Drawing on technology honed over decades of development, KJ Systems helps solve our clients’ challenges — through AI-powered development support, website and landing page production, and search systems built for large-scale data.
We support development that makes use of generative AI and machine learning. From shaping requirements and building proofs of concept to embedding AI features into your existing systems, we turn the latest AI into something your business can actually put to work.
We develop across platforms, from mobile to web. Corporate sites, campaign landing pages, and internal business applications alike are built to work well on smartphones, load fast, and stand up to SEO.
We structure large volumes of data and build fast full-text search on top of it. The expertise we gained handling waka poetry, classical literature, and gaiji characters goes into search infrastructure built for data at scale.
Development support for an app built with Azure machine learning APIs and Xamarin.Forms. The user photographs a meal with their phone, and AI identifies the dish, works out the calories, and logs it.
A system for managing and searching the gaiji (non-standard character) data and fonts that printing companies use in DTP.
Phrase and full-text search across a vast body of waka and haiku. A dedicated vertical-writing app displays the text close to the original source edition (tablet version in development).
A search system that runs full-text search across academic works and books, and presents them in a dedicated viewer that reads much like the printed page.
A database built on Taishukan’s Shin Kangorin, organised by Shift-JIS, Unicode, CID, and Sha-Ken code sets, with an extensive collection of variant and related characters. A cloud-based search system with OpenType support.
Generating e-book data (EPUB) from InDesign files and legacy phototypesetting data.
Automated typesetting of management reports, catalogues, and paperback books using KJ Script, our own scripting language.
Manages and searches the colophon data of published books, with automated typesetting of the corresponding InDesign files.
Converting Word documents produced by investment trust companies into the XHTML format required by EDINET, the Financial Services Agency’s electronic disclosure system for securities reports.
An iPad-based sales support tool for managing client assets.
A consumer-facing tool for uploading and downloading image and video files, handling files of tens of gigabytes. Built as a native Windows and Mac hybrid application in anticipation of the end of Flash.
| Project | Language | Library/Service | Other |
|---|---|---|---|
| Mobile App Development Support | C# | Xamarin.Mac, ASP.NET | - |
| Gaiji Management System for Publishers | C# | ASP.NET, Azure | - |
| Classical Literature Search System | C#, PHP | Azure, Cake PHP, Xamarin.Forms | - |
| Academic Library Search System | C# | ASP.NET, Azure | - |
| KJ Kanji / Character Code Table | C# | ASP.NET | - |
| E-books from Print Production Data | C# | - | XML, InDesign |
| Automated Typesetting with InDesign | C++, C# | Azure, Functions | XML, InDesign |
| Colophon Management App | C# | ASP.NET, Azure | InDesign |
| EDINET Data Conversion | C# | - | XML |
| Sales Support Tool for a Securities Firm | C# | ASP.NET | - |
| Media Tool | C# | Xamarin.Mac, WPF | - |
