Spakona

https://spakona.co.jp/

Japan exhibitors
Real & Online

INCHEM TOKYO 2025
Operation & Maintenance, Monitoring, DX
Booth number 6-H03

Spakona Inc. — Simplifying On-Site Challenges with AI

Spakona applies AI technologies such as image processing, mathematical optimization, time series forecasting, and reinforcement learning to improve efficiency and reduce labor. We support DX in manufacturing, logistics, and retail.

Founded by University of Tokyo graduate classmates and based in Shibuya, Tokyo, we are in our 6th year, focusing on practical AI solutions tailored to business needs.

Our achievements include:

Image processing AI at Toyota Motor Corporation and Art Moving Center.

Workforce allocation and scheduling optimization at JFE Steel Corporation.

If you’re interested in AI but unsure where to begin, or your PoC is stuck, we offer proven technology and case studies.

Please feel free to visit our booth for consultation.

:Spakona Inc., AI, mathematical optimization, time series forecasting, reinforcement learning, operational efficiency, workforce reduction, manufacturing, logistics, retail, DX, University of Tokyo, Toyota, workforce allocation, scheduling, JFE Steel, PoC support, consulting, AI partner, business automation, technology implementation, on-site problem solving, consultation,

Exhibited products (English)	<Image Processing AI> Used for person detection, anomaly detection, VLM-based image captioning, and segmentation (e.g., clothing, defects). <Mathematical Optimization> Finds optimal solutions under constraints. Applied to maintenance scheduling and workforce planning. <Time Series Forecasting AI> Predicts future trends from past data. Useful for demand forecasting and anomaly detection. <AI Agents> Autonomously perform tasks toward goals. Automate multi-step operations like browser control. <Mathematical optimization> Solve large, complex problems efficiently. Improve logistics and warehouse use. <3D Processing AI> Recognizes objects using 3D scan data. <Reinforcement Learning> Optimizes robot actions and automates process design via GPU acceleration. :Image recognition, Anomaly detection, Vision Language Model, Segmentation, Mathematical optimization, Scheduling, Workforce allocation, Time series forecasting, Demand prediction, AI agent, Browser automation, Metaheuristics, Logistics optimization, Warehouse utilization, 3D scan, Object recognition, Reinforcement learning, Robot arm optimization, GPU processing,

Exhibited products (English)

<Image Processing AI>
Used for person detection, anomaly detection, VLM-based image captioning, and segmentation (e.g., clothing, defects).

<Mathematical Optimization>
Finds optimal solutions under constraints. Applied to maintenance scheduling and workforce planning.

<Time Series Forecasting AI>
Predicts future trends from past data. Useful for demand forecasting and anomaly detection.

<AI Agents>
Autonomously perform tasks toward goals. Automate multi-step operations like browser control.

<Mathematical optimization>
Solve large, complex problems efficiently. Improve logistics and warehouse use.

<3D Processing AI>
Recognizes objects using 3D scan data.

<Reinforcement Learning>
Optimizes robot actions and automates process design via GPU acceleration.

:Image recognition, Anomaly detection, Vision Language Model, Segmentation, Mathematical optimization, Scheduling, Workforce allocation, Time series forecasting, Demand prediction, AI agent, Browser automation, Metaheuristics, Logistics optimization, Warehouse utilization, 3D scan, Object recognition, Reinforcement learning, Robot arm optimization, GPU processing,

Back