A large Machine Learning community in Japan

[MLT](https://www.mlt.ai/) is a community and an award-winning nonprofit organization based in Tokyo, Japan. More than 10,000 members from all over the world. Since 2017, organized more than 300 talks, workshops, and study sessions in machine learning, deep learning, reinforcement learning, and math.

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About

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Kabuken

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AI services, performance and security engineering

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Request information, stay in touch with us

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Product updates, upcoming events and trending news

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How we built a bilingual data platform on Japanese regulatory filings, from XBRL extraction to AI integration

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Kabuken, our platform for the financials of Japanese listed companies, is now listed in Anthropic's Claude connector directory.

Add it to Claude, then ask about a Japanese company in plain language. The figures come from official EDINET filings, the disclosure system of Japan's Financial Services Agency. For each figure, Kabuken returns the source filing. Labels are in English and Japanese.

You can look up financial statements, business and geographic segments, major shareholders and the filing list for a company. You can compare up to five companies, screen by ROE, ROA, operating margin, current ratio and debt-to-equity, and read industry overviews.

Example, fiscal year ended 31 March 2026: Toyota revenue of ¥50.68 trillion, operating income of ¥3.77 trillion, and a dividend of ¥95 per share (¥90 the year before).

The connector is read-only. It does not provide stock prices or investment advice. Coverage has been validated for TOPIX-100 companies; other listed companies come through the same pipeline.

It works in Claude on the web and mobile, Claude Desktop, Claude Code and the Claude API, through the Kabuken MCP server. Sign in with Google or email.

[See the listing in the Claude directory](https://claude.ai/directory/kabuken?utm_source=intellics_news&utm_medium=referral&utm_campaign=listing_anthropic) | [Setup guide](https://kabuken.intellics.ai/docs/en/api/connecting/?utm_source=intellics_news&utm_medium=referral&utm_campaign=listing_anthropic)

Source: EDINET (https://disclosure2.edinet-fsa.go.jp/), PDL1.0 (https://www.digital.go.jp/resources/open_data/public_data_license_v1.0). Processed by Kabuken.

Kabuken is now in Anthropic's Claude connector directory

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We have published a case study on Kabuken, our platform for fundamental analysis of Japanese equities, built on EDINET XBRL filings.

It covers two engineering decisions in depth — auditing database indexes against real query patterns, and treating filings as history rather than a cache — and the spend ceiling that guards our own production jobs.

[Read the case study](/case-studies/kabuken)

Case study: how we built Kabuken

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[Video](https://youtu.be/7LzNhaFcHw0) from our first meetup with [Tarantool.io](https://www.tarantool.io/en/), have been published on our YouTube channel.

Webinar Video: Fast, Faster, the Fastest

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Intellics.ai providing all services fully remotely, as an answer to spreading coronavirus infection. We're taking care about health of our clients and employee, and aiming to conduct all operations successfully in remote mode. 

Remote Work

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We're starting our blog with [post](http://intellics.ai/blog/post/1) about classification of automated threats, listed by OWASP. 

Blog Update

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Together with [Tarantool.io](https://www.tarantool.io/en/), we're preparing webinars about increasing the performance of web services. The main focus of upcoming webinar is a significant performance boost, which applications can get by introducing in-memory databases at the backend level. Registration to event [available online](https://www.meetup.com/tarantool-japan/events/284220262) on Meetup.

Webinar: Fast, Faster, the Fastest

News and announcements