ABEJA
Founded Year
2012Stage
Corporate Minority | AliveTotal Raised
$45.44MMissing: ABEJA's Product Demo & Case Studies
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Research containing ABEJA
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned ABEJA in 1 CB Insights research brief, most recently on Mar 3, 2020.
Expert Collections containing ABEJA
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
ABEJA is included in 5 Expert Collections, including Digital Health.
Digital Health
8,838 items
Startups recreating how healthcare is delivered
Store management tech (In-store retail tech)
1,534 items
Startups aiming to work with retailers to improve brick-and-mortar retail store operations.
AI 100
100 items
Artificial Intelligence
9,442 items
This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.
Retail Tech 100
100 items
The winners of the 2020 CB Insights Retail Tech 100, published December 2020.
ABEJA Patents
ABEJA has filed 1 patent.
The 3 most popular patent topics include:
- Artificial intelligence
- Artificial neural networks
- Classification algorithms
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
2/5/2018 | 12/20/2022 | Machine learning, Artificial neural networks, Classification algorithms, Artificial intelligence, Kernel methods for machine learning | Grant |
Application Date | 2/5/2018 |
|---|---|
Grant Date | 12/20/2022 |
Title | |
Related Topics | Machine learning, Artificial neural networks, Classification algorithms, Artificial intelligence, Kernel methods for machine learning |
Status | Grant |
Latest ABEJA News
Nov 22, 2022
These prophetic forewarnings range from the weather, natural calamities, and even senile dementia, according to Mikio Okumura, chief of Japanese insurer Sompo Holdings (TYO: 8630). The forward-looking company invested $500mn investment two years ago in Palantir (NYSE: PLTR), the US specialist in big data analysis. It also has bought a stake in Abeja, a Japanese AI start-up.
ABEJA Frequently Asked Questions (FAQ)
When was ABEJA founded?
ABEJA was founded in 2012.
Where is ABEJA's headquarters?
ABEJA's headquarters is located at the ARGYLE aoyama WeWork 6F, Tokyo.
What is ABEJA's latest funding round?
ABEJA's latest funding round is Corporate Minority.
How much did ABEJA raise?
ABEJA raised a total of $45.44M.
Who are the investors of ABEJA?
Investors of ABEJA include Hulic, Sompo Holdings, PIER71, Google, NTT DoCoMo Ventures and 19 more.
Who are ABEJA's competitors?
Competitors of ABEJA include HACARUS.
Compare ABEJA to Competitors
Neurocat is an IT startup consisting of mathematicians, computer scientists, and industrial engineers working on basic research in the field of Artificial Intelligence (AI), and solving engineering challenges for applied AI technologies. The current main focus lies on research and applications of Deep Learning and Reinforcement Learning, on AI safety and trustworthiness, and on combining AI systems with blockchain technology.
Preferred Networks (PFN) provides IoT-centric deep learning systems. The company advocates Edge Heavy Computing as a way to handle the enormous amount of data generated by devices in a distributed and collaborative manner at the edge of the network, with a focus on three business areas: transportation, manufacturing, and bio/healthcare. PFN develops and provides Chainer, an open-source deep learning framework.
LPixel specializes in the field of life science imaging analysis for the medical, pharmaceutical, and agricultural sectors.
Hutzper develops edge computing solutions for the manufacturing industry. The company's technology is mainly used for the automation of work that is conventionally performed visually, such as inspection work in food factories and parts factories. It was founded in 2020 and is based in Osaka, Japan.
Corpy & Co. is a Japan- and France-based deep-tech startup company developing unique and frontier AI systems, conducting research on deep learning, multimedia (vision/language/speech), web, and more. The company's solutions include medical image processing for cancer detection from medical images, as well as AI systems such as recommendation systems, computational advertising, UI/UX auto-optimization, and fake review detection. The company is developing CONFIDE, an AI operation and quality control platform based on XAI&QAAI technology.
HACARUS develops AI solutions for the manufacturing and medical industries. HACARUS's AI engine is built using the sparse modeling method, which enables feature extraction from small amounts of data. The company was founded in 2014 and is based in Kyoto, Japan.
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