Ricerca Raises 1.7 Billion JPY Series A for Agentic ERP Platform RECERQA
The AMW Read
Updates the player map for the Enterprise-Ops-AI cluster with a specialized agentic ERP entrant targeting the Japanese manufacturing vertical.
Ricerca Raises 1.7 Billion JPY Series A for Agentic ERP Platform RECERQA
Japanese AI startup Ricerca has raised a 1.7 billion JPY (approximately $11 million) Series A round, bringing its cumulative funding to over 2 billion JPY. The financing was led by Angel Bridge, with participation from Genesia Ventures, New Commerce Ventures, individual investors, and debt financing from a consortium of banks including Mizuho Bank and SMBC. The funds are allocated for product development, hiring AI engineers and Field Development Engineers (FDEs), and expanding sales to large manufacturers and trading companies. The company's product, RECERQA, is an "Agentic ERP" platform that uses a proprietary four-layer architecture named Quattro to automate and optimize procurement and order processes, from data normalization via OCR to AI-agent-driven judgment and execution.
This funding is significant as it underscores the growing market validation and venture capital interest in applied, multi-agent AI systems for core enterprise functions. Ricerca is targeting the foundational ERP space—traditionally dominated by large incumbents like SAP and Works Applications—with a specialized AI-native approach. Its focus on automating order-to-cash workflows for major Japanese manufacturers (e.g., Kao, Nittetsu Bussan, Ajinomoto AGF) and trading companies indicates a strategic push into complex, high-value enterprise operations where AI agents can directly impact efficiency and decision-making. The investment will fuel the expansion of industry-specific templates and a BPO-outcome-based pricing model, pointing to a scalable service delivery strategy.
From an expert lens, Ricerca's architecture, Quattro, which layers data normalization (QUON), business logic (QRAFT), agent judgment, and execution, represents a structured attempt to move beyond robotic process automation into autonomous, learning workflow systems. The founder's background in ERP sales at Works Applications and leading AI inside's IPO provides crucial domain and scale-up experience. The significant funding round, especially in Japan's conservative enterprise tech market, signals strong investor belief in the agentic ERP thesis. The key challenge will be achieving robust generalization across diverse corporate data and processes while managing the human-in-the-loop requirements at the execution layer. Success could redefine ERP implementation cycles and value proposition for mid-to-large enterprises.
