19:38we're good
19:40fantastic
19:41thank you
19:41Charlotte Goddard
19:42AML factory
19:44brilliant
19:45okay
19:46so now
19:47let's welcome
19:48our next startup
19:50we have
19:51Sushma Shankar
19:52of Deep Planet
19:53please
20:09on the V
20:10on the V
20:10right here
20:11there you go
20:12over to you
20:13Sushma
20:14hi everyone
20:15I'm Sushma
20:16the co-founder
20:17and CEO
20:18of Deep Planet
20:19we're providing
20:20the wine industry
20:21with confidence
20:22for their decision making
20:25four years ago
20:26my co-founders
20:27and I
20:27started talking
20:28to a large winemaker
20:29about how their data
20:31wasn't helping them
20:32reduce costs
20:34or improve production
20:35and they were doing
20:37all this
20:37with spreadsheets
20:39and then
20:40there was one
20:41emergency
20:42of the 450 billion
20:45dollar wine industry
20:4690 billion
20:47was being lost
20:48due to extreme
20:49temperature
20:50weather
20:51frost
20:52and heat
20:54and it's getting worse
20:56with over 80%
20:58of the vineyards
20:59globally
20:59to be lost
21:00in the next
21:0130 years
21:02if nothing is done
21:04to mitigate
21:04the impact
21:05of climate change
21:07as the industry
21:08builds resilience
21:09to this
21:10better decision making
21:12is key
21:13to the sustainability
21:14of the industry
21:15and this
21:16is why
21:17we launched
21:18our first product
21:19wine signal
21:20which uses
21:21satellite imagery
21:23data from ground
21:24sensors
21:24machine learning
21:26and a rich data set
21:28of over 50,000 hectares
21:30to help winemakers
21:32and growers
21:33and provide practical
21:35insights
21:36at 90% accuracy
21:40our competition
21:41is really
21:42spreadsheets
21:43we've seen
21:44other companies
21:45building solutions
21:46across other crops
21:47but they fall short
21:48to deliver value
21:49with wine signal
21:51we've delivered
21:52over 3 million
21:53in savings
21:54across a thousand hectares
21:55site
21:56in harvest efficiency
21:58as well as
21:59improving
22:00the quality of wine
22:01by 50 cents
22:02up to $20
22:03per bottle
22:05we've generated
22:06over 500,000 euros
22:08in annual
22:09recovering revenue
22:10and with a 40%
22:12month-on-month growth
22:14as well as
22:1660 customers
22:18including premium
22:19producers
22:20such as
22:21Bernard Margret
22:21as well as
22:23large winemakers
22:24such as
22:25Pernod Ricard
22:25and 200 other growers
22:27across US
22:28France
22:29and Australia
22:31and we did
22:32all this
22:33with a team
22:34of 13
22:35with three
22:36co-founders
22:37from Oxford
22:38my background
22:39has been
22:39in engineering
22:40and building
22:41large-scale systems
22:42and deploying it
22:43to millions
22:43of users
22:44my co-founder
22:46and CTO
22:47another female
22:48has a PhD
22:50in AI
22:51and a leader
22:52in computer vision
22:53and my third
22:54co-founder
22:55and CEO
22:55has grown up
22:56in the wine industry
22:59and so
23:02all of us
23:03together
23:03raised over
23:05a million euros
23:06in pre-seed funding
23:07and grants
23:08and we just
23:09shipped WineSignal
23:10last year
23:12and so
23:13what's next?
23:14We realised
23:15that the
23:16tools that we're building
23:21That's
23:21pretty much
23:21the time we have
23:22so Sushma
23:23no no stay here
23:24stay here
23:24we're not done
23:25thank you
23:25you can applaud her
23:26thank you
23:27thank you
23:27I hope
23:29jury members
23:29have questions
23:30for you
23:30so they can
23:31expand a little
23:31bit more
23:32thank you so much
23:33my question is
23:35which geographies
23:36do you address
23:37today with your
23:38solution
23:38and what do you
23:39need to address
23:40a new geography
23:42sure
23:42so the three
23:43areas that we're
23:44looking at now
23:45is in France
23:46in the US
23:47and in Australia
23:48and for new
23:49geographies
23:50essentially
23:50we take the same
23:51technology
23:51and the same
23:52models that we've
23:52built
23:53deploy it to new
23:54areas
23:54by collecting
23:55ground data
23:56from there
23:56adapting the
23:57models
23:58and validating
24:00it on the ground
24:01before we deploy
24:01commercially there
24:03any other
24:04questions from
24:05members with the
24:05jury
24:05yeah
24:06you mentioned
24:07everyone's
24:08typically using
24:08spreadsheets
24:09what's the
24:10biggest barrier
24:11to adoption
24:11for technology
24:12in this industry
24:14so
24:15what
24:16the main thing
24:17is exactly
24:18they're using
24:18spreadsheets
24:19I think
24:19one of the biggest
24:20barriers
24:20is the farmers
24:21have seen
24:22a number of
24:22technologies
24:23so far
24:23and haven't
24:25seen value
24:26out of it
24:26so adoption
24:28is growing
24:29and you know
24:30unfortunately
24:30thanks to
24:31climate change
24:31farmers are
24:32realizing that
24:33what's been
24:33done before
24:34through generations
24:35is not working
24:36anymore
24:36and they need
24:37to adopt
24:37new technologies
24:38to do that
24:40one more
24:41question
24:42yeah
24:42congrats
24:43Sushma
24:43on the great
24:43progress
24:44I'd love to
24:44understand better
24:45the insights
24:46that you give
24:47to your clients
24:48and what actions
24:49they take
24:49as a result
24:50of your insights
24:51of course
24:51yeah
24:52so some of the
24:55insights has been
24:55how much yield
24:56will they produce
24:57what is the quality
24:58of the sugar
24:59or the maturity
25:00of the crop
25:00and when is the
25:01right time to harvest
25:02as well as looking
25:03at other impact areas
25:04looking at water
25:05irrigation
25:06as well as disease
25:07impact
25:07and nutrition
25:09so some of the
25:10actions that we've
25:11had case studies on
25:12is improving
25:13harvest efficiency
25:14by understanding
25:15how many trucks
25:15to send
25:16where to send it
25:17when to harvest
25:18and get the right
25:18quality
25:19or the right
25:20consistency of grapes
25:21out to get the
25:22right quality
25:23of wine
25:24eventually
25:26fantastic
25:26thank you
25:27members of the jury
25:28Sushma Shankar
25:29Deep Planet
25:30thank you very much
25:33thank you
25:34thank you for your
25:35encouragement
25:35so now
25:36we welcome
25:37on stage
25:38Liliala Schwarzman
25:40of Mika AI
25:41Medical
25:42please
25:42join us
25:58hello
25:59can you come
26:00forward here
26:00right here
26:01right over to you
26:02Lilia
26:04you can go
26:05analyzing mammography
26:07images correctly
26:08is the most
26:09crucial moment
26:10in early detection
26:11of the breast cancer
26:13the physician
26:14who is responsible
26:15for that
26:16is the radiologist
26:18who has to read
26:19over 800 images
26:21per day
26:22relying only on
26:23the technology
26:24of the naked eye
26:26radiologists are
26:27overwhelmed
26:28overworked
26:29and because of that
26:30at risk of
26:31oversight
26:32I'm Lilia Schwarzman
26:34when I founded
26:35Mika AI Medical
26:36it was important
26:37for me
26:37and for my partners
26:38to assist radiologists
26:40so they
26:41could save
26:42more lives
26:43we developed
26:45an amazing
26:45cutting-edge
26:46AI technology
26:47platform
26:48that
26:49one
26:50highlights
26:51suspicious
26:51findings
26:52two
26:53detect any
26:54changes
26:55by comparing
26:55images
26:56from different
26:57years
26:57three
26:58provide
26:59clear
27:00mammogram
27:01for women
27:02with dense
27:02breast tissue
27:03not many
27:05people are aware
27:05but more than
27:0740%
27:08of all women
27:09have dense
27:10breast tissue
27:11for them
27:12mammography testing
27:13is unsafe
27:15reading their mammograms
27:16is like driving
27:17in extremely
27:18heavy fog
27:19from day one
27:21of creating
27:22this technological
27:23solution
27:24to a very
27:25human problem
27:26we join forces
27:27with SHIBA
27:28one of the
27:29top 10
27:30hospitals
27:31all over the world
27:32this
27:34provide us
27:34the advantage
27:35of collecting
27:36enormous amount
27:37of unique data
27:38relying on knowledge
27:40and experience
27:40of the best
27:41physicians
27:42this took
27:43our algorithms
27:44to a whole new
27:45level
27:45and
27:46defined our
27:47product market
27:48fit
27:48today
27:49our
27:50regulated
27:50validated
27:51and patent
27:53and technology
27:54is an internal
27:55part of
27:56SHIBA's
27:56radiology's
27:57daily workflow
27:58we're implementing
27:59process in
28:00tumor hospitals
28:01and the results
28:02are amazing
28:03up to
28:0490%
28:06increase
28:07of accuracy
28:08and
28:0935%
28:11decrease
28:11of
28:12unnecessary
28:13painful
28:14biopsies
28:15creating
28:17this
28:18life-saving
28:18platform
28:19is an
28:20important
28:20mission
28:21for myself
28:22and my
28:22co-founders
28:23all of us
28:25serial
28:25successful
28:26entrepreneurs
28:26at the heart
28:28of Mikai
28:29vast experience
28:30multi-talent
28:31and diverse
28:32team
28:34I am proud
28:35of the platform
28:36we created
28:37we support our
28:38medical staff
28:39we reduce
28:41unnecessary painful
28:42procedures
28:43we decrease
28:44lawsuits
28:45and oversights
28:46we save money
28:47and
28:48save
28:50lives
28:52I invite
28:53all of you
28:53visionary
28:54investors
28:55join us
28:56in this
28:57important
28:57journey
28:58in helping
28:59radiologists
29:00help women
29:01all over
29:02the world
29:03thank you
29:04thank you
29:05Lilia
29:06thank you
29:06fantastic
29:07I'm sure
29:08all your members
29:08have questions
29:09Didier
29:09thank you very much
29:11for this great
29:12presentation
29:12can you tell us
29:14a bit more
29:14about who are
29:15your clients
29:16and what is
29:16the business
29:17model
29:17our clients
29:19are hospitals
29:21and medical
29:21centers
29:22while the main
29:24users
29:24radiologists
29:25oncologists
29:26and head of
29:27radiologists
29:27divisions
29:28our business
29:29model is
29:30B2B
29:30pay per use
29:32or monthly
29:34license fee
29:35relying on
29:36existing
29:37CPT codes
29:40thank you
29:42thank you
29:43in machine
29:46learning
29:46there is
29:47learning
29:47how do you
29:48learn
29:49which
29:49data
29:49set
29:50are you
29:50using
29:50and how
29:51do you
29:51get a
29:51feedback
29:52loop
29:52on the
29:53quality
29:53of your
29:54algorithm
29:54ok
29:55so one
29:56of our
29:56advantages
29:57is that
29:57from the
29:58early
29:58beginning
29:59we start
29:59to work
30:00with
30:00Shiba
30:00hospitals
30:01and we
30:02got a
30:03lot
30:03of
30:03data
30:03the
30:04first
30:04research
30:05was
30:05done
30:06on
30:06data
30:06sets
30:07which
30:07was
30:07divided
30:08for
30:0850%
30:09malignant
30:10and
30:1050%
30:11benign
30:13mammograms
30:14for
30:14dense
30:14breast
30:15the
30:16images
30:17and
30:17the
30:17masses
30:18were
30:18marked
30:19by
30:19professor
30:20Mires
30:21Kler
30:21in order
30:22to
30:23see
30:23the
30:24contour
30:24of
30:25the
30:25mass
30:25we
30:26had
30:26proven
30:27biopsies
30:28results
30:28for each
30:29of them
30:29and
30:30also
30:31by
30:31protocol
30:31so
30:32then
30:33we
30:33built
30:33our
30:34initial
30:34algorithms
30:35of course
30:36we
30:36divided
30:36it
30:36to
30:37test
30:37and
30:37train
30:37and
30:38then
30:39we
30:39started
30:39to
30:39use
30:40it
30:40in
30:40the
30:40hospital
30:41we
30:41got
30:41feedback
30:42also
30:42on
30:43the
30:43results
30:43and
30:43also
30:44about
30:44the
30:44platform
30:45and
30:45which
30:45features
30:46and
30:46modules
30:46we
30:47should
30:47add
30:47or
30:48change
30:48and
30:49then
30:50after
30:50the
30:51POC
30:51we
30:52started
30:52to
30:52work
30:52with
30:53it
30:53super
30:54clear
30:54thank
30:55you
30:55thank
30:55you
30:56we're
30:57good
30:57yeah
30:57that's
30:59good
30:59okay
30:59Lilia
31:00Schwarzman
31:00Mika
31:01AI
31:02thank
31:02you
31:02so
31:02much
31:03thank
31:04you
31:04well
31:04done
31:04all right
31:05next
31:06on stage
31:06here
31:07we
31:07welcome
31:08Vanessa
31:08Kwaner
31:09from
31:09Resort
31:10Tex
31:11please
31:12welcome
31:12her
31:29are you
31:32clothes
31:33easy
31:33to
31:33recycle
31:34I'm
31:36Vanessa
31:36Cunard
31:36co-founder
31:37of
31:37Resort
31:38Tex
31:38Resort
31:39Tex
31:40makes
31:40garment
31:41recycling
31:41possible
31:42at
31:43industrial
31:43scale
31:44and
31:45high
31:45quality
31:47garments
31:48are
31:48difficult
31:49to
31:49recycle
31:49because
31:50garments
31:51are
31:51difficult
31:52to
31:52disassemble
31:52there
31:54is
31:54two
31:55solutions
31:55manual
31:56disassembly
31:57but
31:58it's
31:58labor
31:59intensive
31:59it
32:00takes
32:01times
32:01and
32:02it's
32:02not
32:02easy
32:03to
32:03scale
32:03up
32:04then
32:05you
32:05have
32:05also
32:06another
32:06solution
32:07that
32:08is
32:08shredding
32:09or
32:10mechanical
32:11disassembly
32:12and
32:12that
32:13harms
32:13the
32:13textile
32:14and
32:14results
32:15in
32:15down
32:15cycling
32:16so
32:17it's
32:18not
32:18surprised
32:18that
32:19less
32:19than
32:201%
32:21of
32:21garments
32:21are
32:22effectively
32:22recycled
32:24500
32:25billion
32:26worth
32:27of
32:27material
32:28is
32:29lost
32:30every
32:30year
32:31fashion
32:33represents
32:3410%
32:34of
32:35CO2
32:35emissions
32:37and
32:38this
32:39already
32:39starts
32:40with
32:40the
32:41unsold
32:41inventory
32:42that
32:42represents
32:43about
32:4320
32:44to
32:4430%
32:45of
32:46the
32:46production
32:46for
32:48example
32:48in
32:492019
32:50H&M
32:51struggled
32:52with
32:52a stack
32:53of
32:53inventory
32:54worth
32:554.5
32:56billion
33:00military
33:01Sortex
33:01a globally
33:03patented
33:04solution
33:04tested
33:05by more
33:06than
33:0630
33:06brands
33:07such
33:07as
33:08H&M
33:08Desigual
33:09Decathlon
33:11our solution
33:13starts
33:13with
33:14smart
33:14stitch
33:15that's
33:16a thread
33:16heat
33:17dissolvable
33:18at
33:19temperature
33:19of
33:20150
33:20170
33:22and
33:23200
33:23degrees
33:23and
33:24it
33:24makes
33:25the
33:25seam
33:25disappear
33:27you
33:27can
33:28still
33:28wash
33:29dry
33:30iron
33:31your
33:31clothes
33:31as
33:32per
33:32normal
33:32use
33:33and
33:34there
33:34is
33:34no
33:35constraint
33:36on
33:37design
33:37nor
33:38manufacturing
33:41the
33:41other part
33:42of the
33:42solution
33:43is
33:43then
33:43the
33:44disassembly
33:44with
33:45our
33:45smart
33:46disassembly
33:46system
33:47which
33:48is
33:48an
33:48oven
33:48that
33:49can
33:49treat
33:50garments
33:50five
33:51times
33:51faster
33:51than
33:52manual
33:52disassembly
33:53we can
33:54treat
33:54up to
33:5510
33:55tons
33:56of
33:57garments
33:57per
33:58day
33:58there
33:59is no
34:00risk
34:00of
34:00damaging
34:00the
34:01fabric
34:01thanks
34:02to
34:02the
34:02low
34:03oxygen
34:03chamber
34:04and
34:05the
34:05closed
34:05loop
34:06heating
34:06system
34:07ensures
34:08low
34:08energy
34:09consumption
34:11our
34:12ambition
34:13is
34:13to
34:14replace
34:14the
34:15current
34:16standard
34:16that
34:17is
34:17the
34:17polyester
34:18thread
34:18and
34:20the
34:20benefit
34:20for
34:20the
34:21brands
34:21is
34:22a
34:22small
34:22change
34:23with
34:23a
34:23big
34:24impact
34:24we
34:25will
34:26reduce
34:26the
34:26cost
34:26of
34:27the
34:27unsold
34:27inventory
34:28and
34:29we
34:29will
34:29address
34:30the
34:30EU
34:30environmental
34:31policies
34:32with
34:3350%
34:34less
34:34CO2
34:34emissions
34:3580%
34:36less
34:37waste
34:37and
34:3890%
34:38less
34:39water
34:40Vanessa
34:42time's
34:42up
34:42maybe
34:43you can
34:43continue
34:43with
34:44the
34:44questions
34:44of
34:44members
34:45of
34:45the
34:45juries
34:45so
34:46there
34:46you
34:46go
34:46we
34:47have
34:47a
34:47question
34:48thank
34:48you
34:49hi
34:49Vanessa
34:49thanks
34:50for
34:50a
34:50great
34:50pitch
34:50I'd
34:51love
34:51to
34:51understand
34:52better
34:52who
34:52you
34:52sell
34:53to
34:53is
34:53it
34:53the
34:53case
34:53that
34:54the
34:55smart
34:55stitch
34:56you
34:56sell
34:56to
34:56the
34:56brands
34:57and
34:57the
34:57oven
34:58you
34:58sell
34:58to
34:58the
34:58recyclers
34:59if
34:59you
34:59could
34:59talk
34:59a
34:59little
35:00bit
35:00about
35:00that
35:00yeah
35:01you
35:09rent
35:09it
35:10to
35:10the
35:10recyclers
35:12other
35:12questions
35:16I'd
35:17like
35:17to
35:17ask
35:17after
35:18the
35:18unsold
35:18inventory
35:19is
35:19disassembled
35:20where
35:21does
35:21that
35:21go
35:21and
35:22how
35:22does
35:22the
35:22brand
35:23use
35:23it
35:23again
35:25so
35:26after
35:26the
35:26clothes
35:27are
35:27disassembled
35:27who
35:28does
35:28it
35:28go
35:29to
35:29how
35:29does
35:29the
35:29brand
35:30reuse
35:30it
35:30again
35:31yeah
35:31so
35:31you
35:32have
35:32different
35:33possibilities
35:33so
35:34once
35:34it
35:34disassembled
35:35you
35:35have
35:36two
35:36possibilities
35:36one
35:37is
35:38to
35:38reuse
35:38the
35:39fabric
35:39and
35:39redesign
35:40the
35:40other
35:41one
35:41is
35:41to
35:41use
35:41the
35:42fabric
35:42and
35:43to
35:43again
35:44use
35:44the
35:45fiber
35:46and
35:46make
35:46new
35:47thread
35:47again
35:47so
35:48it
35:48will
35:49also
35:49the
35:49process
35:49will
35:50depend
35:50on
35:50the
35:50type
35:51of
35:51material
35:51if
35:51it's
35:51cotton
35:52polyester
35:52so
35:53there
35:53is
35:53different
35:53ways
35:54of
35:54getting
35:55the
35:55new
35:56fiber
35:57and
35:57the
35:57new
35:58thread
36:00fantastic
36:01thank you
36:02Vanessa
36:03from
36:04Resortex
36:05thank you
36:05very much
36:06thank you
36:07brilliant
36:07all right
36:09so
36:09after the
36:11questions
36:11right
36:11so now
36:12we have
36:12another
36:13candidate
36:13coming on
36:14stage
36:14here
36:15please
36:15let's
36:16welcome
36:16Bola
36:17Bardet
36:18of
36:18Susu
36:36hi Bola
36:38over to
36:39you
36:43I'm the
36:44founder
36:44and CEO
36:45of
36:45Susu
36:46I lost
36:48my father
36:49in
36:50December
36:502017
36:51he died
36:53from
36:54a very poorly
36:55managed
36:56hypertension
36:57at the
36:59time
37:00he didn't
37:00have an
37:01insurance
37:01to cover
37:02his medical
37:03condition
37:04and above
37:06all
37:06he had
37:07absolutely
37:08no support
37:08and no
37:10information
37:10on how
37:11to manage
37:12his condition
37:13like my
37:15father
37:15there are
37:16millions
37:16of
37:17African
37:18persons
37:18in
37:19vulnerable
37:19condition
37:20who have
37:21absolutely
37:22no access
37:23to quality
37:23care
37:24the numbers
37:25are quite
37:26alarming
37:261.5
37:29billion
37:29that's the
37:30population
37:30of African
37:31unfortunately
37:33only 3%
37:34of them
37:35have access
37:36to an
37:37insurance
37:37and
37:38patients
37:39with
37:39existing
37:40conditions
37:40like
37:41diabetes
37:41hypertension
37:42have
37:44an even
37:45more
37:45difficult
37:45access
37:46to
37:46healthcare
37:47and
37:48that's
37:49why
37:49we
37:49created
37:49Susu
37:50Susu
37:51offers
37:51care
37:52bundle
37:52service
37:53to
37:54patients
37:54with
37:55vulnerable
37:55conditions
37:56like
37:57diabetes
37:57hypertension
37:58pregnant
38:00women
38:00that
38:01provide
38:02them
38:02with
38:03curative
38:04and
38:04preventative
38:05medical
38:06services
38:07these
38:09services
38:09ensure
38:11them
38:11optimal
38:12monitoring
38:13of their
38:14condition
38:14our
38:16service
38:16is built
38:17around
38:174K
38:18pillars
38:18first of
38:19all
38:19the
38:19care
38:20bundles
38:20it's a
38:21medical
38:22calendar
38:22built
38:23around
38:24medical
38:25consultations
38:26there's
38:27visits
38:28at home
38:28checkups
38:30first of
38:31all
38:31they
38:31also
38:32have
38:32access
38:32to
38:33a
38:33call
38:33center
38:34to
38:34answer
38:35all
38:35their
38:35questions
38:36and
38:37finally
38:37they
38:38receive
38:38advices
38:39on
38:40how
38:40to
38:40manage
38:40their
38:41condition
38:41second
38:42the
38:43financing
38:43which
38:44is
38:44very
38:45important
38:45to
38:46remove
38:46the
38:46financial
38:47barrier
38:47the
38:48beneficiaries
38:49of
38:49our
38:50service
38:50can
38:51have
38:51the
38:51service
38:52co-financed
38:53with
38:53some
38:54relatives
38:55for
38:55example
38:56their
38:56family
38:56members
38:57or
38:57members
38:58from
38:58the
38:58African
38:59diaspora
39:00who
39:00are
39:00used
39:01to
39:01send
39:01money
39:01back
39:02home
39:02to
39:02their
39:03loved
39:03ones
39:03third
39:04our
39:05digital
39:06platform
39:06which
39:07is
39:07the
39:07core
39:08of
39:08our
39:08DNA
39:09connects
39:10the
39:10beneficiaries
39:11their
39:12families
39:12and
39:13the
39:13medical
39:13professionals
39:14and
39:15last
39:15the
39:16medical
39:16network
39:17that
39:18is
39:18carefully
39:19selected
39:19by
39:20our
39:20team
39:20in
39:21order
39:21to
39:21operate
39:22the
39:22service
39:23to
39:23the
39:23beneficiaries
39:23we
39:25are
39:25present
39:25in
39:25four
39:25countries
39:26today
39:26France
39:27Cote
39:28D'Ivoire
39:28Cameroon
39:29and
39:29Senegal
39:30we
39:30have
39:31a
39:31team
39:31of
39:3222
39:32persons
39:33Laurent
39:34our
39:34CTO
39:34is
39:35graduated
39:35from
39:36Polytechnic
39:36here
39:37and
39:37most
39:38of
39:38all
39:38we
39:38have
39:395,000
39:40clients
39:40and
39:41we
39:41had
39:42a
39:42400%
39:43growth
39:43in
39:442021
39:44we
39:45are
39:45raising
39:453
39:46million
39:46to
39:47develop
39:48our
39:48acquisition
39:49strategy
39:49in
39:50Africa
39:50well
39:50done
39:50I
39:51think
39:52our
39:52jury
39:52members
39:53have
39:53some
39:53questions
39:53for
39:54you
39:54you
39:54can
39:54expand
39:54a
39:54little
39:55bit
39:55more
39:55jury
39:57members
39:59thank you
39:59very much
40:00for the
40:00pitch
40:00do you
40:02work with
40:02insurance
40:03companies
40:03to distribute
40:04your solution
40:05yes
40:06so we
40:06are working
40:07with major
40:08insurance
40:08companies
40:08like
40:09Allianz
40:10Sanlam
40:10which are
40:11the leaders
40:11in Africa
40:12and we
40:13also
40:13have
40:14distribution
40:14partnership
40:15signed
40:16before
40:16range
40:17okay
40:19you
40:20said
40:20you
40:20are
40:21present
40:21in
40:21already
40:22four
40:22countries
40:22even
40:23though
40:23you
40:23are
40:23quite
40:24starting
40:24so
40:25what
40:26is
40:26the
40:26plan
40:26to
40:26expand
40:27and
40:27how
40:27fast
40:28can
40:28you
40:28expand
40:29okay
40:30so
40:31today
40:31it
40:32was
40:32very
40:33important
40:33for
40:33us
40:34at
40:34the
40:34beginning
40:34to
40:35demonstrate
40:35that
40:36our
40:36model
40:36is
40:37scalable
40:37so
40:38it
40:38was
40:38important
40:39to
40:39be
40:39in
40:39more
40:40than
40:40one
40:40country
40:40now
40:41for
40:42the
40:42next
40:4234
40:4324
40:43years
40:44we
40:44are
40:44going
40:44to
40:44focus
40:45on
40:45those
40:45countries
40:46to
40:46deepen
40:47our
40:47market
40:47before
40:48we
40:48develop
40:48in
40:49other
40:49markets
40:50all
40:51right
40:51thank you
40:52Bola
40:53Bardet
40:53from
40:53Susu
40:54our
40:54last
40:55finalist
40:56thank you
40:56thank you
40:57very much
40:57all right
40:58so
40:58those
40:59were
40:59brilliant
41:00pitches
41:01we
41:01impressed
41:02by the
41:02performance
41:02and I
41:03think
41:03the jury
41:03will
41:04have
41:04a
41:04very
41:04hard
41:04time
41:05to
41:05decide
41:06who
41:06is
41:07going
41:07to
41:07win
41:08this
41:08female
41:08founders
41:09challenge
41:09members
41:09of the
41:10jury
41:10invite
41:10you
41:11to
41:11go
41:11backstage
41:11to
41:12deliberate
41:13and
41:14now
41:14in
41:14the
41:14meantime
41:15ladies
41:16and
41:16gentlemen
41:16while
41:17the
41:17juries
41:17join
41:18the
41:18backstage
41:18for
41:19the
41:19deliberation
41:20as you
41:21can see
41:21them
41:21leave
41:21the
41:22set
41:22we
41:23are
41:23today
41:23very
41:24lucky
41:24to
41:25welcome
41:25last
41:26year's
41:26winner
41:27of the
41:27female
41:27founders
41:28challenge
41:28yes
41:29she is
41:29here
41:30with
41:30us
41:30and
41:30she
41:31will
41:31be
41:31joining
41:31us
41:31in
41:32a
41:32couple
41:32of
41:32seconds
41:34and
41:35the
41:36last
41:37year
41:37so
41:37clarice
41:49thank you
41:50gentlemen
41:50so
41:51clarice
41:51i was
41:52saying
41:52is
41:53the
41:53co-founder
41:53and
41:54ceo
41:54of
41:54dfns
41:55a
41:56startup
41:56specialized
41:56in
41:57cyber
41:57security
41:58cryptocurrency
41:59and
42:00it
42:01is
42:01an
42:01api
42:02for
42:02digital
42:03asset
42:03security
42:04right
42:04so
42:04dfns
42:05has
42:06raised
42:06a
42:06total
42:06of
42:0712.3
42:08million
42:08dollars
42:09over
42:09two
42:09rounds
42:10amazing
42:11yes
42:12it's
42:12exciting
42:12thank you
42:13very much
42:14for
42:14insiders
42:15defense
42:16all right
42:17okay
42:18because
42:19i'm
42:19discovering
42:20you
42:20last
42:21year
42:21i didn't
42:21do
42:22the
42:22female
42:22founders
42:23challenge
42:23so
42:23clarice
42:24this
42:24is
42:24impressive
42:25probably
42:25this
42:26is
42:27reminding
42:28you have
42:28a lot
42:28of
42:28things
42:29here
42:29i was
42:30seeing
42:30the
42:30girls
42:30in
42:31the
42:31backstage
42:31and
42:31i
42:32prefer
42:32very
42:33much
42:33being
42:33in
42:33my
42:33position
42:34this
42:34year
42:34than
42:34theirs
42:35last
42:35year
42:35a lot
42:36of
42:36stress
42:36but
42:37yeah
42:37no
42:37no
42:37it
42:37was
42:38an
42:38amazing
42:38experience
42:39i was
42:40telling
42:40them
42:40that
42:41winning
42:42vivatech
42:43basically
42:44last
42:44a year
42:45you have
42:45a lot
42:46of
42:47follow-ups
42:48from
42:48investors
42:49you have
42:50great
42:50mentors
42:51that
42:51enable you
42:52to open
42:52doors
42:53i did
42:55amazing
42:55articles
42:56with some
42:56of them
42:57it was
42:57really
42:57i didn't
42:59expect
42:59as much
43:00coverage
43:01as
43:01it was
43:02for the
43:02past
43:03year
43:03this
43:03was
43:03brilliant
43:04so
43:04my
43:05question
43:05was
43:05what
43:06did
43:06vivatech
43:07bring
43:07you
43:07i think
43:08lots
43:08of
43:08things
43:09then
43:09absolutely
43:10it's always
43:10hard to
43:11say
43:11you know
43:11between
43:11the hard
43:12work
43:12of the
43:13team
43:13between
43:14other
43:14things
43:15that
43:15we've
43:15been
43:15doing
43:16for
43:16the
43:16past
43:16year
43:17what
43:17contributed
43:18to
43:18what
43:19but
43:19definitely
43:20we won
43:21vivatech
43:21last year
43:22around the
43:22same
43:23time
43:23and we
43:24started
43:24a seed
43:24round
43:25in july
43:25and it
43:26was
43:26it was
43:26quite a
43:27successful
43:27seed round
43:28yeah
43:28now i gave
43:29the numbers
43:30right so you
43:31have raised a seed
43:31round of 12.5 million
43:33dollars so can you tell us
43:35probably a little bit more about how you did it and who are your investors
43:39sure so um i think what's important when you raising your seed round or any round
43:45really is to try to build that trust with investors you cannot get out there and in three
43:51weeks expect people to say hey i like your pitch i like your company i trust the team i'm gonna
43:55advance and so what we did and i think that's definitely an advice that i would i would give
44:00everyone was to very early on onboard all the investors on the newsletter and give them this you know
44:07feedback monthly feedback so they get to know each other so they get to know us trust us
44:14and so the day we started the seed round we were a company they were familiar with and i think
44:19that that was why white star capital which was our lead investor
44:25really in four weeks after we we started the seed round put a term sheet and they helped us build
44:33a beautiful round we have bpi friends we have con base we have
44:37hashed sysquana a bunch of international investors so yeah we're very exciting
44:44very exciting yeah fantastic so um we we hear a lot that you know there are not so many women
44:50in tech
44:50we're always trying to move into the right direction to attract more women founders and sometimes
44:57even uh even though they are trying to do something they don't put themselves forward so we don't know them
45:03and they you know what what can you tell those women right you are the proof that actually women can
45:08raise money and a lot of money
45:10so what is your advice to all those women out there who are ceos and co-founders who are launching
45:16their business what would you like to tell them
45:18i think the biggest difference between men and women in the beginning is that men day one take themselves
45:24very seriously they arrive with an idea that is some sometime genius sometime basic but they own it it's their
45:32idea they believe in it 100%
45:34women don't take themselves seriously and so the first advice i would say day one you're in charge you're in
45:42power you can do it take yourself seriously
45:44so people can trust you right and people can can can actually start you can embark them with you
45:51and i think that's the first first main difference and it goes back to education we don't have time to
45:56talk about that
45:57but then after it's it's making sure that you don't you don't put to yourself constraint that other will put
46:07you right
46:08women tend to excuse themselves then to arrive i think i'm not sure doubt a lot
46:13this this this these are things that you know when you're in in front of an investor you need to
46:18remove all that
46:19and so this is why yes there's some improvement to to be made there's some education to be made
46:25but data and investors are making more and more data driven decision show that
46:32startups that are let led by women are actually more successful than startups that are led by men
46:39so they need to empower themselves with those metrics all right i think uh if you have investors
46:44in this room the message is loud and clear all right so i would like to know on a more
46:49personal note
46:50what was the trigger for you when you say women out there they shouldn't be looking for excuses
46:56and go for it and believe in yourself for you what was the trigger was it like a natural thing
47:01when you created your business no it was not that true it's it's it's so
47:07i discovered the pain point of defense and to me it was obvious that i needed to do something about
47:12it
47:13your market opportunity was too big and and i really believe that had the right solution
47:17so that is something you know you have it you you don't have it but once you have it it's
47:22a it's a drive
47:23it's it's a it's a strength but i had to fight my my uh i would say natural uh natural
47:31um instinct to
47:33excuse myself to be to be to be also um yeah less in charge than than a man would have
47:40been right
47:40so it's it's it's constant battle it's remembering that once again you are the ceo of that company
47:48so actually going to investors is the same as going to get your clients you should not behave
47:55differently you should be still concurrent about it and so this is a yeah it's not natural it's it's
48:02not natural it's something that you learn it's it's a learning curve it's a process any any any tips
48:07for you know those out there of things that you can tell them very in a concrete way things that
48:13can
48:13help them to be in charge what can you say it's it's little by little right so i i don't
48:19know if
48:19i have i have one concrete uh tip in except that i think it's the first one take yourself seriously
48:27right so you've decided to change your life upside down for that idea because you believed in it
48:34so now there should be no one no excuse you should go and fight for it and i think it's
48:41more of this
48:42spirit you should be you should you should enable yourself with then than a practical tip um yeah
48:48and now now that you've raised a lot of money and you're growing your business how do your peers
48:54look at you i mean as a as a female founder who's successful what what what are the feedback that
49:00you
49:00get so so i have i have not that many peers woman ceo in crypto in cyber security uh there
49:10there are
49:10there are not that many of us um but but we do gather as women ceo i'm part of the
49:17female from a
49:18female fellowship also at station f and honestly it's amazing to be surrounded by so many inspiring
49:25women and when when that's that's my belief i may be a bit biased but when women are successful and
49:35in in in power and when women do things right they're unbelievable and it's true that uh uh it's
49:42um it's such uh it's such an amazing time to be in our position because we know that if you
49:51do things
49:51right people will value your work as it was not valued for the past you know 40 years recognized so
49:59it will be recognized so yeah thank you clarice thank you very much thank you so much
50:07brilliant insight and uh good luck for the future right with keep an eye on what you're doing thank
50:12you and now ladies and gentlemen i think our jury are back yes they they were they're coming they're
50:18joining us on set we're welcoming back uh francois be to say the general manager of viva technology
50:24and caroline ramad founder and CEO of 15 tech for the verdict as well as all the members of the
50:30jury
50:30joining us right now on the set with the winner for this 2022 female founders challenge will be revealed
50:40in a couple of seconds please join us
50:48yes yes of course there they are fantastic thank you thank you for joining francois and caroline just
50:56stay on the marks yeah fantastic hello everyone great so we're excited i think it's time yeah to reveal
51:05the winner of this year challenge but i just before i want to tell you that it was a very
51:13impressive
51:14competition i've been in the room with a jury of course i didn't say anything because we etc but it
51:22was
51:22till the end very very intense so it's time to reveal so i've got only two hands you need some
51:29help
51:30let me take this it's very fragile and very important be careful and the winner is
51:39bonsoir
51:42and the winner is and the winner is resortex vanessa
51:48whoo please vanessa kunaya from resortex our winner for the female founders challenge 2022 edition here at
51:58vanessa well done bravo yes you can thank you so much huge round of applause bravo vanessa
52:07yeah i'm um speechless and a very very honored to uh have been selected um well it shows uh the
52:19interest
52:19from everybody and the rays of consciousness when it comes to solutions that helps and support the
52:26environmental impact um and very very proud to be leading the way when it comes to circularity in
52:32fashion so thank you so much for the recognition um and i'm sure it is gonna really help us uh
52:39get
52:39more visibility more support to really make that difference and become the new standard in the
52:45industry thank you so much bravo bravo bravo well done vanessa and caroline
52:50so it's a surprise so let me give you that
52:53okay thank you in the mic caroline it's an nft designed by obvious that's exclusive there is only 13 in
53:02the world
53:02so wow now you have an nft and uh you will discover it by flashing it and uh with your
53:10wallet so that's that's uh
53:11congrats for everything vanessa fantastic huge round of applause thank you vanessa well done stay
53:17with us stay with us brilliant our finalists for the female founders challenge thank you to all of
53:22you congratulations and now time to welcome all our finalists and all members of the jury please join
53:28us here on stage as we say goodbye to all our viewers watching us remotely please join us here for
53:35the final picture thank you to our viewers and we carry on here on stage two please
53:43members
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