HEROZ
Financials
Estimates*
JPY | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 |
---|---|---|---|---|---|---|---|
Revenues | 1.6b | 1.5b | 3.0b | 4.8b | 5.7b | 6.3b | 7.0b |
% growth | 1 % | (5 %) | 101 % | 62 % | 18 % | 11 % | 11 % |
EBITDA | 374m | 188m | 496m | 1.7b | 1.2b | 1.4b | - |
% EBITDA margin | 24 % | 13 % | 17 % | 34 % | 21 % | 22 % | - |
Profit | 207m | 49.4m | (574m) | (1.1b) | 275m | 390m | 200m |
% profit margin | 13 % | 3 % | (19 %) | (23 %) | 5 % | 6 % | 3 % |
EV / revenue | - | - | 5.1x | 4.2x | 2.9x | 2.6x | 2.3x |
EV / EBITDA | - | - | 30.4x | 12.2x | 13.6x | 11.6x | - |
Date | Investors | Amount | Round |
---|---|---|---|
N/A | Seed | ||
JPY100m | Seed | ||
JPY50.0m | Late VC | ||
N/A | JPY316m | Early VC | |
N/A | N/A | IPO | |
Total Funding | €3.3m |
Related Content
Recent News about HEROZ
EditHEROZ, founded by an amateur Grandmaster of Japanese chess, specializes in artificial intelligence (AI) technology. The company has developed a proprietary AI system named HEROZ Kishin, which incorporates advanced machine learning and deep learning techniques. Initially focused on AI for board games like Japanese Chess, Chess, Backgammon, and Go, HEROZ has expanded its technology to address complex issues in various industries.
HEROZ serves a diverse range of clients, including businesses in sectors such as finance, healthcare, and logistics. The company operates in the AI and machine learning market, which is rapidly growing due to increasing demand for intelligent automation and data-driven decision-making.
HEROZ's business model revolves around providing AI-driven solutions and services to its clients. The company generates revenue through licensing its AI technology, offering consulting services, and developing custom AI applications tailored to specific industry needs.
By leveraging its cutting-edge AI capabilities, HEROZ aims to solve difficult real-world problems, thereby creating significant value for its clients.
Keywords: AI, machine learning, deep learning, HEROZ Kishin, board games, finance, healthcare, logistics, intelligent automation, data-driven decision-making.