Elron Ventures and Rafael Commit Up to $300 Million for Dual Use Defense Acquisitions

Jun 1, 2026
Elron Ventures and Rafael Advanced Defense Systems have announced a capital commitment of up to $300 million for their joint venture RDC to pursue mergers and acquisitions of dual use defense technology companies over the next three years.

Elron Ventures Ltd. and Rafael Advanced Defense Systems Ltd. have announced a capital commitment of up to $300 million for their joint venture, Rafael Development Corporation (RDC), to execute a mergers and acquisitions strategy focused on dual use defense technology companies. The plan was announced in a press release and will be funded equally by both companies over approximately three years, pending approval by Rafael’s Board of Directors.

An initial allocation of $100 million is expected, subject to budget approval. The strategy aims to acquire controlling stakes in technology firms that serve both defense and civilian markets, while continuing investment activity across cybersecurity, deep tech, defense technology, and AI sectors.

Through RDC, Elron and Rafael intend to combine Rafael’s engineering and operational expertise with Elron’s investment and company building capabilities. The partnership provides access to technologies developed within Rafael and supports their commercialization in civilian markets. The majority of the planned activity will focus on dual use applications and technology ventures with potential synergies in defense and commercial sectors.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI Funding Brief, Defense AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Defense AI Brief

Your weekly intelligence briefing on the technology shaping modern warfare and national security.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.