babbobox

Digitally Transforming GLAM (Galleries, Libraries, Archives and Museums)

Some problems are so complex today that they can only be solved using AI. This certainly applies to what many consider to be the last frontier in Search technology - Audio Visual Media.

By using a combination of AIs (like speech and face recognition), Videospace unlocks hundreds and thousands of hours of knowledge within your media libraries by making them accessible and discoverable.

With the World's First Translated Video Search, we can further unleash the full potential of your media library by making them searchable in other languages! Extending its assessibility and discoverability!

Besides running Videospace on a world-class video platform (the same platform used by the 2012 and 2016 Olympics), we are using a combination of following advanced technologies:

  • Speech Recognition (over 100 languages)

  • Translation (over 60 languages)

  • Face Recognition

  • Video OCR (up to 26 languages)

  • Natural Language Processing (over 20 languages)

  • Video Search Engine - index and search video in time-series

  • World’s First Translated Search Engine – searches over 6,000 different language pairs

To find out more,


ANNOUNCEMENT: Babbobox and Ricoh enter into a strategic partnership to drive Digital Transformation in Asia with Artificial Intelligence

A.I. Storage for every Enterprise

Singapore, 15 May 2019 - Babbobox announces the strategic partnership with Ricoh Asia Pacific for the official launch of AIspace (www.aispace.co, pronounced as “i”space) in Asia. This partnership is aimed at providing an innovative enterprise-grade Artificial Intelligence (A.I.) storage solution that enables digital transformation in the Asian workplace.

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Enterprises know the need for digital transformation. They also know the importance of A.I. in staying competitive and being future-ready. However, many enterprises perceive A.I. to be out of reach because they think it is either too costly or have little knowledge about its benefits to them. AIspace will be challenging that perception with its mission “to make A.I. accessible to all enterprises”. 

The Babbobox and Ricoh Asia Pacific partnership is aimed at making A.I. accessible and affordable to Asian enterprises by introducing A.I. to something every enterprise need - Storage. AIspace applies numerous A.I. like Computer Vision and Natural Language Processing to digital assets (documents, images, media) that already exist within enterprises; making them discoverable with the World's First Unified Search Engine. 

AIspace’s Document AI capability allows users to automatically identify the main points of a document without the need to read the document. Using techniques from class-leading Natural Language Processing (NLP) toolkits, AIspace automatically extracts information (about people, places, events, and much more) from text documents. Imagine the time saved for enterprises that handles large volumes of documents daily. 

The biggest storage challenge for images is that you cannot search them. Current platforms that allows image search requires users to tag all images manually. AIspace is changing that by applying A.I. to automate this process where it analyzes images and return results based on thousands of recognizable objects, living beings, scenery and actions. Along with our search engine, images are indexed with tags created and made searchable automatically.

"We are excited about this partnership with Ricoh Asia Pacific," according to Alex Chan, CEO of Babbobox. "We believe that our partnership enables Ricoh customers to further extend the usage of their Ricoh Multifunctional Printers (MFP), thus creating more value. We also believe AIspace is a game-changer in this enterprise space because we are making A.I. accessible and affordable to enterprises, and thus, allowing Ricoh’s customers to reap its benefits." 

With this partnership, AIspace will be exclusively available in nine Asian countries via Ricoh Asia Pacific channel networks. These 9 countries are Australia, Hong Kong, Malaysia, New Zealand, Philippines, Singapore, Taiwan, Thailand and Vietnam.

About Ricoh

Ricoh is empowering digital workplaces using innovative technologies and services enabling individuals to work smarter. For more than 80 years, Ricoh has been driving innovation and is a leading provider of document management solutions, IT services, commercial and industrial printing, digital cameras, and industrial systems. 

Headquartered in Tokyo, Ricoh Group operates in approximately 200 countries and regions. In the financial year ended March 2018, Ricoh Group had worldwide sales of 2,063 billion yen (approx. 19.4 billion USD).

For further information, please visit www.ricoh.com 

About Babbobox

Babbobox developed one of world's most advanced AI-infused Unified Search Engine where it combines numerous advanced technologies (Speech Recognition, Video OCR, Cognitive Services, Image Analysis, Artificial Intelligence and Enterprise Search) into a single platform. In 2017, Babbobox launched VideoSpace - the next generation of Video AI Platform. Babbobox has evolved, transformed and has become a global leader in Video Search Engine technologies by creating Four World's First. Babbobox is using these breakthroughs into their data and video platforms to enable enterprises unleash the true value of their digital assets. 

For further information, please visit www.babbobox.com

To find out more about AIspace, please contact us

ANNOUNCEMENT: Global Launch of AIspace – The Next Generation of A.I. Storage

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Singapore, 19 April 2019: - Babbobox officially announces the global launch of AIspace (pronounced as "i"space) – The Next Generation of A.I. Storage in Singapore.

Enterprises know the need for digital transformation, they also know that Artificial Intelligence (A.I.) will play a big role in that transformation. However, many perceive A.I. to be out of reach because they think it is either too costly or they have little knowledge about its benefits to them. This is about to change.

AIspace’s Mission is “To make A.I. accessible to all enterprises”

In AIspace, we are infusing A.I. into the something all enterprises need - Storage. By applying A.I. to digital assets (documents, images, audio and video) that already exist within your organization. For the first time ever, enterprises will be able to index and search inside all your documents, images, audio and video in a single platform using the World's First Unified Search Engine

Beyond Search, you can now apply A.I. to documents and images for analysis. This will open up a whole world of future possibilities, especially in Big Data. 

AIspace is simply what enterprise storage should really be - Intelligent!

About Babbobox

AISpace is a service fully owned by Babbobox. Babbobox developed one of world's most advanced A.I. Video Search Engine where it combines numerous advanced technologies (Speech Recognition, Video OCR, Cognitive Services, Image Analysis, Artificial Intelligence and Enterprise Search) into a single platform.

Babbobox started as a Cloud Document Management System focusing on helping enterprises to organize their digital assets. In 2017, Babbobox launched VideoSpace - the next generation of Video A.I. Platform. Babbobox has evolved and transformed to become a global leader in Video Search Engine technologies. We are using these breakthroughs in our data and video platforms to enable enterprises unleash the true value of their digital assets. 

AIspace is launched in 2019 with the mission of making A.I. accessible to all enterprise by means of infusing A.I. into storage.  

To find out more, please CONTACT US

Wishing all a Merry Christmas and a Fantastic New Year!

2018 has been another breakthrough year for us as we traveled the world and launched another TWO World's First:

We would like to thank all of you for taking this sensational journey with us! We just can't wait to take on 2019! 

Wishing you a Merry Christmas and a Fantastic 2019!

Yours sincerely, 

All of us at Babbobox

Video Big Data Whitepaper (FREE download)

video big data videospace

The term "Video Big Data" is rarely heard of. The reasons are pretty simple: 

  1. It's difficult to extract data from videos
  2. It's difficult make sense of unstructured video data

Therefore, it is not an understatement to say that video is the most difficult medium to search and extract intelligence from. However, given the amount of videos are that generated daily in the public domain (e.g. YouTube) and private domain (e.g. broadcasters, CCTV, education, etc.), it is also not an understatement to say that video is the King of Content. 

The objective of Big Data is to gain Business Intelligence. Video Big Data is no different. The obvious difference is the source and the type of data that can be extracted out from videos.

This Video Big Data Whitepaper aims to explain how we can extract value and intelligence from videos with a 3 step approach:

  1. Extract video data 
  2. Transform unstructured video data
  3. Analyse to data into intelligence 

With this whitepaper, we hope to share some of our knowledge and experiences working with Video Big Data. From our calculations, we estimate that Video Big Data will dwarf Big Data as we know it. Thus, the importance of this whitepaper. We hope you enjoy and benefit from it!

Yours sincerely,

The VideoSpace Team

Bringing AI Video Search to Broadcast Asia

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We are super excited about bringing our A.I. Video Search to Broadcast Asia after starting out in UK, US and China in 2018. It feels so good to be home!

Babbobox CEO, Alex Chan will be talking about "The Age of AI" and how it will transform the entire broadcast and media industry with Video Search, Personalized Content and Video Big Data.

We will also be making a big announcement and showcasing it during the show! We are pretty sure it will blow you away! So do drop by and say Hi!

Video Big Data (Part 3) – From Mess to Intelligence?

The objective of Big Data is to gain Business Intelligence. Video Big Data is no different. The obvious difference is the source and the type of data that can be extracted out from videos. In there, lies the main challenges - Extraction, Transformation and Analysis.

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In this instalment, we will explain why Artificial Intelligence is central to the “mess” in video big data.

In the first installment (Part 1), we explained:

  • Why Video Big Data will absolutely dwarf current Big Data, and
  • How Video is the most difficult medium to extract data

In the previous instalment (Part 2), we examined:

  • the kind of data elements that we can extract from videos (speech, text, objects, activities, motion, faces, emotions)

But first, let’s examine why there is a mess in video data. The short explanation is because a large part of video data is unstructured data. In particular, data from speech and text. For example, text extracted from a 30 minutes news segment could cover multiple topics and events, mentioned numerous places and persons. To add to the complexities, we have to time-aligned when these words are spoken. In many ways, text (e.g. slide presentations that appear in videos) are the same.

Thus, we have to answer 2 key question:

  1. How do we meet sense of ‘messy’ video data?
  2. How can we extract knowledge or intelligence from that mess?

The answer lies in another form of Artificial Intelligence (A.I.) - the study of Natural Language Processing (NLP). That is because it can process and attempt to make sense of unstructured text in the following areas:

  • Topic detection
  • Key phrase extraction
  • Sentiment analysis

The reason is because NLP can be used to turn unstructured video data into structured data. Only then can we start making sense and manipulating the data into either intelligence or actionable items like alerts, triggers, etc.

The field of Video Big Data is just starting. Without the advancement in multiple areas of Artificial Intelligence in multiple areas (Speech Recognition, Computer Vision, Facial Analysis, Text Analytics, etc.), Video Big Data wouldn’t even exist as it needs these fields to work in tandem or in sequence.

Given the rate that we are producing videos, alongside our ability to extract video data using A.I. The only way is up and we are not even close to uncovering the tip of Video Big Data iceberg.

Video Big Data will be bigger than BIG. 

VideoSpace will be right in the middle of it all. Let’s put this prediction into a time capsule and revisit it in a few years.

Video Big Data (Part 2) - What kind of Video Data?

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In the last installment, we explained:

  • Why Video Big Data will absolutely dwarf current Big Data
  • How Video is the most difficult medium to extract data from

Which explains why Video Big Data remains a largely unexplored field. But also means the intense opportunities available because we have not even scrap the tip of this huge data iceberg.

In this installment, we will examine the kind of data elements that we can extract from videos. 

1. Speech
In a hour of video, a person can say up to 9,000 words. So imagine the amount of data just from speech alone. However, the process of transcribing speech is filled with problems and we are currently only starting to get an acceptable level of accuracy.

2. Text
Besides speech, text is probably the second most important element inside videos. For example, in a presentation or lecture, besides speech the speaker would augment the session with a set of slides. Or news tickers appearing during a news broadcast. 

3. Objects
There are thousands of objects inside a video within different timeframe. Therefore, it can be quite challenging to identity what objects are in the video content and in which scene they appear in. 

4. Activities
The difference between video and still images is motion. Different video scenes contain complex activities, such as “running in a group” or “driving a car”. Ability to extract activities will give a lot of insight what the videos are about. This includes offensive content that might contain nudity and profanity.

5. Motion
Detecting motion enables you to efficiently identify sections of interest within an otherwise long and uneventful video. That might sound simple, but what if you have 10,000 hours of videos to review every night? That’s a near impossible task to eyeball every video minute.

6. Faces
Detecting faces from videos adds face detection ability to any survelliance or CCTV system. This will be useful to analyze human traffic within a mall, street or even a restaurant or café. When we include facial recognition, it opens up another data dimension.

7. Emotion
Emotion detection is an extension of the Face Detection that returns analysis on multiple emotional attributes from the faces detected. With emotion detection, one can gauge audience emotional response over a period of time.

This list of video data is certainly not exhaustive but is a definitely a good starting point to the field of Video Big Data. In the next installment, we will examine some of the techniques used to extract these video data. 

Yours sincerely,

The VideoSpace Team

Video Big Data (Part I) - An Introduction

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Fact: YouTube sees more than 300 hours of videos uploaded every minute. That's 18,000 years worth of videos in a year. And that's just YouTube ONLY! If we add all other videos in the public domain, we wouldn't even know where to start with the numbers. 

However, the even bigger numbers are actually hidden in the private domain from sources like broadcasters, media companies, CCTVs, GoPros, bodycams, smart devices, etc. We are recording videos at an unprecedented pace and scale. 

There is one word to describe this - BIG!

Which brings us to Video Big Data. Or should I say the lack of it. Even the term "Video Big Data" is rarely heard of. The reason is pretty simple - this stems from the inability to extract video data and making sense of it. But there is so much information embedded inside videos that is waiting to be discovered, it's an absolute goldmine! 

So the real question is... how can we extract value from videos?

However, the problem with video is that it is the most difficult medium to work with. There are a few reasons why: 

  • There are so many elements inside a video (speech, text, faces, objects, etc)
  • It is not static.
  • It is very difficult to extract the various elements of video data. 
  • Each video element requires a different data extraction technique.
  • It is very difficult to make sense of video data because of its unstructured nature.
  • It's expensive to extract data at scale

These problems are real and is preventing the arrival of Age of Video Big Data. But there is hope yet. With substantial use of Artificial Intelligence, VideoSpace is beginning to crack this enigma. 

In the next segment of this "Video Big Data" Series, we will examine how we can tackle these problems and extract value from videos. 

Launch Announcement - “Translated A.I. Video Search” to break Language Barriers for Video Search in Washington D.C.

Washington DC, 5 March 2018: - Babbobox officially announces the launch of the World’s First “Translated A.I. Video Search” at the Microsoft Tech Summit held in Washington DC, United States.

Humans are not only divided geographically, but also by language. Today, we are lifting this language barrier and allowing video search in a language that you do not understand.

Imagine you are doing research on Japanese culture and the only language that you know is English. How would you research videos that are in Japanese? The simple answer is, you can’t. That’s because even with the best search engines today, can only search for words in the same language that you enter. Meaning, if you key in English and there will not any results because the videos are in Japanese.

Language is the BIGGEST Search barrier today.

What our “Translated A.I. Video Search” does is that it allows you to search in another language. Meaning, you can search a Japanese video in English (or any other language that you choose) and we will bring you to exactly where this word is said in the video. We can do that in 600 different language pairs.

What this means is that these videos in Japanese are no longer limited by the language barrier and the knowledge within these videos are now made available not just to watch, but also to be search.

Unleash your video library’s true potential by allowing your audience to search your videos in their own languages. In the process, we also automatically create a massive amount of Video SEO in multiple languages, thus, allowing other search engines to index and search your videos!

From the extracted video data, we use various NLP (Natural Language Processing) techniques to transform the unstructured big data into a language that you understand, where you can further analysis, turning data into intelligence.

As of today, our Search Engine has the following languages supported:

  • Speech Recognition - 12 languages
  • Video OCR - 26 languages
  • Documents - 100+ languages
  • Translated Search – 600+ language pairs 

About Babbobox (website: www.babbobox.com)
Babbobox enables organisations to unleash potential value in their digital assets by using A.I. Search. Babbobox developed Four World’s First breakthrough A.I. solutions, including our Unified Search Engine that combines numerous advanced technologies like Speech Recognition, Video OCR, Image Analysis, Artificial Intelligence, Translation and Enterprise Search, etc. We are the only solution today that empowers you with the ability to index and search across all digital assets (documents, images, audio and videos) on a single platform. With the extracted data, we turn it into Unstructured Big Data by analysis using various Natural Language Processing (NLP) techniques.

We transform your unstructured data into intelligence. Made possible by A.I.

To find out more, please CONTACT US

Bringing A.I. Video Search to DC

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Super excited about bringing our A.I. Video Search to Washington D.C at the Microsoft Tech Summit. We hope to do Asia and Singapore proud (as it looks like we are the only ones)!

On top of that, we are also super excited about the announcement that we will be making during Tech Summit. We believe it's another WORLD'S FIRST! This will bring the world closer, in terms of knowledge, language and data.

If you think our ability to search 7 video elements (speech, text, objects, motion, faces, emotions, offensive content) awesome...

What we are going to announce next will blow you away! Watch this space!

Babbobox featured on The Record for their World's First

Our launch - "World's First Video Search Engine with Interactive Results" in Birmingham (UK) was picked up by The Record and given some airtime. It feels great to be picked up and be given that bit of recognition for doing what we do to a global audience. 

Click HERE for the article.

Note: The Record is a global magazine featuring the Best of Enterprise Technology on The Microsoft Platform.

ANNOUNCEMENT: Global Launch of World’s First “Video Search Engine with Interactive Results”

Birmingham, 24 January 2018: - Babbobox and Infini Videos officially announce the launch of the world’s first  “Video Search Engine with Interactive Results” at the Microsoft Tech Summit held in Birmingham, United Kingdom today.

Both tech start-ups Babbobox and Infini Videos believe the future of video search lies in immediate content relevance. Video has proven to be the hardest medium to index because there is so much detail.  Aside from the metadata that an editor may have typed in, most archived videos are essentially unstructured data.  Often, this is because transcripts are not made and scripts are lost, or there isn’t sufficient timing information to align with the video.

To make sense of this data, techniques such as Speech Recognition, Video OCR, Image analysis and various Cognitive and Artificial Intelligence are applied to extract data from media. Since much of the videos in archives contains speech, therefore automatic transcription is a great first step in extracting data from media. With the transcript, an editor is able to search for timecodes in source videos, scrub through those sources, and manually locate viable scenes. This manual process is time-consuming, and not suitable for public use since a text search result does not make for a watchable video.

The innovative “Video Search Engine with Interactive Results” that Babbobox and Infini Videos have co-produced, allows a user to search a topic, and immediately view the search results as an interactive video. One is able to immediately choose scenes within the video that are relevant to the search. With the full-automation of the indexing and the output scene selection, productivity is enhanced and content for the public will scale up. The platform promises increased productivity as it will provide users with fine control over topics and sources, and allow editors to focus on the direction of the stories.

Babbobox and Infini Videos believe that this will be the future of Video Search.

About Babbobox (website: www.babbobox.com)
Babbobox launched two World’s First - World’s First True Unified Search Engine where it has the ability to index and “Search Everything” (all formats including video, audio and documents). Thus, positioning Babbobox to become "The Next Generation of Intelligent Storage". With VideoSpace, we created the World’s Frist Video-Search-as-a-Service. Thus, forming the foundations to enable a new breed of video services for the world.

About Infini Videos (website: www.infinivideos.com)
Infini Videos is a B2B online technology platform for the creation and delivery of HTML5 interactive videos. Infini Videos makes it easy to create engaging interactive videos as well as to access the rich data analytics offered on the platform. The company currently offers branching aka “Choose-your-own-adventure” and 360-degree types of interactivity. In addition to the technology platform, the company also provides specialized creative services as a one-stop solution for clients. Infini Videos is part of the Mediacorp’s MediaPreneur Incubator programme.

To find out more, please CONTACT US

Episode X - A New Search (and a Forceful 2018!)

CLICK to watch how VideoSpace aid the Rebels in their search for the New Death Star...

In search of the new Death Star plans, the Rebels secretly planted thousands of cameras within the Empire in hope of finding clues. However, with thousands of videos and impending deadline, how can the rebels possibly search for information within videos?! Fortunately...

In a galaxy, not far away... 

VideoSpace Search Engine is helping the Rebels searches inside videos for speech, text, objects, motion, faces, emotions (note: not for stormtroopers since they wear helmets) automatically! Thus, finding vital clues for the New Death Star plans...

In the meantime, as we help the Rebels fight the Evil Empire, we wish you a...

Forceful 2018! 

From, 

All of us at Babbobox

May The Search Be With You!

What is a Video Search Engine? Part II – Searching Text

In Part I, we found out that there are 7099 living languages in the world. That includes both written and spoken only languages. According to Ethnologue (20th edition) out of that 7,099 living languages, 3,866 have a developed writing system.

Which leads us to this second part of our series – Searching Text inside a video. Besides Speech, Text is probably the second most important element where we can extract data from.

For example, in a presentation or talk given by a speaker. Besides speech, the speaker would augment the session with a set of slides. Therefore, besides his voice, text (in the slides) is another set of data that can be captured. This is important because what he says and what he present in the slides can be vastly different.

Text that can be OCRed during a presentation

Text that can be OCRed during a presentation

The technology to capture these text inside the video is called Video OCR (Optical Character Recognition). Video OCR is derived from OCR, a technology that has been around a long time.

By strict definition, Optical Character Recognition (OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo or from subtitle text superimposed on an image (source: Wikipedia). The first OCR machine that read characters and converted them into standard telegraph code was invented by Emanuel Goldberg in 1914!

Unfortunately, one hundred years on, OCR technology still has some ways to go, especially in the field of adding more language capabilities and recognizing handwriting. However, with more A.I. and Machine Learning, the hope is that researchers can add more capabilities to what OCR can do now.

However, Video OCR is giving OCR a new lease of life by simply adding another dimension – moving images. Given the amount of videos that has never been OCRed before and the amount of videos being generated every day, the potential for Video OCR is immerse.

To find out more about how you can search TEXT inside your videos, visit VideoSpace Video Search Engine or our Video-Search-as-a-Service.

Video Platform from a DevOps prespective - Babbobox CTO, Sabrina Lim at CloudExpo Asia 2017

Babbobox CTO, Sabrina Lim (yes.. she's a female CTO), will be speaking at CloudExpo Asia - DevOps Live at 12.05pm on 12 Oct.

Babbobox CTO Sabrina Lim

Essentially, she'll be speaking about a combination technologies covering Media, Search, A.I., Cognitive and unstructured data (all the stuff that we are using) from the DevOps perspective. So yes... it'll be a bit geeky and techie!

So if you are at the show, do drop by and say hi!

Microsoft recognizes Babbobox as key global partner for Media Services

We are delighted to be listed as a key Microsoft global partner for Azure Media Services on http://amslabs.azurewebsites.net/. (Please scroll down)

babbobox video search engine

This is in recognition of Babbobox's pioneering Unified Search Engine and Video-Search-as-a-Service where both services are World's First. 

"We are honoured to be invited by Microsoft to be part of this exclusive club of partners." said Alex Chan, Babbobox's CEO, "Considering Babbobox is still a relatively new entrant in comparison to other partners, to be invited into this elite group shows that Microsoft recognizes the huge potential in the things that we are doing. That Babbobox is pushing the boundaries and transforming the way we search in future."

Find out more about Babbobox Search Engine.
Watch this space for more updates!

Announcement: Babbobox and VideoSpace to launch a World's First at Microsoft Tech Summit in Singapore

Once a year, Microsoft runs a free, two-day training summit on cloud technologies in select cities. Along in this Summit, Microsoft would invite exclusive partners who are able to are on the leading edge of technology.

 
 

This year, we are proud to announce that Babbobox and VideoSpace will be part of the Singapore leg of the Tech Summit held between March 13 to 14, 2017. We will also be taking this opportunity to launch a World's First! So stay tune for upcoming news about this!

"We are excited about being invited to be part of this exclusive Tech Summit. It shows that Babbobox is right at the leading edge of technology." says Babbobox CEO, Alex Chan "We are also excited about the World's First that we will be launching during the Summit. There is no better platform than the Tech Summit"

Here's a little more about the Microsoft Tech Summit for those who has never been to one before. It is ran by top engineers from Microsoft’s own cloud teams. With more than 50 technical sessions, the summit covers a wide range of cloud topics across Azure and the hybrid platform, including security, networking, data, storage, identity, mobile, cloud infrastructure, management, devops, app platform, productivity, collaboration and more. And here’s where it’s really different: you’ll have direct access to the people who build and run the cloud services across Azure, Office 365, and Windows 10. All for FREE.

In the past, this event has filled up quickly, so I encourage you to reserve a spot NOW! So click on the link below to register!

While you are at the Summit, drop by our booth and say hello! I promise you that we'll blow you away with what we are officially launching! Moreover, it's a World's First!