No two companies get the same solution
Processes, data, and people differ from one company to the next, and general-purpose software rarely fits the site. We go to the shop floor or the classroom first to understand the problem, then judge whether AI should be used and how far it can go. From diagnosing the need to deployment and operations, one team is responsible throughout.
Platforms and systems engineering
Systems kept stable under heavy traffic, data connected across multiple systems, and trading platforms built from zero: the engineering base that AI delivery stands on.
High Availability for a Large Online Travel Platform
Eight platform-wide sales events in over two years with zero major incidents, load tested at up to 8 times normal traffic.
8x
normal traffic in load tests
10x
faster response after fixing the database bottleneck
AI Risk Control Platform for Smart Retail
Video data and transaction data connected across about 500 stores, cutting the investigation of a suspicious transaction from a week to a day.
500
stores live
7x
faster investigation of suspicious transactions
B2B Produce Trading Platform, from Zero to Operation
A large online produce trading platform, built from scratch and operated, ending in a sale of the business.
30
people on the project team
20
or more hours saved monthly
On-site and vision AI
AI taken onto construction sites and sorting lines, where robots and cameras keep running in real operations.
On-Site Deployment in Japan for a US AI Robot
On-site deployment for a US robotics AI company, keeping robots running reliably on real construction sites.
10
or more on-site model iterations
50
or more cross-border tech meetings
LLM applications
Large language models that work with a company's own data, answering overseas inquiries and letting staff ask questions in plain language.
AI Chatbot for a Japanese Used Car Exporter
An English AI customer service agent built on RAG + LLM and embedded in the client website. It handles about 3,000 overseas inquiries a month and cuts reply time per inquiry to about one third.
3000
overseas inquiries per month
67
less reply time per inquiry
AI Data Analytics Platform for the Music Industry
A cloud analytics platform that brings together data from about 40 distribution platforms, about 100,000 records a day. Executives and marketers ask questions in plain language and get the analysis back.
40
distribution platforms integrated
100
thousand or more records ingested daily
Scientific computing and data science
Numerical algorithms, machine learning models, and analytics systems for problems that demand depth in computation and data.
Numerical Computing Software for a Major Japanese Manufacturer
Numerical computing software delivered end to end for a major Japanese manufacturer, with core solver efficiency up about 6x.
6x
core solver efficiency gain
20
or more technical meetings chaired
30
or more technical reports and documents
