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Fujitsu Amalgamation AI for Vision
We Detect, You Deliver.
Amalgamation AI enables accurate inspection even as production changes.
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Experience Amalgamation AI online – coming soon
Fujitsu was recognized in Gartner® “Emerging Tech: AI Vendor Race: Tech Innovators in AI Vision Intelligence — Business Model Innovation" (Nick Ingelbrecht et al., 08 May 2026) (*1)
Our Solutions
No AI experts needed. Just Amalgamation AI
Video 1 : Introduction Video
Video 2 : UI Demo Video
Your Challenges
Manual, low-tech inspection
Limited or unlabeled data
On-prem & privacy-first
Changing analysis requirement
(e.g., defects, counts, checks, etc.)
(e.g., defects, counts, checks, etc.)
How we solve your challenges
Real-time operator guidance & alerts (<3s)
Plain-English setup
with a few sample images
with a few sample images
Fully on-prem (data stays inside your network)
Fast validation & tuning
(adjust in minutes, not weeks)
(adjust in minutes, not weeks)
Our Technology
Traditional Computer Vision approach requires a new model for every task:
Data collection, data labeling and model training
for every use case.
Amalgamation AI for Vision offers a new approach: Blueprints, not models;
compose a custom workflow of vision tools for every task
based on a simple text prompt.
Get Started in Minutes
from Cloud Trial to Real Deployment
Cloud – Try Instantly(coming soon)
Quick, real online experience
Cloud – Pilot on Your Site
Pilot with Fujitsu hardware at your site
On-Prem – Real Deploy
Real, full-scale deployment
Key Features:
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Prompt-First, Data-Light Configuration
- Plain Language Setup: No coding or machine learning expertise required. Operators can simply describe what to monitor (e.g., “flag missing screws on assembly line”).
- Rapid Blueprint Creation: Detection logic can be configured in hours using just a few sample images.
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Fast Validation & Tuning
- Instant Accuracy Check: Validate performance on real images before live deployment to reduce risk.
- Operator-Friendly Adjustments: Easily fine-tune sensitivity and correct false alarms for continuous improvement.
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Real-Time, Operator-First Deployment & Integration
- Flexible Connectivity: Connect to any camera and any line with simple controls.
- Immediate Action Triggers: Alerts via sound, email, or external monitors enable quick operator response, not just reporting.
- Unified Analytics: Track defect rates and performance trends to measure impact on KPIs.
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End-to-End Platform
- Integrated Solution: Software, edge server, and cloud work seamlessly—eliminating fragmented tools and handoffs.
- Repeatable Rollout: Standardized process from cloud test → PoC → multi-line enterprise integration.
Use Cases
End users turn to Amalgamation AI when they need to automate unique, high-stakes visual tasks for which no accurate off-the-shelf solution exists and traditional AI projects would be too slow or expensive.
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Quality Control in Manufacturing
- A medical device factory discovers a subtle new defect that existing vision systems can’t detect. With only 5 example images, the QC manager gives the task to Amalgamation AI. Within hours, a working prototype is created. Over the following days, the system improves through quick feedback loops and is deployed.
- Value: A critical inspection task is automated in under two weeks, avoiding production shutdowns and costly recalls with minimal engineering effort.
-
Large-Scale Equipment Inspection Support in Manufacturing
- One manufacturing company needed to conduct periodic inspections of thousands of production units installed across a large factory site. Traditional human inspections are slow, and a single AI model can’t handle the variety of issues. Amalgamation AI builds the right pipeline automatically, using a few examples and simple task descriptions. As drones collect new data, the system continuously learns and adapts.
- Value: Slow, manual equipment inspection was transformed into an efficient operation that supports — rather than replaces — human judgment, reducing inspector workload while lowering the risk of overlooked issues.
-
Quantity Counting in Logistics
- A logistics operator handled all quantity verification at shipping and receiving manually, and during peak seasons the burden and miscounts of visual checking became a real problem. Cardboard boxes and packed parcels vary in shape and size, and off-the-shelf counting tools couldn't accurately count stacked cargo. After a staff member provided just a few reference images along with the task, Amalgamation AI built a working pipeline within days, enabling high-accuracy counting of diverse cargo loaded in trucks and containers.
- Value: Automated quantity verification at shipping and receiving, dramatically cutting the time spent on visual counting. Reduced shipping errors and inventory discrepancies caused by miscounts, delivering stable verification operations even during peak seasons.
Case Studies
These example projects demonstrate Amalgamation AI’s ability to deliver exceptional results quickly.
Industrial Anomaly Detection
Detected anomalies of water, device component, coils with high accuracy using only few reference images.
Document Validation
Verified seals, stamps, and signatures with perfect accuracy using prompts alone (no reference data).
OCR on Metal
Accurately read serial numbers on metal bullion with a small model and only prompts.
Real-Time Wild Animal Detection
Successful real-time detection on a compact model.
Manufacturing Defect Detection
Demonstrated high-precision, real-time defect detection and notifications.
Incident Detection
Detected factory abnormalities (e.g., alarms, falling objects) successfully.
Materials/Links
- One-pager
- Walking deck
- Fujitsu Research Portal : Amalgamation AI
- Technical white paper(coming soon)
Note
(*1) Gartner® "Emerging Tech: AI Vendor Race: Tech Innovators in AI Vision Intelligence — Business Model Innovation", Nick Ingelbrecht et al., 08 May, 2026
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