00:00Please welcome Othman Jeheb, Chief Marketing Officer, H-A-V-S.
00:06Thank you, thanks a lot, thanks a lot. Hey everyone.
00:08How are you doing?
00:09I'm fine at you.
00:10You're of course great.
00:11This is so great to unveil.
00:12You have to disco your presentation, okay?
00:14It would be easy.
00:15Pleasure.
00:16Hey everyone, I'm delighted to be here with you today.
00:19My name is Othman.
00:20I am from H-A-V-S for Human Augmented Brain System and we make Brainwaves Talk.
00:25We allow brands and organizations to measure emotion and cognitive states in real time.
00:31Why do we do so?
00:32Because you don't buy a watch.
00:35You don't buy a luxury watch.
00:37You buy the feeling of buying it.
00:40You don't buy a perfume.
00:42You buy the feeling of being remembered, basically.
00:47And basically, you don't buy a product.
00:50You buy an emotion.
00:52And if we go on the next slide, you will see that I have written this sentence.
00:58But more precisely, we don't buy a product.
01:02We buy an emotion.
01:03And what is an emotion, basically?
01:06This emotion, we are able to measure it.
01:09How?
01:10In our laboratory, we equip humans with different sensors, multi-biometric sensors.
01:16We equip them with EEG sensor, eye tracking, GRSR sensor, cardiac activity, and chest trap.
01:23Why?
01:24Because an emotion is not only a feeling.
01:26It's also a physical reaction.
01:29Last year, I was here, in this stage, unveiling H-A-V-S and its potential.
01:35In one year, what happened?
01:37In one year, we have equipped and clustered more than 2,000 brains.
01:44What does that mean?
01:46Each human coming in our laboratory has to follow one hour of neurocognitive protocol.
01:53During this one hour, they are equipped on different sensors.
01:57And at the end of this hour, our neurocognitive AI is comparing the emotion felt by the human
02:04and the emotion felt by his synthetic brain.
02:07And once the accuracy is good enough, the synthetic brain goes to the dataset to train our neurocognitive AI.
02:14So today, the same way you have LLM trained on semantic, we have created a cognitive LLM trained on real
02:24cognitive human data.
02:27And we are not measuring only emotion.
02:31We are measuring insight.
02:32Because at the end, this is exactly what customer organizations are looking for.
02:37They are not only want to know what are the emotions generated by a product, a perfume, or anything else.
02:43But what do they want to know?
02:45If, is this perfume, what is the score of desirability of this perfume?
02:50What is the level of engagement?
02:52What is the cognitive clarity of this project?
02:55What is the intention generated?
02:57And all of this can't be expressed by people, by humans.
03:02And our neuro AI is allowing brands to get access to data humans cannot express.
03:10And why it's something that brings value?
03:14Because we have built our own economy on data.
03:17But data tells you what, and emotion tells you why.
03:22So that's why, today, our core activity is the apps neuro AI.
03:29It's our neuro cognitive AI, pre-trained on more than 2,000 real human cognitive states.
03:36And we give access to this neuro AI brand in two ways.
03:42Two offers that we have.
03:44The first is it apps insights.
03:46So this is what we are unveiling today at Vivatech, which is basically a decision intelligence platform.
03:51Allowing brands to test different assets on our data sets.
03:56And get in real time an emotional report.
03:59This is what I'm going to show you just after.
04:01The second is the laboratory.
04:03Basically, we are currently working with brands willing to create their own neuro marker.
04:09So the insights that I have presented to you are insights that bring value for brands to have a better
04:14understanding on the emotional impact of their products.
04:17But we are also working with healthcare, for example, to create a neuro marker dedicated to the pain level.
04:23Tomorrow, we will be able to measure the pain level of someone that can't express himself.
04:28I'll let you imagine how game changer it could be.
04:31And we are currently working with hospitals about this.
04:34In the training purpose, we are also able to measure focus and stress.
04:39To customize the level of the training approach.
04:44And make because we cannot improve what can be measured.
04:47Today, we are able to measure what can be expressed by human for training purpose.
04:55And today, what I would like to show you is about HApps Insights.
05:01HApps Insights is the platform allowing brands to scale their consumer testing by leveraging our neurocognitive AI and our data
05:10set of 2,000 brands.
05:12So, let me switch now in my computer.
05:16And let's do a live demonstration of it.
05:19So, we are in the home.
05:21No, not this screen.
05:22The other one on the screen.
05:25I let you show the screen of my computer.
05:30Once it will appear on the screen, you will see the platform HApps Insights.
05:35HApps Insights is the first platform that measures what your audience truly feels.
05:41Can you see it in the screen, Largie?
05:42My screen?
05:44On the screen.
05:46Yep.
05:51So, here on this platform that will appear just now.
05:57You will see on this platform that we have in our data set more than 2,000 people.
06:03And if you test an asset to see what is the rendering of this asset and its emotional impact.
06:11But I think that it's quite complicated for you to imagine what I'm discussing about.
06:17While you're running.
06:27Spunker.
06:28Parable.
06:33I can't see it yet.
06:37Guys.
06:38Largie.
06:41Largie, I think that we have a problem here.
06:45Let's be frank about this.
06:47Je veux voir ça sur l'écran.
06:48Okay.
06:49So, on this platform, so you will be able, while you are resolving this, in this platform you are able
06:55to drag and drop an asset.
06:57Any kind of asset.
06:58A picture.
06:58A video.
06:59A music.
07:00Or even a website.
07:01Drag and drop it on the app's insights.
07:05And our neural AI will test these assets on our data set of more than 2,000 people.
07:12And as I said to you before, as I showed you before, we are not measuring emotion.
07:16We are measuring insights.
07:18So, for each asset, we will get an emotional report based on our seven insights that we have here.
07:25So, and on top of scoring the different insights, we are also able to visualize and predict what could be
07:36the cognitive reaction on different assets about this.
07:41So, I think that I have done my best.
07:46Pour meubler.
07:47Comment tu dis pour meubler?
07:49Tell me.
07:50I will start to dance now.
07:53It has to happen once.
07:55It happens on me.
07:56On this.
08:05Okay.
08:07So, I will try to continue to describe this on us.
08:11So, on top of unveiling the different insights why brands are interesting and are today working with us,
08:19is because it gives them access to data that they could not get access only by the declarative, basically, on
08:26this.
08:27And so, you have in the screen, so let's describe what you are seeing here, these beautiful assets.
08:31So, this is a collaboration that we have made with Energy Global in our Apps Lab approach.
08:36And basically, what we suggest to you, and some of you will come here on stage to test the experience,
08:42you will listen to music, and our neural AI will be able to measure in real time the emotions felt
08:48by this music.
08:50And on top of visualizing and measuring different emotions, you will be able to visualize it.
08:56And why we are doing so?
08:57Because we are working, for example, with Energy Global to create this experience to have a better understanding
09:03on what are the emotional and cognitive impacts of a specific asset or also a music generated by someone.
09:13So, we are working with Energy Global not only for this kind of activation, marketing activation,
09:20but also through our studies.
09:22So, for example, Energy wanted to have a better understanding on what is the engagement level between the radio and
09:30the video.
09:31So, we have done a laboratory, we have brought together more than 100 people,
09:36we have equipped them on different sensors, and our neural AI were able to get, I would say,
09:43like emotional reports on what are the level of engagement generated by the radio and the audio.
09:50And we are doing in our booth a return of experience, I would say, of Energy sharing their learning about
09:59this study.
10:03So, I think that you owe me a new presentation.
10:10Okay.
10:19My dear friends, the time has gone.
10:23I am so, so sorry.
10:25I have done everything I had to do.
10:28I came, I was on.
10:30Oh, oh yeah.
10:32So, what?
10:33We kill it, we do it again?
10:34Yeah, because we are over.
10:35So, sorry about that.
10:36Okay.
10:36So, you met the problem.
10:38But for sure we can see him after.
10:40Otman, can I have a round of applause again for this?
10:44Thank you so much.
10:44Thank you so much.
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