Solutions

Try it, deepen it, then run it yourselves.

Start with a small proof, embed the knowledge deeply, and finish with something your own team can run. ShinAI roots AI in your organisation across three stages. Beyond them, we research physical AI — the skill on a floor that documents never captured.

What We Offer

Services ShinAI Provides

We divide our work by the outcome it produces. Begin wherever sits closest to the problem you actually have.

Private AI agent development

General-purpose AI does not know your context, so it goes unused on the floor and quietly becomes a formality. We connect your internal knowledge to your existing systems and build a private agent that not only answers but carries the work through. Hand it enquiries and routine tasks, and people are free to concentrate on judgment and conversation.

Answers and decision support grounded in your own knowledge
Integration with existing systems and APIs
Support from search all the way to execution

Hands-on support for AI-driven transformation

We do not treat go-live as the end of the job. We stay alongside you through PoC design, accuracy evaluation, operating rules, and growing your internal team. In time you will run and improve it without us. We hand over the technology and let it take root.

PoC design and evaluation design
Operating rules and guidelines
Team development and technical handover

Physical AI New service

On-site skill, into AI.

How a hand moves, how much pressure to apply, what a glance decides. We capture the on-site skill that lives in no document — through sensors and video — and put it into a form AI can work with.

A new service that extends tacit-knowledge AI into the physical floor. We start from a small trial and design it around your site.

Talk to us about this service

ShinAI Method

How knowledge starts moving

Gather what is scattered, connect it by meaning, give it grounding, put it to work. Five stages, and at the end it moves in-house.

Capture

Collect

Gather conversations, documents and work history, bringing scattered knowledge into one place.
Structure

Organise

Sort the knowledge, the conditions behind decisions, and the relationships, then connect them by meaning.
Ground

Give evidence

Connect to RAG so sources can be traced, and every answer carries something behind it.
Act

Execute

Agents support search, judgment, and the work itself.
Transfer

Hand over

Pass it to a team that can operate and improve it from the inside.

Technology & Security

Build it, guard it, never hand over too much

We build while measuring accuracy, protect data and permissions, and leave the final call to a person. Three stances hold together a design you can trust with your work.

Build

RAG and internal search

LLM optimisation and tuning

Evaluation design that measures accuracy

Protect

On-premise and private cloud

Access control

Logging and audit

Keep people in charge

Final approval rests with a person

Reasoning shown, not hidden

Authority delegated in stages

How We Work

Small trial to production, then over to you

We do not build big at the start. We move on as the effect is confirmed. The durations below are guides only and vary with scale and purpose.

Framing the problem and requirements approx. 1–2 weeks
Working prototype approx. 2–4 weeks
Validation on real operational data approx. 2–6 weeks
Production build approx. 1–3 months or more
In-house capability and ongoing improvement ongoing

These durations are estimates. We look at the result of each stage together and decide whether to go on.

Get Started

Talk to us about AI adoption

Even when requirements are still vague, we will work it out together with you.

Book a free consultation

Contact contact@shinai-inc.jp

Hours Weekdays 9:00–18:00 JST

Consultation 30–45 min, no preparation needed