Participated · Seed · Jul 2026

Act Security was founded by Jonathan Langer, Itay Kirshenbaum, Stephen Goldberg, and Ilai Fallach, the team behind medical-device security company Medigate. The startup is building a platform designed to protect cloud infrastructure and on-premise data centers from cyber threats. Drawing on the founders’ experience in safeguarding connected medical devices, the company aims to extend similar rigorous security to broader enterprise environments. Act Security is already staffed by about 30 employees. Since launching, the company has attracted significant investor interest, amassing $60 million across two rounds. This capital positions the young firm to continue expanding its technology and team as it brings its platform to market.

Participated · Series C · Jan 2026

Datarails offers an Excel-native FinanceOS that consolidates ERP, CRM, HRIS, and spreadsheet data to become a single source of truth for the CFO's office. Its multi-product suite spans FP&A, month-end close, cash management, spend control, and newly launched Strategy, Planning, and Reporting AI Finance Agents that instantly generate analyses, forecasts, and board-ready reports. In 2025 the company recorded 70% year-over-year revenue growth and nearly doubled its workforce to more than 400 employees, reflecting strong demand for its approach. Over half of 2025 growth came from products introduced in the prior 12 months, underscoring rapid expansion beyond core FP&A. Research cited by the company shows 99% of finance professionals still rely heavily on Excel, a dynamic Datarails leverages by embedding AI directly into their existing workflows. The new capital will fund geographic expansion across North America and EMEA, increased R&D investment, and potential acquisitions. Additional products are slated for release in the coming year as the firm seeks to make AI the foundation of every finance workflow.

Participated · Series B · Jul 2025

Founded in 2018 by Aviv Shapira, Matteo Shapira, Rubi Liani and Adir Tubi, XTEND builds next-generation autonomous platforms that allow operators to remotely control aerial, ground and maritime drones through its proprietary XOS operating system. The technology is designed to keep personnel out of harm’s way while executing complex, dynamic tasks for defense, public safety and private security customers. XTEND’s field-proven systems are already deployed and the company plans to scale NDAA-compliant domestic manufacturing at its Tampa, Florida facility. Proceeds from its latest transaction will fund accelerated delivery to customers in the United States, NATO member states and Asia. XTEND operates in Israel, the United States and Singapore and will rebrand as XTEND AI Robotics when it lists on Nasdaq. The forthcoming public listing values the company at $1.5 billion. Roughly six months before this deal, XTEND closed a $70 million round jointly led by Protego Ventures and Aliya Capital.

Participated · Series E · Jun 2022

Vayyar develops radar-imaging "radar-on-chip" sensor technology that uses MIMO antennas to deliver high-resolution mapping of surroundings. The company began by pursuing alternative breast-cancer screening and later expanded its technology into automotive, senior care, retail, smart home, commercial property and construction, offering products such as Vayyar Care (fall detection) and the Walabot handheld sensor. It has secured partnerships and customer relationships including Amazon (Alexa Together integration), Piaggio Group deployments, supply contracts with automakers in Japan and Vietnam, and a joint venture with Haier subsidiary HCH Ventures in China. Founded in 2011 by Miri Ratner, Naftali Chayat and Raviv Melamed, Vayyar plans to introduce a family of machine-learning-powered sensor solutions targeting robotics, retail, public safety and smart buildings. The company raised $108 million in a Series E, bringing total capital raised to over $300 million, and says the latest funding values it at over $1 billion. Vayyar engaged China International Capital Corporation as lead financial adviser to support investor outreach in China and has opened a new office there. Vayyar develops 4D radar-imaging chips, sensors and the software that interprets radar-generated images to detect and track people and objects while preserving privacy. Its technology is applied across automotive and IoT use cases; the company also produces a consumer product, the Walabot handheld sensor. Customers include automotive supplier Valeo and an unnamed "major Silicon Valley company" that is integrating Vayyar tech into smart-home products. The company primarily supplies technology to partners who productize it rather than focusing on direct-to-consumer sales. Vayyar says its software and algorithms differentiate it from other radar-imaging competitors. Management expects regulatory trends (for example, automotive safety requirements around detecting children left in cars) and growing privacy concerns to accelerate demand for its solutions. Vayyar Imaging develops 3D imaging sensors that create realtime, camera-free images capable of seeing through solid objects and mapping large areas. Its technology uses an embedded chip and advanced imaging algorithms to enable sensing in privacy-sensitive locations where optics cannot be used. The sensors are being applied across sectors including smart home, automotive, retail, robotics, medical, construction and agriculture. Vayyar says its mission is to improve health, safety and quality of life worldwide, and that demand from diverse industries requires rapid scaling. Following a $45 million Series C, total capital raised to date is $79 million; the company will use proceeds to expand into new industries, grow its global team and diversify its sensing product offerings. Vayyar also markets a consumer handheld device (Walabot DIY) and planned demonstrations of its latest automotive and smart home sensors at CES 2018. Vayyar builds compact sensors that use radio waves to create 3D images of obstructed objects — from root systems and piping to tissue behind skin. The company works with chip manufacturers to deliver a reference design, tailored antennae and an API so customers can plug the sensor into phones, devices or ground‑installed instruments. Vayyar launched a board for external tinkering to accelerate use‑case discovery and is starting to roll out products more broadly as augmented reality interest grows. Targeted applications mentioned include low‑cost breast‑cancer detection, milk fat measurement during production, irrigation profiling and infrastructure inspection. The startup faces competition from ultrasound, MRI and other chip/sensor makers but positions its tech as lower‑cost and already in use by a number of companies. Financially, the company has raised $22M in the latest venture financing and has raised $34M to date.

Participated · Series C · Oct 2021

Aquant provides a service intelligence platform that ingests unstructured data and tribal knowledge, applies specialized natural language processing, and delivers contextual recommendations to service leaders, technicians, and reps. The product combines structured and unstructured data to predict solutions and surface critical business and operational insights. Aquant’s technology aims to eliminate escalations, improve first-time fixes, and make service interactions more efficient and consistent. The company works across industries including medical devices, food equipment, capital equipment, industrial automation and appliances, and counts clients such as Siemens Healthineers, The Home Depot, 3D Systems, and Sysmex. Aquant plans to use the new funding to accelerate global expansion and to grow engineering, client services, and go-to-market teams in the US, Europe and Israel. The company will also invest in continuous AI innovation and additional use cases to strengthen its position as a service intelligence leader. Aquant’s core product is a service intelligence SaaS platform that unlocks insights from scattered data silos (CRMs, ERPs) and free-text technician notes to capture subject-matter-expert knowledge and deliver prescriptive guidance to service teams. The AI analyzes free-text and validates findings with top performers so technicians and agents can resolve customer challenges like experts, while enabling service leaders to make informed decisions. Aquant says it works with large enterprise customers and lists partners and clients including Becton Dickinson, Comfort Systems, 3D Systems and Sysmex. The company plans to use new capital to accelerate global expansion, continue AI innovation, and grow engineering, client services, and go-to-market teams. In 2019 the company tripled headcount and expanded offices in New York and Tel Aviv as it grew its client list and partnerships. Financially, the company announced a $30 million Series B and said this brings total funding to $40 million in the last 14 months. Aquant provides a SaaS enterprise AI platform that leverages artificial intelligence and natural language processing for companies' CRM, Asset Management and Workforce Management data silos. Its data-driven technology mines historical data for insights, merges existing data silos and creates a centralized system for all service data and decision making. The platform is aimed at helping manufacturing and service companies improve service and operational decisions. Founded in 2016 and based in New York, the company was started by Shahar Chen and Assaf Melochna. Aquant raised $10M in a Series A and plans to use the funds to continue expanding operations and its business reach. No operating metrics were disclosed in the article.