Ricerca, Developer of Agentic ERP 'RECERQA' for Optimizing Order-to-Cash Processes, Receives Additional Investment in Series A Round
Genesia Ventures Inc. has made an additional investment in Ricerca Inc., developer of Agentic ERP 'RECERQA' which optimizes order-to-cash processes, during its Series A funding round. This investment will accelerate the growth of AI-powered ERP that promotes end-to-end digitalization of inter-company order-to-cash operations.
📋 Article Processing Timeline
- 📰 Published: April 8, 2026 at 17:10
- 🔍 Collected: April 8, 2026 at 08:30
- 🤖 AI Analyzed: April 20, 2026 at 20:59 (300h 28m after Collected)
Genesia Ventures Inc. (Representative Director: Soichi Tajima, Headquarters: Shibuya-ku, Tokyo) announced that its Genesia Venture Fund 3 (hereinafter: GV-3) has made an additional investment in the Series A round of Ricerca Inc. (Representative Director CEO: Shotaro Umeda, Headquarters: Minato-ku, Tokyo, hereinafter: Ricerca), which develops and provides Agentic ERP 'RECERQA' to optimize order-to-cash processes.
Other investors in this round include Angel Bridge Inc., New Commerce Ventures Inc., and undisclosed individual investors. Simultaneously, debt financing has been secured from Mizuho Bank, Shoko Chukin Bank, Resona Bank, Sumitomo Mitsui Banking Corporation, Joyo Bank, and Hokkoku Bank.
## Background of Investment
Inter-company order-to-cash operations (such as quotation creation, order reception/placement registration, delivery inspection, and invoicing) are fundamental operations supporting the backbone of all industries. With the introduction of ERPs since the 1990s and the widespread adoption of tools like RPA and AI-OCR in the 2010s, operations have been partially digitized. However, at the operational front, the fundamental structure where "humans read data, make judgments, and send instructions to systems" remains unchanged, leaving structural inefficiencies that hinder end-to-end digitalization.
Since its establishment in 2022, Ricerca has directly addressed this challenge, continuously refining its product through real projects with multiple companies, including major manufacturers and trading companies. Having closely observed the steady progress of the company in both business and organization since the seed round investment, we decided to make an additional investment in this Series A round.
As the social implementation of AI becomes full-fledged, the preconditions for the value required of software are rapidly changing. In an era where high value creation by AI is demanded, based on secure recording functions, Ricerca's Agentic ERP 'RECERQA' is a product that has fully adapted to the wave of technology. We believe that the domestic market for ERP and package businesses, which offer a broader range of services compared to SaaS, will continue to be enormous, and we are confident that Ricerca will play a part in reshaping its landscape.
## Business Overview
Ricerca develops and provides Agentic ERP 'RECERQA' which optimizes order-to-cash processes.
While traditional ERPs are designed on the premise that "humans operate the system," Agentic ERP reverses this premise. AI agents understand data, make judgments based on business rules, and humans concentrate on final decision-making—a shift from "System of Record" to "System of Action." Furthermore, the system is structured so that the accuracy of AI judgments continuously improves with accumulated operational performance data after implementation, gradually reducing human verification costs.
The core of RECERQA is its unique 4-layer architecture, 'Quattro'.
- **Layer 1｜QUON (Data Foundation Layer)**: AI reads forms with varying formats, languages, and notations for each business partner and normalizes them into a unified data model (ontology).
- **Layer 2｜QRAFT (Business Logic Layer)**: Business workflows and judgment bases for each industry.
Other investors in this round include Angel Bridge Inc., New Commerce Ventures Inc., and undisclosed individual investors. Simultaneously, debt financing has been secured from Mizuho Bank, Shoko Chukin Bank, Resona Bank, Sumitomo Mitsui Banking Corporation, Joyo Bank, and Hokkoku Bank.
## Background of Investment
Inter-company order-to-cash operations (such as quotation creation, order reception/placement registration, delivery inspection, and invoicing) are fundamental operations supporting the backbone of all industries. With the introduction of ERPs since the 1990s and the widespread adoption of tools like RPA and AI-OCR in the 2010s, operations have been partially digitized. However, at the operational front, the fundamental structure where "humans read data, make judgments, and send instructions to systems" remains unchanged, leaving structural inefficiencies that hinder end-to-end digitalization.
Since its establishment in 2022, Ricerca has directly addressed this challenge, continuously refining its product through real projects with multiple companies, including major manufacturers and trading companies. Having closely observed the steady progress of the company in both business and organization since the seed round investment, we decided to make an additional investment in this Series A round.
As the social implementation of AI becomes full-fledged, the preconditions for the value required of software are rapidly changing. In an era where high value creation by AI is demanded, based on secure recording functions, Ricerca's Agentic ERP 'RECERQA' is a product that has fully adapted to the wave of technology. We believe that the domestic market for ERP and package businesses, which offer a broader range of services compared to SaaS, will continue to be enormous, and we are confident that Ricerca will play a part in reshaping its landscape.
## Business Overview
Ricerca develops and provides Agentic ERP 'RECERQA' which optimizes order-to-cash processes.
While traditional ERPs are designed on the premise that "humans operate the system," Agentic ERP reverses this premise. AI agents understand data, make judgments based on business rules, and humans concentrate on final decision-making—a shift from "System of Record" to "System of Action." Furthermore, the system is structured so that the accuracy of AI judgments continuously improves with accumulated operational performance data after implementation, gradually reducing human verification costs.
The core of RECERQA is its unique 4-layer architecture, 'Quattro'.
- **Layer 1｜QUON (Data Foundation Layer)**: AI reads forms with varying formats, languages, and notations for each business partner and normalizes them into a unified data model (ontology).
- **Layer 2｜QRAFT (Business Logic Layer)**: Business workflows and judgment bases for each industry.