CHALLENGES
Why AI is Essential in Modern Manufacturing
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.
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.
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.
Manual updates and rigid rules hinder adaptability. These systems are ill-equipped to handle evolving data patterns or changing user needs.
OUR SOLUTION
Transforming Data into Dynamic Business Solutions
AIAnalyse processes large datasets in real-time, identifying trends, anomalies, and opportunities as they happen. This enables quick decisions and even automated actions.
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.
AIAnalyse extracts meaning from unstructured data like text, images, and videos. This reveals critical insights that would be inaccessible with traditional systems.
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
Real-World Applications
AIANALYSE excels at analyzing image and video data to
Detect defects in products, such as scratches, dents, or discoloration in materials and components.
Measure the dimensions of parts and assemblies to ensure they meet specified tolerances.
Monitor workplace safety, identify hazards, and predict risks to prevent accidents and ensure regulatory compliance.
AIANALYSE excels at Time-Series Data to
Analyze equipment sensor data to predict maintenance needs, reducing downtime and optimizing maintenance schedules.
Adjuste price in real-time based on various factors such as demand, supply, competitor pricing, market conditions, and customer behavior.
Use historical sales data, market trends, seasonal patterns, and external factors to determine optimal inventory.
TECHNICAL APPEAL
Chat App
Widget
Call Center
Help Desk
LLM
Smart Retriever
Vector DB
Extract/Crawling Tools
Cleansing Tools
Application Data
Files
Database
Web
CASE STUDIES
See AIANALYSE in Action
Automatically classifies known defect causes and detects unknown defects that do not belong to any class. Achieved 96% classification accuracy.
Reduce inspection costs by 40% or more. ・Accuracy of pass detection is over 80%. Failure detection accuracy is 100%
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.
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