Finrsch is a technology platform that aims to help investors and listed companies better connect and understand each other, starting with Japan. Finrsch aims to achieve this by leveraging artificial intelligence to achieve research coverage of almost all listed companies, while providing such listed companies the IR and market AI tools that enables them to interact with the global investors, and offering investors the AI tools to parse, track and analyse their corporate access activities. US market coverage is expected to come in 2026.
There are more than 4000 listed companies in Japan, yet investment banks tend to cover only around 10% or less of them using the traditional approach - and this is a global reality. The reports are aimed at helping people better parse information by providing them with the analytics and tools to do so. The content provided on this platform is generated by AI models based on publicly available information only. The research reports do not have recommendations, and are meant only to help investors get started to better understand the relevant companies.
Artificial intelligence learns just like people do, but it can do it a lot faster and at a very large scale. As such, Finrsch will focus on continuously improving its reports in time by improving the use of the most advanced artificial intelligence models and logic around them. The free content on the platform only uses company disclosure data. Additional market driven analytics, such as factor/cluster analytics of market data or other data science or NLP (natural language processing) functions, will require a paid subscription, as well as access to market data API. The platform is built to work with data API from Financial Modeling Prep, and subscribers will need to get themselves a separate data subscription from them if they’d like to enable the market data based functionality. Please find below a short overview of the services on Finrsch platform.
The platform will offer free company research reports - basic registration required though. Initially all reports will have the same content structure:
Finrsch aims to enable industry specific reports by the end of 2025, where there will be additional items in the contents of individual companies, such as monthly numbers for many of the retail companies, or drug descriptions for the pharma/bio-pharma companies. The paid subscription level will give people access to additional live analytics functions that require separate computational resources as well as a separate market data access from FMP, such market thematics analysis, market factor analysis, integration with US disclosure and transcripts analytics to enable global market trends and data analytics, ability to communicate to market intelligence and data.
Finrsch will also offer a wide range of services for the companies’ IR departments, ranging from market data screens and analytics for their internal use (requires external data API subscription), to AI IR Agents that can interact with investors. For the companies that bring their own market data API subscription, the platform offers market screens and functions giving the companies a holistic view on how the market trades them and their competitors, as well as access to AI Agents that can parse and analyze market events, such as M&A and buybacks.
The corporate access service on the platform is aimed at institutional investors, and aims to simplify and make the dialogue with corporations more efficient. The service works like an AI agent that is able to track company visits and notes not only for a specific company, but also across similar companies and content throughout the market, locally or globally (US for now). As a simple example, after meeting a company and saving the notes in the system, the AI agent can start its analytics work, preparing the summary of the meeting, identifying the changes versus the previous visits and creating a timeline of such changes, then overlaying with market data analytics, if market data subscription from FMP is available. Finrsch is ready to work together with investors and add specific functionality in time subject to demand.