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Anagog Delivers Low Power Sensor-Based Mobility Status Technology

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Anagog is a software company which focuses on enhancing the value of contextual services for applications in modern smartphones. They first recognized that the phone’s sensors could be used in enabling the world’s largest real-time data analytics through the power of the crowd. Since then, their mission has been creating and improving the SDK to help developers build better apps and understand users through a easily accessible crowdsourced mobile data platform.

Below is our interview with Ofer Tziperman, CEO of Anagog:


Q: Could you provide our readers with a brief introduction to Anagog?

A: Anagog is the mobility status company. We founded the company 6 years ago with a mission to enable the best use of (the then emerging) new smartphone sensors for a variety of apps and services. It was clear to us from the early days that the power of each sensor alone at the hands of one user opens up nice opportunities, but the power of many different sensors smartly combined at the hands of millions of people all over the globe – this is a totally different ball game.

So, based on our vast experience with signal processing, we have dedicated the first years to develop deep technology that can analyze existing multiple sensors’ signals in smartphones. With ultra-low battery power, we know to capture, analyze and understand real-time mobility status and location information of smartphone users, making it easy for app developers to identify consumer behaviour and competitive trends, and to deliver better contextual mobile app experience for their end users.

Today, our solution is embedded into millions of smartphones globally via B2B model with over 70 apps. We collect and analyze billions of anonymous sensor readings per day, including time-contextual inputs from most of the on-board sensors such as accelerometer, barometer, Wi-Fi, Bluetooth, GPS and more. Our selected partners are using this data as a basis for numerous insightful business analytics, automotive related services, location-based advertising tools, consumer segmentation, maps drawing, real-time traffic, smart cities and more. With a worldwide coverage, our big data is quickly becoming one of the most accurate and valuable globally used data sources.

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Q: Can you give us more insights into your SDK?

A: Sure. Our SDK uses multiple smartphone sensors to anonymously detect the mobility status of users and understand their activity context. Our on-device state machine combined with machine learning technology, allows us to collect the raw sensor data directly from the source. We then analyze and aggregate the sensor data on each handset in real-time, to determine user activity levels and location.

Our SDK has been optimized to work with all sensor types across a huge variety of the most widely used smartphone brands and models, and we currently support over 25,000 popular handset models. A key advantage of our patented technology is that it focuses on activating only the relevant sensors at the right time, resulting in incredible power-efficiency.

With our SDK, we offer app developers a comprehensive set of features that supports the full spectrum of user mobility status and contextual activity data needs. The SDK provides 3 main layers of features: wide range of detected mobility statuses, low power and accurate location detection and several unique cloud services.

Q: You’ve been recently selected as the winner of Frost & Sullivan’s ‘Enabling Technology Leadership Award’ for 2017; could you tell us something more?

A: Yes, we are very happy about this important market recognition, since it emphasizes the real value that our partners see with our technology and solutions. On the one hand, app developers can offer totally new services and features that were simply not possible before, and increase their users’ engagement. On the other hand, the huge amount of anonymized data we are collecting allows us to offer additional crowdsourced services, such as our patented parking network, where we can direct a driver to a parking space 5 minutes before it becomes available. We further offer some advanced business analytics tools based on anonymized real foot-traffic based on our global big data.

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Q: What are your plans for next 12 months?

A: Alongside the increase of our SDK distribution with more major app developers, we are currently working with some leading partners in several domains including the automotive, advertising, business intelligence and smart cities. We are working on some new and exciting technologies that will enable some totally new services and we plan to introduce them later this year.

Q: What are the main challenges of developing smartphone’s sensor-based mobility status technology right now?

A: We have recognized that the first challenge is to be able to work with very low power consumption, so our footprint on the phone will be minimal. Accordingly, and based on 16 patents we have filed to date, we have managed to develop the most comprehensive and robust sensor-based mobility status technology available today. It is not enough to perfect the system on just a few phone models and operating systems, you need to do that across huge number of models. To be on top of all new models, support all sensor types and make alongside the ongoing support of new operating system versions, will always be a work in progress. All in all, this is our field of expertise and we are determined to solving this pain for our partners.

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