Skip to content

AI & machine learning

AI that fits the way your team works — from proof of concept to production.

Face recognition, smart automation and analytics built on Azure Cognitive Services, Python and Power BI. We start small, prove the value on your data, and grow what works — in Japanese and English.

  • 2 AI projects delivered for Japanese clients
  • Azure Cognitive Services and Face API
Data → Insight Vision · Automation
Recognise, sort, report
on your own data
Request a callback
See AI projects

What we deliver

AI applied to a workflow, not bolted on

Each solution starts from one task your team does by hand today, and is measured by how much of that task it takes over.

  • Vision

    Face recognition and automation

    Custom AI workflows that recognise faces, sort photos and automate the steps around them.

  • Azure

    Cognitive Services integration

    Azure Cognitive Services and the Face API connected to your applications and data.

  • Power BI

    Analytics and dashboards

    Reports, dashboards and business intelligence support built on Power BI.

  • Prototype

    Proofs of concept

    Rapid prototyping and iterative delivery, so you see results before you commit.

Also in our toolkit: Python for machine learning and automation, Azure Logic Apps and IoT Core.

How we start

Prove it on one workflow first.

AI projects succeed when the first step is small enough to evaluate. We agree what success looks like before building anything.

  1. Pick one workflow

    A task your team repeats every day, with a clear measure of success — such as time saved or items sorted correctly.

  2. Prototype on your data

    A working proof of concept you can try with real examples, not a slide about what AI could do.

  3. Grow what works

    Iterate towards production in bounded releases, each tested and signed off by your team.

AI projects

AI doing daily work for Japanese clients.

Projects whose stack uses Azure Cognitive Services or the Face API.

01

Web · Japan client

Kindergarten Action Camera — AI Photo Management

Stack

React + Azure Face API + PowerApps.

Duration

4 months, plus ongoing.

React Azure Face API PowerApps

02

Cloud · Japan client

Smile Check-In Attendance System

Stack

Azure Logic Apps + PowerApps + Cognitive Services.

Duration

4 months.

Azure Logic Apps PowerApps Cognitive Services

AI in our own delivery

We use AI the way we recommend it.

AI supports the review and testing steps of our delivery process — with engineers accountable for every change.

How we work
  • AI-assisted code review: AI flags likely issues first, then an engineer does the final review.
  • AI-assisted test generation: draft unit and automation tests, reviewed and run by our QA team.
  • Detailed weekly reports in Japanese and English
  • Japanese QA sign-off before every release

FAQ

Questions we hear first

Where should we start with AI?

With one workflow your team repeats every day and a clear measure of success. We build a proof of concept on your data first, so you can judge the result before committing to more.

Do we need a lot of data?

Not always. Services like the Azure Face API come already trained, so a proof of concept can start with a small set of your own examples.

Can AI work inside the tools we already use?

Yes. Our AI projects connect to PowerApps, Logic Apps and web applications, so results appear where your team already works.

Can we work with your team in Japanese?

Yes. Status reports, documentation and QA sign-off can all run in Japanese, with weekly reports in both Japanese and English.