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IoA-8Lab IoA-8Lab
Research-Backed AI Technology

Turning Field Knowledge
into AI-Powered Capability

We solve operational problems in agriculture, manufacturing, and infrastructure with research-backed AI.

Challenges Every Industry Faces

Structural problems that AI can and should solve

Expert Knowledge Is Retiring

Decades of tacit know-how disappear as veteran workers leave the workforce.

Manual Processes Don't Scale

Human-dependent inspection, grading, and management become bottlenecks as operations grow.

Off-the-Shelf AI Doesn't Fit

Generic AI tools can't handle industry-specific conditions and real-world field constraints.

What Is IoA-8Lab?

The Philosophy Behind the Name

"Every organization has unique problems. We bring the rigor and tools to solve them — and the discipline to leave the capability behind."

IoA

Internet of Ability

Internet of Ability — the idea that anyone can gain practical skills and expertise

8

Infinity

Symbolizes unlimited scalability and continuous evolution

Lab

Laboratory

Born from a research lab, emphasizing rigor and evidence-based development

7 Japanese Patents
10 Journal Papers
9 Conference Papers

Our Domains

Solving real operational problems across industries

Agriculture
Thinning robots, grading stations, harvest timing, AR support systems — centered on grape cultivation and expanding to multiple crops.
  • Grape thinning robots
  • Grape grading
  • Harvest timing
  • AR farming support
  • Konjac size estimation
Manufacturing
Predictive maintenance, defect inspection, production line anomaly detection, digital twins — enabling AI-powered manufacturing.
  • Predictive maintenance
  • Vision-based defect inspection
  • Production line anomaly detection
  • Digital twins
  • Automatic meter reading
Infrastructure & Services
AR remote assistance, knowledge capture, field monitoring — driving digital transformation of field operations.
  • AR remote assistance
  • Knowledge capture
  • Field-to-cloud monitoring
  • Semi-automatic annotation

Capability Transfer Methodology

We don't just deliver AI — we hand over the ability to operate it

1

Diagnose

Structure field problems and assess AI feasibility

2

Design

Architect a solution grounded in research insights

3

Deliver

Build production systems with proven models and tools

4

Transfer

Hand operational know-how and model ownership to your team

5

Evolve

Continuous improvement cycles to raise accuracy and value

Proven Outcomes

Case studies backed by peer-reviewed publications

Agriculture
2023
Grape Berry Thinning AR System
Computers and Electronics in Agriculture

Challenge

Grape berry thinning relies on skilled farmers' experience and intuition, making it difficult for newcomers and unskilled workers to learn.

Solution

Developed a system combining deep learning berry detection with AR glasses to display real-time thinning guidance.

Impact

Unskilled farmers achieved 8.18% higher quality scores than skilled farmers when using the system.

+8.18% quality
Agriculture
2025
Onion Anomaly Detection System
Smart Agricultural Technology

Challenge

Onion sorting relies on manual labor, with anomalies affecting quality and yield. Conventional image recognition lacked accuracy in real-world conditions.

Solution

Developed a feature-adaptive anomaly detection method, validated in both lab and real-world operational environments.

Impact

Achieved 97% accuracy in lab and 86% in real-world operation.

97% lab / 86% field

Start Your AI Project

Tell us about your challenge. We'll show you what's possible.

Backed by 10 journal papers and 7 Japanese patents