Led · Seed · Apr 2026

Q-Factor was founded in 2026 by four leading physicists from the Weizmann Institute of Science and the Technion and had operated in stealth before its public emergence. The company is developing a full-scale quantum computer using neutral atom technology and says it has identified architectural bottlenecks in existing systems. Its stated goal is to enable continuous scalability of neutral-atom systems toward and beyond one million qubits. Founders include Prof. Nir Davidson, Prof. Ofer Firstenberg, Prof. Yoav Sagi, and Dr. Guy Raz, bringing deep academic and technical leadership to the venture. Q-Factor is backed by a $24 million Seed round and a grant from the Israel Innovation Authority, and counts institutional investors and the founders' academic institutions among its shareholders.

Participated · Series A · Jul 2025

Qedma’s core product, QESEM, analyzes noise patterns to suppress some errors during execution and mitigate others in post-processing, enabling larger quantum circuits to run more accurately on today’s machines. The company says its approach can support circuits up to 1,000 times larger without requiring hardware-level error correction or additional qubits, and it is hardware-agnostic. Qedma has been made available through IBM’s Qiskit Functions Catalog since last September and has run demos on IonQ’s Aria; it also presented joint work with Japan’s RIKEN. The team is roughly 40 people today and plans to grow to 50–60 using proceeds from the recent round, hiring researchers, software engineers, and marketing and sales staff. Qedma has an evaluation agreement with an unnamed partner described as “the largest company in the market,” and its founders include CEO Asif Sinay, CSO Dorit Aharonov, and CTO Netanel Lindner. The company positions its software as a pragmatic path toward demonstrating quantum advantage before large-scale, fault-tolerant hardware arrives.

Participated · Series B · Apr 2024

Dot Compliance provides a ready-to-use, AI-enabled quality management system built on the Salesforce.com platform. Its suite includes an extensive set of off-the-shelf QMS and compliance pre-configured practice processes, enabling customers to deploy quickly and cost effectively. The solutions are used by life sciences companies both large and small and are fully compliant with 21 CFR part 11, EU-Annex 11 and support ISO 9001, 13485, 14791 and 27001. Led by founder and CEO Doron Sitbon, the company says it is transforming into a data company and aims to create a new category of AI-driven compliance. It plans to use the new funding to accelerate its AI software solutions, drive continued product innovation and customer acquisition, and meet escalating market demand. The Series B extension increased the company’s total raised to $50M. Dot Compliance provides a Quality Management System built on the Salesforce.com platform, offering an off-the-shelf suite of pre-configured QMS and compliance best-practice processes that customers can deploy quickly and cost-effectively. Its Dot Compliance Suite supports regulatory and quality standards including full compliance with 21 CFR part 11 and EU‑Annex 11 and support for ISO 9001, 13485, 14791 and 27001. The company’s solutions are used by life sciences companies worldwide and serve more than 200,000 users. Dot Compliance intends to use the new funds to drive business expansion and further develop its quality and compliance solutions for pharmaceutical and medical device companies. The company was founded in 2015 by Doron Sitbon and operates from Phoenix, AZ and Rehovot, Israel.

Participated · Series B · Nov 2023

Tabnine builds generative AI tools for the software development lifecycle, including Tabnine Chat, an AI code assistant that writes code and answers questions about organizations' codebases. Founded in 2012 by Dror Weiss and Eran Yahav, the company offers integration of first- and third-party models and supports on-premises or virtual private cloud deployments. Tabnine emphasizes control and personalization, using curated datasets and customer-trained private models to reduce legal and IP risk. The platform claims to have over a million users and 10,000 customers. Proceeds from the recent Series B will be used to expand its generative coding capabilities and to build out sales and global support teams. Tabnine expects to grow headcount from roughly 60 employees today to about 150 by year-end and has raised $55 million to date. Tabnine builds an AI-powered assistant that provides per-keystroke suggestions and full-line or function recommendations across IDEs such as VSCode, IntelliJ, Android Studio and Eclipse. Its platform uses small, code-native AI models trained on specific programming languages and also offers community models created by ecosystem partners. Developers can run Tabnine locally, in Tabnine's cloud, or on self-hosted installations, and the product integrates with GitHub, GitLab and BitBucket. The company says over one million developers use Tabnine to complete more than 4 million lines of code every day, and it counts thousands of paying customers including Accenture and LG. Management plans to use new proceeds to improve the developer experience, add capabilities and strengthen Tabnine’s enterprise offering, and intends to expand headcount across the U.S. and Israel from about 30 to over 40 employees. Tabnine faces competition from tools like GitHub Copilot, Ponicode and DeepCode as it aims to continue differentiating its code-native approach.

Led · Seed · Jun 2023

Kodem analyzes applications' runtime data and runs models to understand what else is running alongside each application, then merges and sorts that data to surface only security alerts relevant to an organization’s particular stack. The platform is designed to reduce noisy, irrelevant alerts—Kodem says its process cuts alerts by 95% and estimates under 10% of software is used at runtime and under 5% of runtime software is vulnerable. The company emerged from stealth and has been using its funding to build and launch its cloud-native platform globally. Kodem was founded in 2021 by former NSO Group security researchers and emphasizes protecting enterprises as they move workloads to the cloud. It already has customers in financial services, insurance, and technology.