Here is the English translation of the provided text: CrowdChem Co., Ltd. (Headquarters: Shinagawa-ku, Tokyo; Representative: Hisaki Ikebata; hereinafter referred to as “CrowdChem”) has raised 290 million yen in a pre-Series A round led by PKSHA Algorithm Fund No. 2 Limited Partnership, with new equity investments from HIRAC FUND No. 2 Limited Partnership, Hokuriku Startup Community Fund Limited Partnership, Hokuriku Region Venture Fund Limited Partnership, and ANRI Fund No. 5 Limited Partnership.
The funds raised will be used to strengthen the algorithms and expand the data of our “CrowdChem Data Platform,” and to accelerate technology and product development.
Investors in this round:
・PKSHA Algorithm Fund No. 2 Limited Partnership
・HIRAC FUND No. 2 Limited Partnership
・Hokuriku Startup Community Fund Limited Partnership
・Hokuriku Region Venture Fund Limited Partnership
・ANRI Fund No. 5 Limited Partnership
Background and Purpose of the Fundraising
Since the release of the “CrowdChem Data Platform,” there has been an increase and expansion in customized analysis projects using proprietary algorithms, and we have also seen growing interest from overseas. Therefore, we conducted this fundraising round to further strengthen our data expansion prediction models, enhance operations, and establish an overseas data collection team.
About CrowdChem
Founded in 2022, CrowdChem launched the “CrowdChem Data Platform” on June 15, 2023, to address challenges faced by the chemical-related industries.
Company Website: https://crowdchem.net/en/
About the CrowdChem Data Platform
The “CrowdChem Data Platform” provides insights and knowledge in the chemical field based on data independently collected by the company. The platform includes features such as material property prediction and recommendation functions, which facilitate the work of users in the chemical industry and foster new discoveries in the research & development field.
The platform also integrates proprietary machine learning models capable of learning from various fields’ patents and papers, allowing users to incorporate information on raw material compositions, process conditions, and equipment details as input data.For example, in the field of lithium-ion batteries, the machine learning model can connect a series of processes, from electrode structure to electrolyte composition and cycle test results.
CrowdChem’s Proprietary Algorithms and Implementation Track Record
Our technology is unique in that it can learn data from diverse fields, such as paints and cosmetics, simultaneously, and predict the potential for repurposing raw materials and processes used in other fields.
We believe this technology contributes to promoting research and development and sales activities of chemical manufacturers and the utilization of materials in the automotive, cosmetics, and semiconductor industries.
This technology has been highly evaluated for its potential and is already being utilized for material research and development and application exploration by major chemical manufacturers. It is also being used in research and development by automotive manufacturers.
The following article introduces a case study of epoxy resin selection using the “AI Product Exploration Function” featured in the “CrowdChem Data Platform.”
Please check it out.
▼ Which is the optimal epoxy resin? A case study using AI product exploration
https://crowdchem.net/usecase/913/
Future Outlook
In October 2024, we plan to carry out a large-scale renewal of the analysis services that have been provided as “Customized Services” up to now.
[Key Points of the New Service]
・Implementation of an experimental database included in the patent
・Proposal of new material formulations presented in a ranked format
・Provides reports in a short period without the need for existing data
Hisaki Ikebata, CEO of CrowdChem
We are truly grateful for your investment in our company. Our product is built on a technology that is unparalleled globally and is expected to be utilized not only in Japan but around the world. This funding marks a significant milestone for us and is highly meaningful to the team. We have already collaborated with major domestic companies and received positive evaluations, confirming that we are on the right track. Moving forward, we will use this funding to build a scalable framework, add new features, and enhance performance, so that more companies can benefit from our solutions, here in Japan and the rest of the world.
[Company Overview]
Company Name: CrowdChem Co., Ltd.
Headquarters: 302 Hiromachi Factory Apartment, 1-5-28 Hiromachi, Shinagawa-ku, Tokyo, Japan
CEO: Hisaki Ikebata
Business Activities:
・Development, sales, and provision of software
・Provision of data analysis services
・Provision of consulting services
・Established: January 2022
Website: https://crowdchem.net/en/
CrowdChem Data Platform Introduction Site: https://lp.crowdchem.net/crowdchem-data-platform
