ANAGOG: Capturing, Analyzing and Predicting Real-Life Mobility and Location Information of Smartphone Users

  • 2 November 2017
  • Expert Insights

This post is part of our new Future of Smart Cities series which interviews the leading founders and executives who are on the front lines of the industry to get a better understanding of what problems the industry is facing, what trends are taking place, and what the future looks like. 

The following is an interview we recently had with Ofer Tziperman, CEO of ANAGOG.

1. What’s the history of ANAGOG? Where and how did you begin?

OT: We founded Anagog some 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 behavior 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.

ANAGOG – The Mobility Status Company

2. What specific problem does ANAGOG solve? How do you solve it?

OT: We turned our JedAI SDK to be the first on-handset AI engine, which uses the multiple smartphone’s onboard sensors to detect the mobility status of users on the device itself without any dependency of a backend server. The most exciting aspects of our AI engine is JedAI’s ability to predict, on the device itself, what the user is likely to do next, when and where. In fact, it is the phone that understands its user, so even from a privacy point of view this is all under the user’s full control. This is a major benefit that allows to provide a much personal and engaging service to each user individually.

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

With a worldwide coverage, our big data is quickly becoming one of the most accurate and valuable globally used data sources. Our selected partners are using this data as a basis for numerous automotive-related services, real-time traffic, smart cities, insightful business analytics, location-based advertising tools, consumer segmentation, and more.

JedAI SDK – the first on-handset AI engine by ANAGOG

3. What’s the future of transportation?

Prediction #1: User-Centric and Not Car-Centric. With less millennials even bothering to get a driving license and with the gradual introduction of autonomous driving, transportation services will become more user-centric. The best-car-driving experience will make way to best-transportation-service experience. The automotive OEMs will become mobility service providers and will shift their focus to offer a more efficient transportation service to their customers. Luxurious cars will be replaced with mission-efficient convenient cars. Less people will own a car, but more people will use cars as their preferred transportation methods, without the parking, insurance, and car-maintenance hassle.

Prediction #2: Personal Transportation Experience. The best mobility service will be decided by the level of personalization it can offer for the individual user. With the introduction of advanced AI solutions, the era of one-size-fits-all is formally over. Users will expect that their mobile phone will understand and even predict their transportation needs and will know to match them the best service at the right time and place.

Prediction #3: The End of Parking as We Know It. While this is still expected in the longer term, if transportation will indeed move from individual-car-ownership into comprehensive cross-platforms mobility service, then a most important impact will be a drastic decrease in parking services. The implication on many other supporting industries street spaces and CO2 emission will be dramatic.

4. What are the top 3 technology trends you’re seeing in transportation?

Trend #1: Ride-Sharing Apps. Ride-Sharing apps are providing a service that arranges one-time shared rides on very short notice. The emerging ride-sharing economy relies heavily on the availability of super-accurate location technologies. At Anagog we provide a more accurate location indication, reducing the need for back and forth interaction between drivers and passengers, frustrating trip cancellations, and customer-service related costs.

Trend #2: Connected-Driver Solutions. Connected Driver solutions aim to provide a platform to access real-time data on Driver’s performance based on various parameters. At Anagog we provide the ‘missing piece of the puzzle’ in offering a full 24/7 service to drivers, even when they are not in the car. With our AI engine algorithms on the phone, we allow seamless understanding of driver’s needs both inside and outside of the car.

Trend #3: Car Dealerships Analytics. Like any other business, Car Dealerships are interested in knowing how many potential customers visited their brand, where they came from, which other brands they visited on the same day, etc. Anagog’s new business analytics web-tool, BIsense, provides wide range of foot-traffic analytics for brick-and-mortar businesses, Car Dealerships included, that help them better understand their customer’s needs and shopping habits.

BIsense – the new business analytics web-tool by ANAGOG

5. Why is the transportation industry ripe for disruption?

OT: After over a century of major changes in ground and air transportation, the fast-emerging Artificial intelligence will drive the introduction of autonomous cars (and eventually even flying cars) and will also drive the creation of transportation service layer on passengers’ mobile phones. The combination of the two will no doubt change drastically the way we use the various transportation methods, and accordingly, will change the way we consume the transportation platforms. Accordingly, it will drive major changes in infrastructure. It will start slow, but at a certain point, the snowball will become too large to stop.  

At Anagog we believe that there are two important factors that will impact the use of mobility services: One is the need to comply with the new strict privacy regulations and the other one which will address such need, is the demand for a device-centric service, that will replace the heavy dependency on client-server architectures. The solutions that will prevail are those which will manage to understand the user on-device, and will offer him or her the right service without compromising their privacy.

About Ofer Tziperman

With over 20 years’ experience as entrepreneur and leader of High Tech private and public companies, Ofer leverages his technology and management experience to drive Anagog’s long-term success. Prior to Anagog, Ofer served as the CEO of OTI, a leading developer of NFC based payment solutions and as the CEO of Parx, a provider of on-street parking payment solutions. In 2000 Ofer co-founded LocatioNet Systems, a pioneer in the Location-Based Services market. In 2001 the World Economic Forum awarded him in Davos as ‘Technology Pioneer’. Ofer has an LLB Law degree from the Tel-Aviv University.

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