Participated · Seed · Oct 2024

Early is a Tel Aviv-based startup that uses generative AI to automatically generate unit tests, helping developers catch bugs early in the development cycle. The product currently supports JavaScript and TypeScript and integrates directly with the Visual Studio Code IDE, allowing developers to see coverage and generate validated tests from within the editor. Generated tests include mocks and aim to cover happy paths and edge cases developers would otherwise code by hand. The company launched in August and positions itself more broadly as a "code quality" company rather than solely a testing vendor. Early raised funding to accelerate product development and expand its capabilities beyond unit testing. Founders include CEO and co-founder Sharon Barr and co-founder/CTO Lior Froimovich, who built the product after leaving EY Global.

Participated · Equity · Oct 2024

Nym offers an autonomous medical coding engine that leverages AI and clinical language understanding to decipher patient charts and assign diagnostic and billing codes in seconds. Its revenue-cycle-management solution produces audit-ready, traceable documentation intended to improve accuracy, efficiency, and compliance. Nym supports six specialties across inpatient and outpatient care, including emergency medicine, radiology, outpatient surgery, outpatient visits, inpatient professional coding, and urgent care. As of September 2024 the company processed over six million charts annually and has demonstrated results such as over 95% coding accuracy, up to 35% reduction in coding costs, up to 5% improved revenue capture, 50% reduced claims denials, and up to a five-day decrease in accounts receivable. Nym plans to accelerate expansion of its multi-specialty solution to support new care areas. The company is based in New York City with R&D capabilities in Tel Aviv and recently secured new growth funding to support scaling. Nym Health builds explainable AI technology that automates medical coding and billing workflows. It leverages direct-to-billing, autonomous medical coding to enable fully automated, efficient and transparent revenue cycle management, reduce insurance denials and operational expenses, accelerate payment cycles, and maximize audit readiness. The company’s platform is deployed in 40 hospitals nationwide, including Geisinger and several academic medical centers. In July 2021 it raised $25M in a funding round, bringing total funding to date to $47.5M. The company intends to use the proceeds to scale product development and accelerate adoption of its automated medical coding platform in emergency departments. Nym Health is led by CEO Amihai Neiderman and is based in New York City and Tel Aviv, Israel. Nym Health develops auditable ML and NLP-driven software that converts physician notes and electronic medical records into appropriate billing codes using clinical taxonomies. The product generates full audit trails to explain how it interpreted patient charts, which helps hospitals justify billed services to insurers. The company says its system does not change medical decision-making and cannot detect intentional fraud, but can correct improper coding that leads to lost revenue. Nym charges between $1 and $4 per chart analyzed and is already working with around 40 U.S. medical providers. The new capital will be used to expand technology development as well as sales and marketing across the U.S. The company was founded by two former members of Israel’s 8200 unit and draws on expertise in computational linguistics and clinical NLP. Nym provides an autonomous medical coding platform that leverages AI and natural language to assign medical codes automatically and in real time. Its solution assigns codes with zero human interaction and generates a transparent audit trail that explains how each code was chosen, addressing the AI black box problem. The technology is being adopted by revenue cycle management companies and healthcare providers across the United States. Founded in 2018 by Amihai Neiderman and Adam Rimon, the company operates out of Tel Aviv and has offices in Boston, MA. Nym secured $6 million in seed financing led by Bessemer Venture Partners. The company's solutions enable healthcare facilities to optimize their revenue cycle processes.

Participated · Seed · May 2022

Masterschool operates a network of online tech career-training schools offering six- to 12-month programs. Students pay no upfront tuition and instead repay after placement by giving 10% of their monthly income, with typical total tuition between $10,000 and $20,000; some employer partners will fully pay tuition for hires. Programs are immersive, requiring 25–40 hours per week of live lectures, assignments, one-on-one sessions and class meetings. Co-founders and co-CEOs Otni Levi and Miachel Shurp launched and bootstrapped the company three years ago and say Masterschool is already profitable. The company plans to scale its platform to launch thousands of career-training schools and aims to enable millions of students to build new careers. It positions itself as a network model where industry practitioners build and run individual schools on Masterschool’s platform.

Participated · Series A · Jul 2021

Connie Health is an AI-native Medicare navigation platform that combines proprietary technology with a network of local trusted agents to help seniors find and enroll in appropriate Medicare coverage. The company powers agent workflows and consumer guidance with AI and intelligent automation and positions itself as a strategic partner to Accountable Care Organizations, health systems, and risk-bearing providers. Connie recently completed its 10th acquisition, integrating Clearlink's Medicare business, and announced a $40 million Series B, bringing total funding to date to $85 million. It plans to use capital to expand its agent network, pursue additional M&A, advance its AI-driven platform, and deepen integrations with value-based care partners. Connie is headquartered in Boston and emphasizes preserving local, human-centered support while scaling through technology.

Participated · Series C · May 2021

Explorium builds a data-discovery platform that helps data practitioners and enterprises find and integrate external data to improve predictive machine-learning models. The company has seen strong commercial traction during the COVID-19 period, with CEO Maor Shlomo saying revenue quadrupled last year (no absolute figures disclosed). Explorium has been hiring rapidly, growing headcount from 87 to 130 and planning to reach about 200 by late 2021 or early 2022. It operates offices in Tel Aviv and San Mateo, California, and plans to open a New York City office when possible. Leadership plans a hybrid workplace model (roughly two days remote, three in-office as local rules allow). The company reports total funding of $127 million following the latest round. Explorium operates a data-discovery platform that helps companies find and integrate the right datasets to improve machine-learning and predictive models. CEO and co-founder Maor Shlomo describes the product as a layer where users search for data to solve business problems and fuel predictive models. The company said demand increased during the COVID-19 pandemic as historical data became less reliable and customers sought more relevant environmental data. Explorium has offices in Israel and the United States and currently employs 87 people, with plans to grow to about 100 in the coming months. Management paused hiring early in the pandemic then accelerated again as business increased in April and May. The company previously raised a $19.1M Series A and said it still had plenty of money in the bank from that round while continuing to fund growth. Explorium provides a search‑engine‑style data discovery platform that helps data scientists find and enrich datasets for machine learning models. Its core product searches internal, open, public and premium databases and connects and enriches customers' data with thousands of data sources. The platform automatically selects the best pieces of data and the most useful variables or features to improve model performance. The founders have a data‑science background and the company emphasizes improving data quality, arguing that algorithmic work has largely become commoditized. Explorium has partnered with thousands of data sources and plans to expand via partnerships with data providers and consulting firms to reach more companies. It has 63 employees across offices in Tel Aviv, Kiev and San Francisco and reports "tens of customers."