Navin patented technology breakthrough enables fast upscale, to become the world's #1 community based pedestrian guidance and navigation app.

The key problem is that GPS signals are unavailable inside buildings, rendering existing solutions useless. Whatever works for roads, does not work inside buildings. As a result, indoor venues, like hospitals, universities and airports, install thousands of beacons or manually map existing WiFi/magnetic field for every building, floor by floor. This is not a scalable approach.


Navin’s patented P2P Crowd Mapping offers a dramatically different approach that turns smartphones into anonymous mapping devices. Smartphones captures indoor structure using F-16 grade stabilization, noise canceling and drift correction algorithms.


Just like waze and moovit, navin is crowdsourced and community based. With navin places are automatically mapped by the crowd without any manual efforts and without cooperation from location owners. This friction-free, self-deploying virality, enables the company to pursue a unique go-to-market strategy and deliver value in millions of locations that competing solutions would never be able to reach.


Navin disrupts a $23Bn market, by making millions of public buildings worldwide navigable seamlessly, indoors and out with turn-by-turn guidance. Navin team is built for the mission, our chairman founded and sold 8 companies.

Navin is deployed in leading sites, has 12 employees, raised $1.5M in two funding rounds, graduated top accelerator programs – EISP 8200 and Microsoft Ventures, has deep patent applications in key territories and secured $450K from the Israel Innovation Authority.






Meet the team

Over 15 years’ experience in technology leadership and entrepreneurial expertise at Elbit, Compugen, VisionMap. Held management roles at successful companies. Recanati EMBA, Technion BSc CS, LLB Law & BA Economics.


Over 25 years’ experience in SW, HW and communication companies. CEO, founder or chairman of IXI, Modem Art, Widcom, Envara, Butterfly, DSPC. Few went IPO, other sold to Intel, Broadcom, TI, Agere etc


Founder & CTO experienced dev manager.
Held CTO position at webit.
Multiple-platforms hands-on experties.
Technion BSc EE & CS. RF engineer.

Nadav Riesenberg,


Although good companies, like Indoor Atlas for example, own relevant IP, secured significant funding and partnered key-players, they cover only several hundreds of buildings because their solutions do not include scalable technology. Navin’s patented solution enables viral self-deployment in millions of buildings worldwide by 2021.

Navin’s B2B first project reached hundreds of organic downloads of the hospital navigation app, and it is before they promoted it publicly with extensive investment in marketing by them. Following that project, Navin won a big tender last year from a leading medical health care. Navin was chosen, among other excellence criteria, because of its infrastructure free scalable solution.

Navin app won the 3rd prize in a recent internal competition in that healthcare organization. Additional medical, mall-chains and government-related venues are in business dialogue with Navin.

Navin Hospital app

P2P Mapping

P2P crowd mapping technology

Navin’s breakthrough approach relies on patented P2P crowd mapping technology that creates detailed maps automatically and with no effort required from the business or its consumers. No hardware devices are needed. With P2P crowd mapping, there is finally a scalable solution that uses the crowd’s power with its millions of cellphones to map and monitor the world’s indoor spaces in real time.

P2P crowd mapping

We spend 90% of our time and 80% of our money indoors. Over 50% of searches conducted on mobile – with local intent.

Current indoor location technologies are inaccurate. Emerging (accurate) indoor location technologies are not scalable. With millions of indoor venues globally, scalability is key. P2Pcrowd mapping offers scalability and accuracy and will be deployed globally within few years.

How it works

The technology anonymously tracks people’s location using sensors on their cellphones, incrementally creating big data movement patterns from millions of data points and automatically inferring the location’s map from the data. Navin’s servers then use analytics to detect crowd movement patterns. The technology relies on patented algorithms that generate maps from many different individual data points, using cellphone’s sensors and graph connectivity methods.