Startup Name: Onodrim Industries

Industry: Manufacturing

Region: Netherlands

Amount (USD): $47 million

The problem it is solving: Onodrim Industries addresses inefficiencies in traditional manufacturing and logistics systems, including high downtime, operational costs, and limited access to advanced automation for mid-sized manufacturers. Many industrial firms struggle to integrate AI, IoT, and predictive analytics across fragmented hardware and software systems. Onodrim aims to modernise factory infrastructure through a full-stack platform that unifies intelligent automation, smart systems, and operational optimisation.

What the Funds Will Be Spent On: Expanding product development for next-generation industrial automation. Building out engineering teams. Moving from prototype deployments to large-scale industrial rollouts. Expanding into global markets.

Startup Name: Solid

Industry: Data Infrastructure

Region: Israel

Amount (USD): $20 million

The problem it is solving: Solid addresses the challenge that large enterprises face in using artificial intelligence with their internal data. Many organisations store decades of data across fragmented and disorganised systems, making it difficult for non-technical employees to extract insights quickly. AI tools often struggle with accuracy and reliability when accessing raw enterprise data. Solid builds a validated semantic layer that organises, secures, and structures company data so AI systems can interact with it accurately and safely.

What the Funds Will Be Spent On: Expanding the sales team in the United States. Investing further in U.S. market growth. Growing the R&D team in Israel. Expanding product capabilities for enterprise clients.

Startup Name: Meridian

Industry: Fintech

Region: United States

Amount (USD): $17 million

The problem it is solving: Meridian addresses the limitations of traditional spreadsheets in high-stakes financial modelling. Institutional finance teams rely heavily on manual spreadsheet workflows that are error-prone, difficult to audit, and lack determinism when AI tools are layered on top. Large language models can introduce uncertainty or a “doubt layer” into financial outputs. Meridian replaces legacy spreadsheets with an IDE-style, agentic AI workspace that integrates data sources, ensures predictable outputs, and provides auditable financial models suitable for institutional use.

What the Funds Will Be Spent On: Developing its IDE-style AI financial modelling workspace. Enhancing auditability and determinism of AI-generated outputs. Expanding customer deployments. Scaling product capabilities for institutional finance clients.