Founded Year

2014

Stage

Series B | Alive

Total Raised

$5.25M

Last Raised

$2.86M | 2 yrs ago

About HACARUS

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.

HACARUS Headquarter Location

227 Hashibenkei-cho, Nakagyo-ku Dai 12 Hase Building 5A

Kyoto, 604-8151,

Japan

+81-075-708-5516

Predict your next investment

The CB Insights tech market intelligence platform analyzes millions of data points on venture capital, startups, patents , partnerships and news mentions to help you see tomorrow's opportunities, today.

HACARUS's Products & Differentiation

See HACARUS's products and how their products differentiate from alternatives and competitors

  • HACARUS MD

    Medical AI Platform for image and vital data analysis

  • Subscribe to see more

    We're on a mission to enable every organization to make smarter decisions about tech. Whether it's finding a new game-changing vendor or understanding a new market, it's easier, faster and smarter with CB Insights. All made possible by the smartest, hardest-working team in tech. Subscribe to see more.

Research containing HACARUS

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned HACARUS in 3 CB Insights research briefs, most recently on Apr 30, 2020.

Expert Collections containing HACARUS

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

HACARUS is included in 3 Expert Collections, including Artificial Intelligence.

A

Artificial Intelligence

9,051 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

A

AI 100

100 items

The winners of the 4th annual CB Insights AI 100.

D

Digital Health

13,070 items

Technologies, platforms, and systems that engage consumers for lifestyle, wellness, or health-related purposes; capture, store, or transmit health data; and/or support life science and clinical operations. (DiME, DTA, HealthXL, & NODE.Health)

Latest HACARUS News

SAP : Sustainable AI Turns Small Data into Huge Results for Manufacturers and Researchers

Apr 27, 2022

04/27/2022 | 07:25am EDT Message : *Required fields Sparse modeling artificial intelligence (AI) is edging out traditional deep learning to become the technology of choice for product manufacturers and medical researchers because it ticks off all the boxes for modern quality control: explainability, energy efficiency, and speed. Just ask some of the customers from Hacarus , a Japan-based startup that's developed a standout AI-fueled visual inspection solution. "Sparse modeling AI is a surprising revelation for our clients that need to innovate faster while meeting high-quality standards, whether it's electric vehicles, luxury watches, or drug discovery," said Kenshin Fujiwara, CEO and founder of Hacarus. "They're amazed at how we're tackling traditional AI's dirty secret, reducing the high energy costs of data collection and training, which saves time and our planet's resources." A Green, Explainable AI Alternative According to some studies , training a single AI model using traditional machine learning can equal the carbon emissions of five cars across their entire life cycles. That's because machine learning algorithms attempt to "understand" every detail gleaned from huge amounts of data from scratch. In contrast, sparse modeling doesn't require training from tens of thousands of images to yield a strong model for prediction. Because it starts with built-in assumptions, restrictions, and hypotheses, sparse modeling saves time by ignoring what's already known. This reduces computational time and energy consumption. On the factory floor, manufacturers need far fewer samples of both good and bad product parts to train the AI model, speeding up visual product inspections to detect defects and anomalies without sacrificing sustainability. Inside research labs, sparse modeling yields more explainable AI. For example, scientists exploring new drug treatments can more easily distinguish chemical compound reactions. In one pilot project with a pharmaceutical company in Japan, Hacarus' solution performed 56 times faster than a deep learning algorithm. "Sparse modeling is ideal for any precision engineering equipment or research company developing advanced products with less data," said Fujiwara. "Electric vehicle parts are a great example because it's a brand-new sector. Automakers and suppliers can create a reliable, AI-based model with as little as 20 images. It delivers the equivalent results of deep learning in a fraction of the time and energy." In addition to electric and combustion-fueled vehicle manufacturers, Hacarus' customers in Japan and Europe span numerous industries, including luxury goods, chemicals, and life sciences. A global pharmaceutical company shortened drug discovery computational times by 99% while gaining insights into correlational changes, bringing crucial explainability into the field. One chemicals and life science products manufacturer combined Hacarus' AI technology with sensors to speed up carboxymethyl cellulose sodium (CMC) quality inspections by 600%. CMC is an environmentally friendly plant-derived material used in many products such as lithium-ion batteries and high-grade fish feed. The company expected to reduce inspection labor and training costs by about 50% over the next two to three years. Using AI for Sustainable Business Innovation Hacarus is Fujiwara's fourth startup, and the company's history reflects the entrepreneur's gold standard of fail fast until you make it with phenomenal success. The startup began as an Internet of Things (IoT)-based kitchen scale, followed by a fitness app - all the while focusing on small data analysis - before arriving at sparse modeling to help industrial and researchers achieve more with less. "Hacarus means 'to measure' in Japanese, and I've always been focused on getting results from small data," he said. "We realized that sparse modeling would help companies gain the benefits of AI where gathering large data sets was not possible or economical." SAP.iO Partnership for Shared Sustainable Vision Fujiwara participated in the energy and natural resources cohort of SAP.iO Foundry Singapore , the company's global B2B accelerator. Along with expert advice and introductions to SAP customers, he valued the opportunity to be integrated with SAP Asset Intelligence Network and made available on SAP Store . "SAP is a global leader in our mutual priority industries, and it helped us understand what customers were looking for," said Fujiwara. "Integrating inspection data from our sparse modeling AI capabilities with SAP solutions helps organizations continue digitalization for Industry 4.0. This reflects SAP's vision for companies to become intelligent, sustainable, networked enterprises." While most of Hacarus' customers are currently in Japan, international expansion plans are underway with projects in Europe and growing opportunities in North America. Widely used in academia - it was the technology used to create the first ever image of a black hole - sparse modeling is now lighting the way to more sustainable AI.

HACARUS Web Traffic

Rank
Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
CBI Logo

HACARUS Rank

  • When was HACARUS founded?

    HACARUS was founded in 2014.

  • Where is HACARUS's headquarters?

    HACARUS's headquarters is located at 227 Hashibenkei-cho, Nakagyo-ku, Kyoto.

  • What is HACARUS's latest funding round?

    HACARUS's latest funding round is Series B.

  • How much did HACARUS raise?

    HACARUS raised a total of $5.25M.

  • Who are the investors of HACARUS?

    Investors of HACARUS include Miyako Capital, Ohara Pharmaceutical, Chushin Venture Capital, Kyogin Lease & Capital, Osaka Gas and 16 more.

  • Who are HACARUS's competitors?

    Competitors of HACARUS include Reality AI, neurocat, ABEJA, Hutzper, Onyx and 8 more.

  • What products does HACARUS offer?

    HACARUS's products include HACARUS MD and 1 more.

  • Who are HACARUS's customers?

    Customers of HACARUS include Mitsubishi Tanabe Pharma, Ohara Pharmaceutical and DS Pharma Animal Health.

You May Also Like

Landing AI Logo
Landing AI

Landing AI empowers customers to harness the business value of AI by providing enablement tools and transformation programs. One of the company’s core products is LandingLens, an end-to-end AI platform specifically designed for industrial customers to build and effectively deploy AI visual inspection solutions.

A
ARAYA Brain Imaging

ARAYA Brain Imaging is engaged in the development of Artificial Consciousness, strong AI technologies grounded on computational theories of consciousness, with combinations of neuroscience and information science.

Koda Health Logo
Koda Health

Koda Health develops a data-driven, personalized, interactive, and video-based platform to navigate the difficult end-of-life conversations (Advanced Care Planning). It ensures that patients' healthcare preferences are protected while generating revenue for health systems, saving millions in unwanted expenditure, and collecting a valuable dataset on patient personas and care preferences.

H2O.ai Logo
H2O.ai

H2O.ai is an AI company that makes machine learning accessible to corporates and allows business users to extract key information from data, without needing prior knowledge in deploying or tuning machine learning model, with key deployments in financial services, insurance, healthcare, among other industries. The firm was founded in 2011 and is based in Mountain View, California.

Vettd Logo
Vettd

Vettd.ai creates solutions that augment human intellect and transform how talent strategies are approached in the human resources industry. Vettd.ai helps HR with applicant prioritization and team analysis.

ABIVIN Logo
ABIVIN

ABIVIN provides AI-powered supply chain optimization solutions for enterprises.

Discover the right solution for your team

The CB Insights tech market intelligence platform analyzes millions of data points on vendors, products, partnerships, and patents to help your team find their next technology solution.

Request a demo

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.