• Unleash the power of multi-screen advertising

  • Target your users everywhere

  • Enabling cross channel analytics and attribution

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About us

Users spend their time on multiple devices.
Crosswise helps you target your audience wherever they are - PC, Tablet, Mobile, and TV.

How does it work?

Crosswise uses big data, machine learning and proprietary algorithms to build the worlds most comprehensive and accurate device graph. Our technology links a phone, pc, tablet and TV to a single user without using any personally identifiable information and in compliance with industry privacy standards.

Our Service

We provide access to our proprietary device graph to DSPs, retargeters, DMPs, attribution providers and analytics companies amongst others. Our mission is to provide our customers with the ability to add cross device capabilities to their existing business in a simple and cost effective manner.

Desktop-to-mobile sync

We provide DSPs and retargeters with the ability to know which mobile device belongs to a visitor to your site.

Mobile-to-desktop sync

We provide DSPs and retargeters a service that allows them to receive desktop introductions to users that they find interesting on mobile.

Our Technology

Our cross device identification technology can be used for:

Cross Device Retargeting

Find your users wherever they go. We enable you to target the same exact users across their different devices.

Cross Device Campaigns

You want consistent messaging delivered to your users across all of their devices, but how? Crosswise is the answer.

Accurate Analytics

Providing a service to millions of devices but you're in the dark concerning your actual user reach? Crosswise allows you to see beyond the mere device.

Better Attribution

In today's multi-screen world a single conversion can be traced back to multiple devices yet you are unable to see the bigger picture, we enable just that.

Meet our team

Steve Glanz

Steve Glanz

Co-Founder & CEO

Steven has over 13 years of experience in the Hi-Tech industry and has held business leadership positions at some of Israel’s most successful companies including Shopping.com, Conduit and myThings. Steven has a JD from Harvard Law School and began his career as a management consultant for Booz Allen.

Jonathan Seidner

Jonathan Seidner

Co-Founder & CTO

Jonathan has been working in the Hi-Tech industry for over 10 years in companies such as myThings and Convertro where he has led the development of several products and managed various development teams. Jonathan specializes in ad technology and big data. Jonathan also served in the elite 8200 Israeli intelligence unit, in which he acquired years of experience with dealing with large scale databases.

Ron Reiter

Ron Reiter

Co-Founder & VP R&D

Ron has been working in the Hi-Tech industry for over 10 years in companies such as Neocleus, Any.DO and PrimeSense. Ron specializes in web development & architecture, developing scalable systems and security and is also a mentor at Google Campus where he helps start-ups choose the right architecture for their product. Ron served in the elite 8200 Israeli intelligence unit in the fields of web security and operating systems.

Amit Moran

Amit Moran

Chief Data Scientist

Amit has worked with data for more than a decade now. Specializing in finding patterns and hidden truths, Amit's research experience spans many areas including image and signal processing (at Applied Materials), data mining, information retrieval and text analysis (at Aol), and personalization and recommendation systems (at Sears Israel).
At Crosswise Amit is Chief Data Scientist and Senior Researcher. He is responsible for designing the core algorithm behind the Crosswise product.

Ely Porat

Ely Porat

Principal Data Scientist

Ely Porat completed his PhD in 2001, at the age of 21. Thereafter, in parallel to acting as section head of a research group during his extended military service, he was an Assistant Professor at BIU and became an Associate Professor when he was 27 years old. To date, he is the youngest professor in Israel. His primary research field is pattern matching, but he has also worked on streaming algorithms, data structures, coding theory, group testing, compressed sensing and game theory. A big part of his work is interdisciplinary, and he has combined methods from different areas on more than one occasion.

Sharon Wulff

Sharon Wulff

Senior Data Scientist

Sharon obtained a PhD in the field of Machine learning from the ETH technological institute in Zurich, Switzerland. Her research interests and publications include inference and optimization of structured output prediction models, bi-clustering and active learning. Through several collaborations with industry partners and external labs, she demonstrated the applicability of machine learning techniques in devising competitive and scalable solutions to real-world problems.
Prior to her doctoral studies Sharon worked as a software engineer at CheckPoint and Intel. Sharon has an M.Sc. in computer science specializing on theoretical machine learning from the University of Waterloo.

Or Kaplan

Roy Degani

Senior Data Scientist

Roy has over 5 years of experience analyzing complex data. This includes physical science projects, state predictions of chaotic dynamical systems and analysis of attractor dimensionality, investigation of propagating waves through the motor cortex and an M.Sc project aimed at finding patterns in the joint activity patterns in networks of neurons. Roy holds a B.Sc in physics from the Hebrew University, and an M.Sc from the Weizmann Institute. Roy served in the elite Unit 8200 in the intelligence corps.

Or Kaplan

Or Kaplan

Big Data & Full-Stack Hacker

With more than 10 years of experience in the Hi-Tech industry, Or specializes in high availability and scalable software engineering. Or holds a Bachelors degree in Computer Science and Electrical engineering from Tel-Aviv University. Prior to Crosswise Or worked at Microsoft on the recommendation engine for the Windows store and location based services involving many big data techniques. Or served in the elite 8200 Israeli intelligence unit.
At Crosswise, Or leads the offline pipeline infrastructure development.

Evgeny Shulman

Evgeny Shulman

Data Architect

Evgeny has been working in the technology industry for over 10 years in many different positions and areas including low level drivers and high availability servers, flow automation and machine learning systems. Evgeny brings specific experience to Crosswise from the retargeting industry and understands how big data drives results in adtech. Evgeny served in the elite 8200 Israeli intelligence unit.
At Crosswise, Evgeny is responsible for planning the architecture that enables the Crosswise product to process terabytes of data efficiently.

Boaz Menuhin

Boaz Menuhin

Software Engineer

Boaz has been programming since his Bar Mitzvah. He has worked for Hi-Tech companies such as Cellebrite and Gita where he developed and researched security related products. He likes assembly and computer science related riddles. Boaz served in the elite 8200 Israeli intelligence unit.

Josh Wexler

Josh Wexler

Board Member

Josh Wexler is a serial entrepreneur and business builder. Currently Josh is the EVP & Head of Buyer Cloud at Rubicon Project (NYSE: RUBI) where he is responsible for the Rubicon Project’s buyer technology, revenue, strategy, and operations globally. After joining the Rubicon Project in May 2008, Josh helped build the company from a start up with 40 employees, to a publicly traded 400+ employee company with 10 global offices, and one of the largest independent technology platforms in the advertising industry. Josh is considered an adtech industry leader and has presented at numerous industry events including ad:tech, Digiday and IAB MIXX.

We are hiring!

We are looking for talented engineers who like solving big problems in a massive scale.


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Crosswise provides innovative cross device data solutions for DSPs, retargeters, ad networks, agencies, advertisers, publishers and data owners.

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