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."
Internet of Ability
Internet of Ability — the idea that anyone can gain practical skills and expertise
Infinity
Symbolizes unlimited scalability and continuous evolution
Laboratory
Born from a research lab, emphasizing rigor and evidence-based development
The research foundation our founders built at university
Press coverage
- Nikkei 2024.6.22
- Yomiuri Online 2024.6
- NHK Yamanashi 2024.5.30
- YBS Yamanashi 2024.5.30
- University of Yamanashi 2024.5.30
Our Domains
Solving real operational problems across industries
Capability Transfer Methodology
We don't just deliver AI — we hand over the ability to operate it
Diagnose
Structure field problems and assess AI feasibility
Design
Architect a solution grounded in research insights
Deliver
Build production systems with proven models and tools
Transfer
Hand operational know-how and model ownership to your team
Evolve
Continuous improvement cycles to raise accuracy and value
Diagnose
Structure field problems and assess AI feasibility
Design
Architect a solution grounded in research insights
Deliver
Build production systems with proven models and tools
Transfer
Hand operational know-how and model ownership to your team
Evolve
Continuous improvement cycles to raise accuracy and value
Proven Outcomes
Projects proven through real-world field validation
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
Helps unskilled workers thin berries at a quality approaching that of experts.
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
Delivers anomaly detection that works not only in the lab but on real sorting lines.
Start Your AI Project
Tell us about your challenge. We'll show you what's possible.
Built on our founders’ research: smart-agriculture projects and 7 Japanese patents