Turning AI into
a force that moves society.

Intelligence into Action.

Proprietary AI technology and products, and the implementation capability to work deep inside real operations.
TIGEREYE handles everything from AI research and development to real-world deployment,
opening up new possibilities for businesses and society.

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Work AI can take on

AI takes on the everyday tasks that require human effort

  1. When a visitor arrives

    AI handles face recognition, reception, and guidance.

  2. When documents arrive

    AI reads the information needed and reduces manual data entry.

  3. When an inquiry comes in

    AI answers by phone or chat.

People can spend their time on work that needs individual consultation and judgment.

How to work with us

There are three ways to work with us

Choose the one that fits your challenge.
Forward Deployed Engineers (FDEs) are involved in all of them.

01

Ready-to-Use Products

Face recognition for entry and attendance, document reading, inquiry handling, and more. The work centers on setup and integration, so you can start using them quickly.

02

AI for Entire Operations

AI takes on operations in healthcare, manufacturing, offices, and hotels. FDEs analyze your operations, design the workflow, connect it to your existing systems, and continue to support you once it is up and running.

03

Build Your Own AI Services

We provide TIGEREYE's AI platform so that you can build your own AI services. We also support integration into internal systems and on-premises operation.

View Services

The people who embed AI

The people who embed AI in your operations
are engineers who join your team

TIGEREYE engineers join your team, implement AI to fit your operations, and check the results to confirm that it works.
We don't stop at advice.
We call this role the FDE (Forward Deployed Engineer).

We work with TIGEREYE's AI and combine it with other companies' AI to fill any gaps.

Learn About FDE

After you engage us

Here's how it works with TIGEREYE

FDEs join your team and take charge of everything from understanding your challenges to embedding AI in your operations and expanding it.
The figures come from AI-driven development projects and from estimates based on a scenario we modeled.

  1. Understand where you are

    We start by asking what challenges you face. If you have a system under development, we analyze the code in about three business days and send you a report on risk areas and the order in which to fix them (free of charge).

  2. Build to fit your operations

    FDEs work together with AI from design through implementation. In one case, a system of a scale that would conventionally take about 6 to 14 months went into use in about seven weeks.

  3. Run it while maintaining quality

    Checks that machines can perform are left to CI, so people can focus on design and judgment. The time needed for one review drops from about 60 minutes to about 15 minutes (our estimate for a modeled scenario).

  4. Embed and expand

    We check the results to confirm that it works, then extend the same mechanism to other operations. Even if the code grows from 10,000 to 100,000 lines, no full rewrite is needed.

Learn About FDE

Case studies

Case studies of AI built into the development process

These are examples of AI-driven development.

01

An internal AI system used by about 10,000 people,
built in about seven weeks

An intranet integrating AI chat, facility booking, visitor management, Google Workspace integration, an authentication platform, and an admin portal. AI-driven development was applied with a team of about 30 people, and the system remains in operation today.

Codebase size
About 250K lines
Development period
About 7 weeks
About 6 to 14 months with conventional development
Users
About 10K
Productivity
4–8x
Approximate, compared with conventional development

02

A medical system connecting three types of care and medical administration,
built by one engineer in about six months

A medical operations system integrating WebRTC video consultations, home-visit route optimization, OCR, and AI voice summarization. One engineer designed the architecture, and AI agents handled implementation and testing.

Codebase size
About 190K lines
Including tests
Development period
About 6 months
About 10 months to 1 year with conventional development
Automated tests
2,800
Productivity
10x+
Approximate, compared with conventional development

03

An app used by tens of thousands of people a year, with core system integration,
built by three people in about eight months

The project delivers iOS/Android apps and admin screens (about 130 screens in total) and about 400 APIs, built in the cloud using IaC and connected to core systems over a closed network. Three people designed the architecture, and AI agents handle implementation and testing.

Codebase size
About 430K lines
Including tests
Development period
About 8 months
About 12 to 15 months with conventional development
Automated tests
12K
Productivity
Up to 10x
Approximate, compared with conventional development (5–10x)

See How We Develop

Track record

We continue to deploy AI
in offices, hospitality, and security

Other cases

We took part in a private 5G ("local 5G") trial led by an industrial park association, handling face recognition when people receive packages delivered by drone.

View Case Studies

Answers and choices

AI provides the answers.
People make the choices.

See, think, act. TIGEREYE's AI takes on all of that.
What to choose in the end is up to you.

What AI does

AI that doesn't just recognize,
but speaks, understands, and responds

It sees and recognizes, thinks and understands, acts and responds. It brings that whole flow together, from video and documents to business systems.

  1. People

    Reception, document entry, inquiry handling. Change begins with the everyday work that takes up people's time.

  2. See

    Recognizes people, objects, movements, and documents. Captures the information your operations need from video and images.

  3. Think

    Searches corporate knowledge, understands the situation, and connects it to decisions. Builds knowledge, reasoning, and memory into your operations.

  4. Act

    Agents and workflows connect to existing systems, and AI and people carry operations through to completion.

Challenges

Find by challenge

  • Reception and GuidanceStaff are so busy handling visitors that they can't leave the reception desk.
  • Document Entry and ReadingManually typing in data while reading paper documents takes time.
  • Inquiry HandlingAnswering a constant stream of questions eats up staff time.
  • Entry and Exit, Attendance, and Identity VerificationChecking and recording people at the entrance takes time and effort.
  • Routine Back-Office WorkApplications, checks, and copying data from one place to another pile up, and administrative work keeps growing.
  • Adding AI to Your Own ServicesConnecting new AI features to your existing apps takes work.

Industries

Find by industry

How consultations work

Every consultation starts with "What challenges do you face?"

We work backward from your challenges and the state you want to reach, and decide together how to proceed.

  1. What challenges do you face?

    Example: There are so many inquiries that staff can't get to their core work.

  2. What would success look like?

    Example: AI answers frequently asked questions, and staff focus on complex inquiries.

  3. Is AI the right fit?

    We assess this together, then choose from the three ways to work with us.

Start small, then expand while watching the numbers and the changes in your work.

Careers and training

Hiring and developing FDEs

Careers

We join your team to design, build, and embed AI in your operations.

View Careers

FDE Academy

An AI reskilling service for companies, developing people who can put AI to work.

View FDE Academy

Start by telling us about the challenges you want to solve with AI

Toward workplaces where AI is simply part of everyday work.

Discuss Your Challenges