Business Overview
Merged
Status
2010
Founded
31
Team
-6.7%
Growth (Monthly CAGR)
$25M
Funding
Series C
Funding Stage
4
# Rounds
5
# Investors
3.8 years
Time Since Last Round
Anagog is the world’s first Mobile Customer Engagement Solution with a privacy-first On-Phone design and a leader in context-relevant hyper-personalization. We help companies deliver on the promise of Hyper-Personalized Engagement, using a wide range of first party data, while keeping that data on the phone, to reassure consumers that their privacy comes first. Making it a win-win for both companies and consumers. For the first time ever, we’re running the marketing engagement and AI Engines directly on the phone, solving the ever-growing privacy issue and high cloud costs associated with hyper-personalization. While doing that, the phone is also focusing on what its owner is doing in the real-world by using the mobile device’s sensors. Placing all that intelligence on mobile phones means that companies no longer have to collect personal data, or use tracking mechanisms such as cookies or unique IDs to offer customers perfectly targeted engagement, at the exact moment. Anagog is recognized as a world leader in Edge-AI technology, on the strength of 25 patents, and is backed by top investors such as Mercedes, Porsche, Skoda, Sumitomo and Continental, to name a few. Leading Fortune-500 brands are using Anagog to deliver a new world of mobile campaigns that were impossible before, enabling them to future-proof their business around cloud dependency and privacy; allowing them to continue innovating and disrupt their markets.
Employee Count
-6.7%
1-Month CAGR
-11.6%
3-Month CAGR
-15.6%
6-Month CAGR
-28.7%
12-Month CAGR
Employee counts updated on a monthly basis.
Lists
News
Stock Chart
Founders (2)
Name | Position | Military | Classification | Contact |
---|---|---|---|---|
hiddenGil Levy | CTO | AI Expert | ||
hiddenYaron Aizenbud | COO and BD |
Board and Advisors (3)
Name | Position | Contact |
---|---|---|
hiddenEitan Naor | Managing Partner and Board Member | |
hiddenIsaac Applbaum | Partner and Board Member | |
hiddenTal Brin | Board Observer |
Revenues (0)
Funding Rounds (4)
$25M
Equity Funding
Round | Date | Capital Raised | Valuation | Investors |
---|---|---|---|---|
February 2020 | hidden$10M | 3 | ||
January 2018 | hidden$10M | 2 | ||
December 2015 | hidden$4M | 1 | ||
November 2014 | hidden$1M | 1 |
M&A Events (1)
Transaction | Date | Target/Acquirer | Consideration |
---|---|---|---|
hiddenMerger | November 2023 | hiddenAnagog |
Investors (5)
Investor | Investor Type | Location |
---|---|---|
Angel Syndicate | Israel | |
Company | Germany | |
Venture Capital | Israel | |
Company | Japan |
Patents (16)
Patent Title | Status | Date | Patent ID |
---|---|---|---|
Application | February 2019 | US-2019066250-A1 | |
Application | October 2020 | US-2020320574-A1 | |
Granted | US-10911913-B2 | ||
Application | July 2019 | US-2019210548-A1 | |
Granted | US-9501292-B2 | ||
Granted | US-10820161-B2 | ||
Application | June 2019 | US-2019197613-A1 | |
Application | September 2016 | US-2016284137-A1 | |
Granted | US-10629078-B1 | ||
Granted | US-9933450-B2 | ||
Granted | US-10229593-B2 | ||
Granted | US-10152889-B2 | ||
Application | August 2020 | WO-2020161706-A1 | |
Granted | US-9830819-B2 | ||
Granted | US-10719983-B2 | ||
Application | June 2020 | US-2020193484-A1 |
Research Publications (0)
Certifications (0)
AI Technology Stack
6
AI Team
The JedAI SDK is the industry’s first mobile-based Edge AI engine that analyzes data from the phone sensors to piece together a person’s profile and real-world daily journey and eventually even predict what that person is likely to do next.
Thanks to unique Edge AI technology, the Mobile Engagement Platform is able to recognize the users’ actions and locations by interpreting the sensor signals of their mobile phone. A campaign creator can choose to engage their audience at a moment such as “when the user is nearby a coffee shop”, or “when they have entered their place of work” or “when they are riding the train”; the potential number of Micro-Moments is endless.