1 500 000 000 000 photos have been taken and saved in 2022.
If only one person would had to take all of them, he or she would have been doing that for
35 000 years.
If only one person would had to take all of them, he or she would have been doing that for
35 000 years.
Problem
However, there are still very few outstanding pictures among them.
99,9% of amateur photographs usually look like this, and the results rarely meet our ideas and creative vision.
99,9% of amateur photographs usually look like this, and the results rarely meet our ideas and creative vision.
If you wish to take professional pictures, you have to:
1
Find a perfect perspective ("right angle")
2
Arrange objects for the best composition
3
Set a mood using lighting or adjusting the exposure
4
Use colours to provoke emotions
And for those results, you will need knowledge and experience in photography.
For most people, these skills are inaccessible for various reasons:
- the price is too high, and the classic photo equipment is too bulky.
- education in photography takes much time and costs lots of money.
- a surplus of choices among post-correction apps and various image enhancers ("beautificators") doesn't develop one's creative vision and essentially enhances the quality of photos.
For most people, these skills are inaccessible for various reasons:
- the price is too high, and the classic photo equipment is too bulky.
- education in photography takes much time and costs lots of money.
- a surplus of choices among post-correction apps and various image enhancers ("beautificators") doesn't develop one's creative vision and essentially enhances the quality of photos.
Solution
A "masterpiece button" could solve all the problems in creating perfect images. And all the user would have to do is enjoy his life, save beautiful pictures and generously share them with friends and family members, getting appreciation in return.
Why now?
Today we've reached such a level of technology and an in-depth study of "machine intelligence" that it's time to create an entirely new way of photographing. Artificial intelligence combined with creative computer vision should take only perfect photos under the user's supervision. We called this method DINA. |
Trends:
- Choosing the best shotsusers strive to upload only perfect pictures
- Minimizing user's efforts / Making life easierUse of artificial intelligence algorithms and process automation
- Night mode like in professional photographyImproved quality of photos made in low light conditions
- Photo assistantUseful guidelines, hints, and automatic settings
- Face recognitionAutomatic shooting or portrait mode when detecting a face
- Awesome front cameraSelfie will always be popular as a genre in photography
- Object recognitionA beneficial option for choosing a shooting mode
- No time to wait for the birdie. Just aim and shootLife goes faster now than ever before, so people try to catch every moment
- Camera phonesMobile photography has become an integral part of modern human life
- Augmented realityUsers want to interact with new technologies
Market size
in mobile photography segment
1,3T
Mobile photos
yearly made
18%
Uploaded to internet
every year they are uploaded to Instagram, Facebook, Snapchat, etc.
30%
the New method
will provide the boost of quality content
in Online Advertising segment
(according to IDC)
(according to IDC)
$650B
ТАМ
$196B
SAM
$12B
SOM
user motivtion
People crave more likes on social media ("social stroking")
Competitros
mobile photo apps
Instagram
Instagram is a mobile app with features of a social network for sharing photos and videos. It allows users to take pictures and shoot videos, apply filters, and share the results on Instagram and social networks.
Snapchat
Snapchat is a mobile multimedia messaging app
VSCO
VSCO is a mobile photography app. It allows users to capture photos in the app and edit them, using preset filters and editing tools.
Snapseed
Snapseed is a raster photo-editing application that enables users to enhance photos and apply digital filters.
PicsArt
PicsArt is an image editing, collage, and drawing application and a social network. PicsArt enables users to take and edit pictures, draw with layers, and share their images with the PicsArt community and other networks like Facebook or Instagram.
Facetune 2
Facetune is a photo editing application used to edit, enhance, and retouch photos. The app is often used for portrait and selfie editing.
camera phones manufacturers
Apple
Best portrait photography
Google
Best night photography
Huawei
Best image detail
Samsung
First interactive tips and hints in a cell phone camera
Our Competitors are fighting for users' hearts, offering them various "magical beautificators". Photo editors, filters, stickers, etc. just allow users to make final decisions by themselves.
And finally, all of them only mask users' mistakes and just can't correct them. This is a wrong way.
And finally, all of them only mask users' mistakes and just can't correct them. This is a wrong way.
"We can't look at the competition and say we're gonna do it better. We have to look at the competition and say we're gonna do it differently".
Steve Jobs
Apple
We are creating a blue ocean
Based on the feedback from alpha testers, on the results of marketing analysis, on insights received during problem interviews, and from focus groups, we are confident that the synergy of human and artificial intelligence will start a new era in the world of amateur and professional photography.
Product
Creative vision of a machine
We are working on creative computer vision - 3rd Generation of Photography. Our complex algorithm consists of artificial neural networks trained on fundamental principles and rules of photo art, generative adversarial networks intended to replace expensive photo lenses, and reinforcement learning algorithms trained on users' behavioral models.
DINA helps you keep the best impressions of your life the way you see them exactly.
On a consumer level, DINA is just a creative assistant, a mobile photographer, a friend - who is working for the users, taking pictures for them, learning from their preferences, and getting closer to the owner's style all the time.
Whatever thing you would take has the continuation of his owner's personality.
And we call this assistant - DINA (Digital Image Neural Assistant).
Whatever thing you would take has the continuation of his owner's personality.
And we call this assistant - DINA (Digital Image Neural Assistant).
How can people want something they've never seen in their life?
The new approach to creating photographs was found during a two-year target audience research, consisting of interface testing, customer development, and experiments on focus groups.
The most unusual thing in placing a new product on the market is breaking old patterns and changing users' habits. The main task is to anticipate users' needs.
The most unusual thing in placing a new product on the market is breaking old patterns and changing users' habits. The main task is to anticipate users' needs.
This is our new minimalistic interface without any button. So that nothing distracts you from framing your ideal moment
Use case scenario
The user only needs to point the camera at the desired object, position the lens according to the assistant's tips on the screen. DINA will take a picture, simultaneously performing all the minimally necessary manipulations with the image during a split second according to the laws of the genre so that the quality approaches a professional level.
By accepting or rejecting the result, the user teaches DINA and helps her evolve and adapt to the user's preferences.
By accepting or rejecting the result, the user teaches DINA and helps her evolve and adapt to the user's preferences.
Data Analysis The system keeps on analyzing the accepted captures for social response and distribution. Due to this approach and the interaction between artificial intelligence and users, DINA learns to use their favorite angles and creative ideas. With special approval, DINA collects share metrics of accepted captures: what social network they have been published, how many views, comments, likes, and shares they got, etc. |
Hotspots with perfect angles on a unique Augmented reality Map All social response and EXIF photo data metricshave to be placed into ample data storage, analyzed, and evaluated. Hotspots with perfect views and angles for taking pictures appear on an Augmented reality Map. With this map, we'll create a new marketplace for product placement – hidden ads that don't annoy users and guarantee advertisers traffic and brand recognition. |
Roadmap
Business models
Freemium
Up to the level of 5M DAU
60 Photos per month
can be saved and shared for free.
further
$4,99 per Month
(Conversion of Users into Paying Customers – 3,5%.)
can be saved and shared for free.
further
$4,99 per Month
(Conversion of Users into Paying Customers – 3,5%.)
Commercial spots
from 1M DAU
Commercial spots will be implemented on an AR map, and the advertised brand will be on camera and therefore well seen in users' pictures. These kinds of ads are an example of not annoying product placement. The brand is on camera. The algorithm controls the mass distribution and social impact.
depending on traffic each spot brings us
$1.000 to $1.000.000 per month
(At one place, there will be only ten available spots per customer place. At least one of these spots will be commercial.)
depending on traffic each spot brings us
$1.000 to $1.000.000 per month
(At one place, there will be only ten available spots per customer place. At least one of these spots will be commercial.)
Commercial art spots
form 5M DAU
Commercial Art Spots are unique art objects placed in augmented reality, created with brands to increase user engagement and brand awareness.
Depending on traffic and collaboration of the project,
each spot's rent starts from $1.000.000 per month
Depending on traffic and collaboration of the project,
each spot's rent starts from $1.000.000 per month
Core Team
- Max ZemtsovCEO, Business development, UX/UI, DataScience
- Vladimir KapustinChief of Development
- Alexander BereznevDataScience & High-load Server Systems
- Oleg KorotkiyPR & Media
At the moment, we are a team of 17 professionals craving to launch a new standard in photography and burn the light of the revolutionary idea in this market
Max Zemtsov
Founder & CEO
Graduated from Moscow State Institute of International Relations (MGIMO University), worked in various positions, including state service. He has rich experience in business and project management, as well as in strategic and financial planning. Machine learning and web programming specialist, UX/UI designer of various interfaces, 2D/3D designer, keen on photography for more than 18 years.
Max Zemtsov
Founder & CEO
Graduated from Moscow State Institute of International Relations (MGIMO University), worked in various positions, including state service. He has rich experience in business and project management, as well as in strategic and financial planning. Machine learning and web programming specialist, UX/UI designer of various interfaces, 2D/3D designer, keen on photography for more than 18 years.
Vladimir Kapustin
Chief of Development
Graduated from MEPhI (Moscow Engineering Physics Institute) with a specialty in cybernetics. Over the past eight years, he has managed companies specializing in mobile development using AR technologies and neuro models. In our team, he is responsible for the entire technological development of the DINA mobile app. Amateur photographer.
Vladimir Kapustin
Chief of Development
Graduated from MEPhI (Moscow Engineering Physics Institute) with a specialty in cybernetics. Over the past eight years, he has managed companies specializing in mobile development using AR technologies and neuro models. In our team, he is responsible for the entire technological development of the DINA mobile app. Amateur photographer.
Alexander Bereznev
DataScience & High-load Server Systems
Alexander has been working in the field of high payload data server systems and data analysis for over 12 years. He is a high-ranking engineer at Microsoft. More than 6 years of experience in building fault-tolerant server systems and working with databases. Keen on photography for over 16 years.
Alexander Bereznev
DataScience & High-load Server Systems
Alexander has been working in the field of high payload data server systems and data analysis for over 12 years. He is a high-ranking engineer at Microsoft. More than 6 years of experience in building fault-tolerant server systems and working with databases. Keen on photography for over 16 years.
Oleg Korotkiy
PR & Media
Linguist, journalist, media, and communication expert with experience in mass media management, PR, and promotion for more than 21 years. Passionate photographer for over 27 years.
Oleg Korotkiy
PR & Media
Linguist, journalist, media, and communication expert with experience in mass media management, PR, and promotion for more than 21 years. Passionate photographer for over 27 years.
Advisory Board & Mentors
Our project is supported by mentors and consultants specializing in IT & AI projects and international business.
- Sergey LisitsynAI Technical AdviserHead of the Behavioral Technology Group at Yandex
Professor at HSE – Big Data and Machine Learning Master's Program - Mikhail SmolyanovIT DevelopmentIT and Financial Mentor
Partner of Digital Cloud Assets Investment Holding
Chairman of the Board of Directors at Unisender
Founder at Megaplan (CRM), Finolog, a financial accounting service - Talli KelmiGlobal Marketing & BrandingIdentity, Branding and Marketing Mentor & Advisor
Managing Partner and Creative Director at Ampersand.fm Communications Agency
Financials
Key financial performance indicators
including benefits for the VC/Partner
on this early stages round
(by the end of 24 month period)
including benefits for the VC/Partner
on this early stages round
(by the end of 24 month period)
IRR 302%
This figure is based on a sensitivity matrix analysis.
WACC = 30%
Please note that we deliberately took a very pessimistic discount rate for our calculations.
16,2х Cash-on-cash
Cash income earned on the cash invested.
$1,9 М by the eop 2nd year
To bring our project to sustainable growth and to close series A round, we need $1,9M for:
– Development (43%)
– Marketing (34%)
– IT Infrastructure (14%)
– CAPEX and non-recurrent expenses (9%)
– Development (43%)
– Marketing (34%)
– IT Infrastructure (14%)
– CAPEX and non-recurrent expenses (9%)
$310 Millions
In a pessimistic scenario, the estimated pre-money valuation of the company at the end of the second year will be $310M.
$5 DAU Valuation
Value of each daily active user is estimated to be only $5.
In comparison, DAU value of Instagram during first two years (before it has been acquired by Facebook) was $217, and DAU of Masquerade $103.
(Source: AppAnnie)
In comparison, DAU value of Instagram during first two years (before it has been acquired by Facebook) was $217, and DAU of Masquerade $103.
(Source: AppAnnie)
Key charts
Accumulated Free Cash Flow
Broken down by expenses for the pilot year
Key metric – DAU
for 24 months
Let's make people happier!
Max Zemtsov
R&D Office
42 Bolshoi blvd., bld. 1,
Skolkovo Innovation Center,
Technopark,
121205, Moscow, Russia
Phone: +7 916 209 38 81
E-mail: mvzemtsov@projectdina.com
Head Office & Marketing
19421 Phil Lane, Cupertino, CA 9501
Phone: +1 408 916 56 65
42 Bolshoi blvd., bld. 1,
Skolkovo Innovation Center,
Technopark,
121205, Moscow, Russia
Phone: +7 916 209 38 81
E-mail: mvzemtsov@projectdina.com
Head Office & Marketing
19421 Phil Lane, Cupertino, CA 9501
Phone: +1 408 916 56 65
Инновационные исследования и разработка решений DeepTech проводятся в том числе при финансовой поддержке Фонда «Сколково».
From Russia with love ❤️