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Presentation Recognizzit
Recognizz.it is a SaaS service that provides intelligent image recognition capabilities including face detection, face recognition, and image tagging. It was founded in 2014 and uses deep learning and neural network techniques to recognize people and objects in billions of images taken daily. Their technology can be used for applications like quick search, sorting of images, and more.
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Presentation Recognizzit
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- 2. Recognizz.it is aSaaS service for intelligent images recognition. We detect faces on images, compare localized faces and recognize the objects on images. WHO WE ARE 2/14 recognizzit
- 3. More than 1billion pictures are taken every day Recognition of people and objects Sorting Quick search PROBLEM recognizzit 3/14
- 4. B2B market SaaS basedon Deep Learning Both types (face recognition and image tagging) SOLUTION recognizzit 4/14
- 5. 2014 2,3 10 12,1 14,6 17,7 21,4 25,9 31,4 2,9 3,8 4,8 6,2 7,9 10,1 10$ 20$ 30$ 20152016 2017 2018 2019 2020 Global recognition market Face recognition market TAM (Total addressable market)– $12 B. SAM (Serviceable addressable market)– $5 B. SOM (Share of Market) –$250 M. MARKET 5/14
- 6. Face Detection Kairos Lambda Labs SKYBiometry Cloud Sight Imagga Clarifai Rekognition Alchemy API RecognizzIt Face Recognition Image Tagging Fine Tuning COMPETITORS 6/14
- 7. json Send a fileto a server (from any device) Photo is processed on the server Receive results in JSON HOW IT WORKS recognizzit 7/14
- 8. TECHNOLOGICAL BACKGROUND recognizzit Technologies: DeepLearning, Neural Networks, Convolutional Neural Networks, Support Vector Machines. Frameworks: OpenCV, Caffe, Torch, Theano, neon, libSVM, OpenBLAS, cuDNN. Benchmarks: ImageNet, PASCAL VOC, Labeled Faces in the Wild (LFW), YouTube Faces, Face Detection Data Set and Benchmark (FDDB). 8/14
- 9. SaaS service (from $0.005 for one type of recognition) Fee for special training and supporting algorithms Patents monetization BUSINESS MODEL recognizzit 9/14
- 10. MARKETING recognizzit partnership Media publications Demonstration apps InternetMarketing API aggregators Direct sales 10/14
- 11. 2015 2016 June AugustOctober December February April June 1 Start August 15 Demo August 1 Alpha December 1 Public Beta October Private Beta April Fine tuning release January 15 Release ROAD MAP 11/14
- 12. Expert in artificialintelligence, computer vision, neural networks areas. He is Research Fellow at Institute of MMSP of National Academy of Science of Ukraine. Artem Chernodub Head of Computer Vision team, graduated from Moscow Institute of Physics and Technology (MIPT) Lead R&D Engineer, professional interests are Deep Convolutional Neural Networks, Face Alignment, Object Detection, Face Recogniton, Machine Learning. Yurii Pashchenko Lead R&D Engineer, graduated from NTUU “KPI” (Faculty of Applied Mathematics) Has a rich experience in creation and support of various B2B projects in different domains. Professional skills - Business Development, Sales, Marketing. Bogdan Yakovenko Product manager, graduated from KNUTD 8 years of experience 4 years of experience 10 years of experience TEAM 12/14
- 13. First public appearance Receivefeedback Talent search Find mentors & advisors Finding investments PRESENTATION GOALS recognizzit 13/14
- 14. Bogdan Yakovenko [email protected] TRY DEMONOW twitter.com/imxotep42fb.com/imxotep42 www.recognizz.it