CHALLENGES

The Bottleneck of Traditional System

Why AI is Essential in Modern Manufacturing

  • Delayed Decision-Making

    Traditional systems rely on batch processing or manual analysis, creating a significant lag time for insights. This slows down decision-making and leads to missed opportunities.

  • Surface-Level Analysis

    Without AI, many systems struggle to go beyond basic reporting and statistics. They miss out on hidden patterns and predictive insights that are crucial for strategic planning.

  • Untapped Wealth of Info

    A vast amount of information exists in unstructured formats like text, images, and videos. Traditional systems are designed for structured data and cannot effectively process or extract value from this untapped potential.

  • Static and Inflexible

    Manual updates and rigid rules hinder adaptability. These systems are ill-equipped to handle evolving data patterns or changing user needs.

OUR SOLUTION

The AI Advantage

Transforming Data into Dynamic Business Solutions

  • Instantaneous, Actionable Intelligence

    AIAnalyse processes large datasets in real-time, identifying trends, anomalies, and opportunities as they happen. This enables quick decisions and even automated actions.

  • Profound Insights and Predictive Power

    Our AI algorithms uncover complex patterns within large datasets, going beyond surface-level trends. This provides deeper insights and more accurate forecasting for proactive decision-making.

  • Unlocking the Value of Unstructured Data

    AIAnalyse extracts meaning from unstructured data like text, images, and videos. This reveals critical insights that would be inaccessible with traditional systems.

  • Adaptable and Evolving Intelligence

    Our AI models continuously learn and improve with new data, ensuring your system remains accurate, relevant, and aligned with the dynamic nature of your business.

USE CASES

AIANALYSE in Action

Real-World Applications

  • Image/Video Data
  • Time-Series Data

AIANALYSE excels at analyzing image and video data to

  • Defects Detection

    Detect defects in products, such as scratches, dents, or discoloration in materials and components.

  • Measurement

    Measure the dimensions of parts and assemblies to ensure they meet specified tolerances.

  • Surveillance

    Monitor workplace safety, identify hazards, and predict risks to prevent accidents and ensure regulatory compliance.

AIANALYSE excels at Time-Series Data to

  • Predictive Maintenance

    Analyze equipment sensor data to predict maintenance needs, reducing downtime and optimizing maintenance schedules.

  • Dynamic Pricing

    Adjuste price in real-time based on various factors such as demand, supply, competitor pricing, market conditions, and customer behavior.

  • Inventory Optimization

    Use historical sales data, market trends, seasonal patterns, and external factors to determine optimal inventory.

TECHNICAL APPEAL

AIANALYSE leverages a robust AI process pipeline to deliver exceptional results.

Interface

Chat App

Widget

API for Chat Apps (LINE, Slack, Messenger,...)
Application

Call Center

Help Desk

API for Logic Apps (Zendesk,...)
Generator

LLM

API for LLM (GPT, Bedlock,...)
Retriever

Smart Retriever

Vector DB

Config tools for retriever
Parsing Engine

Extract/Crawling Tools

Cleansing Tools

API for connectors
Data Source

Application Data

Files

Database

Web

CASE STUDIES

Proven Success

See AIANALYSE in Action

  • Wafer Defect Classification

    Automatically classifies known defect causes and detects unknown defects that do not belong to any class. Achieved 96% classification accuracy.

  • Battery Inspection

    Reduce inspection costs by 40% or more. ・Accuracy of pass detection is over 80%. Failure detection accuracy is 100%

  • Autiomatic Measurement on Image

    Our results are considered as good as manual measurement conducted so far by experienced staff. Our module was built into client’s quality control system.

  • CD Measurement of color filter’s cells

    We were able to draw Larger and Smaller boundaries of the central cells at an accuracy that is equivalent to manual measurement done by experts.

FAQs

Frequently Asked Questions

How does AIAnalyse ensure the quality and accuracy of its AI models?
To address the uncertainties of an AI solution, we conduct Proof of Concept (PoC) using sample data and meticulously evaluate the results. The solution is implemented only when our clients are satisfied with the PoC outcomes.
What kind of expertise does the AIAnalyse team have?
Our team comprises experienced AI consultants, data scientists, machine learning experts, and skilled engineers with a proven track record in delivering successful AI projects.
What is the typical timeline for implementing an AI solution?
The implementation timeline depends on the project's complexity and scope. We typically require 1 month for the Feasibility Study, up to 3 months for the Proof of Concept, and an additional 6 months for Solution Deployment.
What industries does AIAnalyse serve?
We serve various industries, including manufacturing, retail, logistics, and more. Our AI solutions are adaptable across different sectors and can address a wide range of challenges.
Can AIAnalyse integrate AI solutions with existing systems?
Yes, integration with the client’s business systems is part of the deployment phase. Our team can seamlessly integrate AI solutions with your existing systems and processes, minimizing disruptions and maximizing efficiency.
How do we start working with AIAnalyse?
Contact us to discuss your specific needs and goals. We will then guide you through a consultation process to determine the best AI solution for your business.