Top 10 Emerging Artificial Intelligence Startups in Israel

Top 10 Emerging Artificial Intelligence Startups in Israel

Israel’s AI Startup Landscape is Propelling the Country Ahead in the Global AI Race

Artificial intelligence (AI) has become ubiquitous across the industry verticals. From boardroom discussion to a trending topic in news, artificial intelligence has managed to capture the attention of every tech enthusiast worldwide. With organizations cashing the benefits of its application, this tech discipline has managed to live up to its hype.

While the tech war between USA, China, European Union and other prominent nations escalates, Israel too aims to lead the race. Some surveys have found that Israel ranks among the top 5 countries in the world for AI solutions. Further, it has more AI companies and startups per capita than the market leader USA. Tel Aviv is emerging as a popular artificial intelligence city hub and is at par with the likes of Silicon Valley, London and Beijing. Its close network of universities, access to the Asian and American capital markets, close cooperation with the military and the government, help Israel to rise to the status of a strong AI player in market.

Overview of Israel’s AI Market

As per one research, Israel’s AI ecosystem that grew from 512 companies in 2014 to 1,150 by the end of 2018 – a 120% increase in a span of 4 years. This includes companies that develop core artificial intelligence technologies and the ones that utilize it for their vertical-related products and services. Even the international tech behemoths are either investing in Israel’s AI market or establishing unit/labs there. In 2019, the Israel Innovation Authority provided grants to 219 companies working on AI technologies for a total sum of roughly 415 million shekels. These grants were mostly provided for artificial intelligence infrastructure projects and in sectors underfunded by private investment. In the same year, it adopted ethics guidelines for responsible R&D in AI as a member of the OECD.

While the nation is taking pre-requisite steps to boost the AI industry in terms of innovation, skilling and revenue, let’s have a look at some promising startup companies in the region. Analytics Insight has complied a list of Top 10 emerging artificial intelligence startups in Israel using an analysis of companies mentioned in Crunchbase and Glassdoor. If we missed any prominent names, drop a comment to let us know.

Airobotics

Airobotics offers an end-to-end and fully automatic solution for collecting aerial data and gaining invaluable insights. The startup blends expertise in aerospace hardware design, robust electronic systems, leading software engineering, and years of experience in commercial drone operations. This varied experience has allowed them to design a solution suited to address the needs of the world’s most complex industrial environments such as mining, seaports and oil & gas.

Cortica

Cortica has developed autonomous AI that simulates the natural processes of the mammal cortex to understand how the brain “encodes” digital images. Based on this technology, it provides AI and computer-vision solutions for autonomous driving, facial recognition and general visual recognition in real time and at large scale for smart cities, medical imaging, photo management and autonomous vehicles.

Gong.io

Gong.io enables revenue teams to realize their fullest potential by unveiling customer reality. Its patented Gong Revenue Intelligence Platform captures and understands every customer interaction then delivers insights at scale, empowering revenue teams to make decisions based on data instead of opinions. It does that by dissecting hundreds of parameters in each call to get a more objective breakdown of what tactics are effective, with the aim of improving deal conversion.

Leadspace

Leadspace helps companies take back control of their marketing and sales data with its leading artificial intelligent B2B Customer Data Platform. It integrates with all popular CRM platforms and leverages artificial intelligence to help drive more pipelines and generate better quality leads. This helps its client get smart, applying a deep and unique understanding of B2B personas for more effective scoring, targeting, and insights.

Logz.io

Logz.io provides a scalable and intelligent machine data analytics platform built on ELK and Grafana for monitoring modern applications. Logz.io platform consists of four products—Log Management, Infrastructure Monitoring, Distributed Tracing, and Cloud SIEM — that work together to unify the jobs of monitoring, troubleshooting, and security. Its cloud-based technology also uses predictive analytics and machine-learning algorithms to flag issues.

Nexar

Nexar’s AI dashboard cam app provides documentation, recorded video, and situational reconstruction in case of an accident. The startup employs machine vision and sensor fusion algorithms, leveraging the built-in sensors on iOS and Android phones. Using this vehicle-to-vehicle network, Nexar also can warn of dangerous situations beyond the driver’s line of sight.

SentinelOne

SentinelOne aims to solve the challenge of endpoint security for mobile employees who need to connect to a company’s network, as well as cloud servers, personal communications services and IoT devices. Its AI-based platform analyzes data in real-time to identify anomalies and provide a response to attacks.  It offers machine learning-based solution for monitoring and securing laptops, phones, containerized applications and the many other devices and services connected to a network.

Tabnine

Formerly known as Codota, it aims to help software developer code faster and smarter with artificial intelligence, by autocompleting strings of code, which makes development more productive, less error-prone, and much more fun. The startup feeds open-source code to an artificial intelligence algorithm to learn code patterns and suggest lines of tested debugged code from working programs.

Voiceitt

Voiceitt is speech recognition startup and social enterprise that has developed a proprietary automatic speech recognition (ASR) technology that translates non-standard speech patterns into clear speech in real time, enabling children and adults with severe speech impairments and disabilities to access mainstream voice activated technologies and devices.

Zebra Medical Vision

Zebra Medical Vision’s Imaging Analytics Platform allows healthcare institutions to identify patients at risk of disease and offer preventative treatment pathways to improve patient care. The company’s AI solutions analyze millions of clinical imaging data in real-time, detecting various medical indications, enabling it to be the only AI Medical Imaging company with such a wide range of products. It has secured multiple regulatory approvals, such as FDA and CE marks and is installed in hospitals globally.

Published at Sat, 06 Mar 2021 08:26:15 +0000

Are Portfolio Managers in Danger of Being Replaced by Artificial Intelligence?

Are Portfolio Managers in Danger of Being Replaced by Artificial Intelligence? Could Algorithm Trading Rule the Future Markets? 
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Screenshot From Pxhere Official Website
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Artificial Intelligence or AI poker players and chess players have already proven very capable of beating human masters. What would stop the AI from doing exactly the same with the financial markets? What would happen to the world if AI would become portfolio players?

AI trading in financial markets

According to the story by HackerNoon, to some extent, it already has done so even though the general investment success still strongly relies on human interactions. In fact, there are very few industries that actually depend on the employee’s decisions as much as the whole financial markets. With AI, are these particular human decisions being overwritten by proper machine learning?

The reality is that generally, “algorithm trading” has already successfully impinged the market, exacerbating the whole exclusive Dow Jones plummet of a whoppint 700 points in just 20 minutes back in Feb 2018. Both traders and analysts had agreed that the whole growing speed of algorithm trading models as well as automated sell orders have impacted the full collapse that day.

Benefits of AI algorithms

There are also a number of positive roles that AI is able to play in the whole financial industry. AI algorithms can reportedly reduce risk, manage fraud, detect, improve the operational efficiencies, and also deliver improved customer service.

For example, there are new systems currently in place within banks as well as other financial institutes that would flag some irregular behavior on the accounts. Machine learning reportedly takes this said function to a much higher level by promptly providing information that is also much more sophisticated and even more precise.

Artificial Intelligence on customer service and operational process

The Financial Times also reported a new case of identity theft that was actually detected when the criminal utilized the scroll bar on the user’s own site. The actual user consistency reportedly used a trackpad when it came to banking online and is also based on this particular inconsistency. The bank’s AI had been able to pick up the discrepancy.

Technology efficiencies are also already in place along with a number of large finance corporations. Artificial Intelligence goes beyond the whole algorithm as it provides highly-functioning robotics for customer service and operational processes.

Read Also: Inside Clinc: The Conversational AI Startup Facing a Serious Growth Spurt in 2021

AI advances technology

The greatest intrusion as well as the biggest impact on the whole finance sector, whether it be perceived as good or bad, is that major banks as well as hedge funds are now using information gleaned from machine learning algorithms in order to advise their clients when it comes to portfolio investments.

According to an article by PWC, AI is now advancing quite rapidly in possibly every industry. Technology that is rooted in AI is now affecting the cost dynamics, introducing the whole new market participants, and also changing the long-held assumptions when it comes to the value on a particular routine basis. Some firms are reportedly using AI in order to improve the total way that they analyze securities and also make investment decisions. This is while others use it to be able to improve the core operational processes.

Related Article: Super-Intelligent AI Robots Would Be Impossible to Control, Limits Would be Harder to Set!

This article is owned by Tech Times

Written by Urian Buenconsejo

Published at Sat, 06 Mar 2021 08:15:00 +0000