Startup Name: Elorian

Industry: Artificial Intelligence

Region: United States

Amount (USD): $55 million

The problem it is solving: Most AI systems rely on translating visual data into text before reasoning, which limits their ability to understand complex spatial relationships and real-world environments. This creates challenges in industries like robotics, manufacturing, and healthcare, where decisions depend on interpreting dynamic visual contexts. Elorian is addressing this by building native visual reasoning AI, enabling machines to directly understand and reason about visual inputs without relying on text-based intermediaries—improving accuracy and decision-making in real-world environments.

What the Funds Will Be Spent On: Expanding research and engineering teams. Scaling compute infrastructure for model training. Advancing development of visual reasoning AI systems. Running real-world pilots with industrial partners (e.g., robotics, manufacturing). Preparing for the release of its first public reasoning model.

Startup Name: Q-Factor

Industry: Quantum Computing

Region: Israel

Amount (USD): $24 million

The problem it is solving: Quantum computing faces a major scalability challenge, as current systems struggle to maintain stable and error-free qubits at scale. This limits their ability to deliver meaningful real-world applications. Q-Factor is addressing this by developing a quantum computer based on neutral atom technology, which offers greater stability and the potential to scale to thousands or even millions of qubits. The company aims to overcome architectural bottlenecks that currently prevent quantum systems from reaching commercial viability.

What the Funds Will Be Spent On: Advancing the development of its neutral atom quantum computing architecture. Scaling qubit systems toward large-scale, stable performance. Expanding research and engineering teams. Commercialising academic research from leading institutions.

Startup Name: Pillar

Industry: Fintech

Region: United States

Amount (USD): $20 million

The problem it is solving: Commodity-driven businesses—such as those in metals, agriculture, and aviation—face significant financial risk due to volatile prices, foreign exchange fluctuations, and freight costs. However, advanced risk management tools (like hedging) are often complex, manual, and inaccessible to smaller companies. Pillar addresses this by automating hedging processes using AI, enabling businesses to continuously monitor risk exposure and dynamically adjust their positions—turning risk management into an always-on, autonomous system.

What the Funds Will Be Spent On: Enhancing its AI-powered risk management and hedging platform. Expanding product capabilities for real-time exposure analysis. Scaling customer adoption among SMEs in commodity-driven industries. Growing engineering and product teams.