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Eyal Bino, Partner at ICONYC labs

Eyal Bino

Partner @ ICONYC labs

New York, United States

Eyal Bino is a seed investor at ICONYC labs in New York focused on Artificial Intelligence and Big Data. I am a Founding Partner at 97212 Ventures, a NY-based seed fund exclusively focused on investing in Israeli startups and helping them build a global business via NYC. Previously, I co-founded ICONYC labs, a value-add investor and accelerator for early-stage Israeli tech startups looking to become successful global companies. Formerly, I was alsoa Venture Partner at B Capital, a global VC focused on leading growth rounds of game changing startups, while providing a launch pad for groundbreaking entrepreneurs post funding to truly optimize growth.

Total investments:
6
Last investment:
Lead investor:
67%

Last updated:

Industries Eyal Bino invests in

Artificial IntelligenceBig DataAnalyticsMachine LearningInternet of Things

Stages Eyal Bino invests in

SeedPre-Seed

Countries Eyal Bino invests in

IsraelGermanyUnited States

Contacts

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Personal email
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Investment Focus

Industry

  • Artificial Intelligence 3 (50%)
  • Big Data 2 (33%)
  • Analytics 2 (33%)
  • Machine Learning 2 (33%)
  • Internet of Things 2 (33%)
See all 26 industries →

Stage

  • Seed 5 (83%)
  • Pre-Seed 1 (17%)

Country

  • Israel 4 (67%)
  • Germany 1 (17%)
  • United States 1 (17%)

Investments

CompanyDescriptionRoundLinks
Paraspot enables companies in the field of real estate to conduct automatic inspections free of human error, by using computer vision. Moving the physical visits, online. $1.3M / Seed / Mar 08, 2024
Cyngular's ClouDFIR (Digital Forensics Incident Response) is a SaaS B2B Cloud Hunting, Investigation, and Response platform (CIRA by Gartner). Pre-Seed / Oct 25, 2022
Gaonic is developing Open Sense Platform (OSP:tm:), a real time IoT cloud-based data brokerage platform for sensors data and analytics that facilitates the setting up, management and analytics in real time of Smart Entities. OSP uses modular open platform architecture for managing human-machine communications to build knowledge-based platform toenhance quality of services in different business segments at any network level, self-learning capabilities enabling any sensor to join to the OSP and optimization control to process the sensors per defined application.Due to the open nature of Gaonic’s platform, various stakeholders and user-segments can define different requirements to jointly manage resources, share information, build and maintain complete networks, grids and operational ecosystems in both routine and critical-event situations to help use a very well sophisticate IoT platform for deep analytics. Seed / May 01, 2015
DandyLoop is a cross-promotion marketplace for eCommerce sites. By mutually promoting each other in a controlled and relevant way, DandyLoop stores tap into a new marketplace where traffic is shared and not acquired through paid channels. Seed / May 01, 2015
FLUX is an open architecture, blockchain-based solution for harvesting environmental data. FLUX uses data harvesting, machine learning, decentralization storage and intelligence (AI) to optimize conditions in a variety of applications ranging from agriculture and aquaculture to industrial application. Seed / May 01, 2015
Clickspree is a company that developed the most comprehensive solution for video analytics and optimization, allowing brands, video content marketers & creators to optimize their performance and metrics. Clickspree uses computer vision, user behavior and machine learning, to create actionable insights and predictions that drive measurablehigher viewer engagement. The technology is a practical implementation of behavioral science theory, powered by computer vision and machine learning. Clickspree extracts and measures data from each individual viewing session, dynamically building models about the behavioral and psychological factors that influence engagement for each marketing audience. Those models then generate actionable insights in the form of new segments, graphs, viewer scoring, and ways that increase engagement and boost conversion.clickspree integration requires no IT efforts and literally takes seconds. Seed / May 01, 2015

Co-Investors

ICONYC labs

About ICONYC labs

VC Fund · New York, United States

ICONYC labs is a accelerator firm specializes in early-stage and startups. It invests in early-stage Israeli tech startups looking to accelerate growth and cut time to market. ICONYC seeks investments in Enterprise Software, Internet of Things (IoT), Artificial Intelligence (AI), Digital Health, Drones, Fintech, Digital Media. Arie Abecassis andEyal Bino founded it on March 29, 2015, with its headquarters in New York City.

ICONYC labs Contacts

NameEmailPhoneSocials
Arie Abecassis
Arie Abecassis Co-Founder
Eyal Bino
Eyal Bino Partner
Scott Shane
Scott Shane Mentor and Fund LP

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FAQ

What does Eyal Bino invest in?

Eyal Bino invests primarily in Artificial Intelligence, Big Data and Analytics startups, most often at Seed and Pre-Seed stage. Most of the 6 investments tracked by Shizune back companies in Israel. The Investment Focus section breaks down every industry, stage and country in the portfolio.

How do I contact Eyal Bino?

Public channels for Eyal Bino include LinkedIn, X (Twitter) and the website linked on this profile. For a verified work email and phone number, create a free Shizune account — contact data is searched across 20+ sources and validated before delivery, so your outreach lands in the right inbox.

When did Eyal Bino last invest?

The most recent investment recorded for Eyal Bino closed in Mar 2024. Shizune tracks 6 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.

Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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