Ricerca Secures ¥1.7 Billion to Revolutionize Supply Chain Management with Agentic ERP

Tokyo-based startup Recerqa Inc. has finalized a 1.7 billion yen Series A funding round to transform how large-scale manufacturers and trading houses manage complex order processing. This latest injection, led by Angel Bridge and supported by major financial institutions like Mizuho Bank and SMBC, brings the company's total capital to over 2 billion yen. The investment will accelerate the deployment of their flagship product, an AI-driven platform designed to handle the structural inefficiencies of enterprise logistics.

The startup develops RECERQA, an Agentic ERP that departs from the traditional software model where humans manually input and manage records. Instead of acting as a mere System of Record, the platform functions as a System of Action by utilizing autonomous AI agents to parse unstructured documents and execute business logic. This shift allows businesses to move away from the manual verification of invoices, purchase orders, and delivery notes that typically bottlenecks supply chains.

At the heart of their solution is the Quattro architecture, which normalizes data across different formats and languages through a proprietary data foundation layer. This foundation allows AI agents to cross-reference historical data with specific industry rules to recommend or autonomously execute procurement tasks. As the system processes more transactions, its accuracy increases through a continuous feedback loop, reducing the need for human intervention over time.

Many Japanese industries still rely on aging legacy systems that are difficult to maintain and risky to replace entirely. RECERQA addresses this challenge by offering a gradual transition path, operating alongside existing systems to automate the most labor-intensive aspects of supply chain management. This allows organizations to optimize their procurement and inventory workflows without the high risk of a full-scale system migration.

CEO Shotaro Umeda plans to use the fresh capital to expand the engineering team and refine industry-specific templates for the food, chemical, and insurance sectors. The company is also scaling its forward-deployed engineering model to ensure seamless integration within enterprise environments. By combining deep domain expertise with generative AI, Ricerca aims to set a new standard for how global companies manage their core operations.