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Philadelphia
3
Processes & Products
See more
Explore the lists of all production processes connected to Katalyze RMC system.
Average Batch Rating
4.43
5% MoM
Number Batches Runs
159
8% MoM
Batches above Target
76%
12% MoM
Lab Tests Missing
1
33% MoM
Average Yield
Actual Yield Average
Predicted Yield Average
60
58
56
54
52
50
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Products List
Building
B89
B100
B90
B91
B92
Drug
5cP
Diphtheria
Levothyroxine
Diphtheria
Levothyroxine
Average Rating
4.61
4.23
4.15
4.15
4.15
Batch Runs
73
43
43
44
43
Category
Ingredient
Vaccine
Medicine
Medicine
Medicine
Raw Materials
See more
Explore the lists of all production processes connected to Katalyze RMC system.
Average Material Rating
4.21
20% MoM
Monthly RM Batches
8
20% MoM
Deviations Caused by RM
11
12% MoM
Batches missing COA
3
25% MoM
In Stock Raw Material
% of Storage Capacity
100
80
60
40
20
0
Casamino Acid
NZ Amine ‘A’
Dimethylamine
Caffeine anhydrous
Microcrystalline Cellulose
Raw Materials
GMID
691380
691390
807138
807139
807138
Material Designation
Casamino Acid
NZ Amine ‘A’
Dimethylamine
Casamino Acid
Dimethylamine
Average Rating
4.61
4.83
4.63
4.21
4.15
Vendor
Thermo Fisher
+2
Kerry Inc.
Thermo Fisher
Thermo Fisher
Thermo Fisher
Technology
Processes
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Technology
Home
Processes
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⌘/
Philadelphia
3
Processes & Products
See more
Explore the lists of all production processes connected to Katalyze RMC system.
Average Batch Rating
4.43
5% MoM
Number Batches Runs
159
8% MoM
Batches above Target
76%
12% MoM
Lab Tests Missing
1
33% MoM
Average Yield
Actual Yield Average
Predicted Yield Average
60
58
56
54
52
50
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Products List
Building
B89
B100
B90
B91
B92
Drug
5cP
Diphtheria
Levothyroxine
Diphtheria
Levothyroxine
Average Rating
4.61
4.23
4.15
4.15
4.15
Batch Runs
73
43
43
44
43
Category
Ingredient
Vaccine
Medicine
Medicine
Medicine
Raw Materials
See more
Explore the lists of all production processes connected to Katalyze RMC system.
Average Material Rating
4.21
20% MoM
Monthly RM Batches
8
20% MoM
Deviations Caused by RM
11
12% MoM
Batches missing COA
3
25% MoM
In Stock Raw Material
% of Storage Capacity
100
80
60
40
20
0
Casamino Acid
NZ Amine ‘A’
Dimethylamine
Caffeine anhydrous
Microcrystalline Cellulose
Raw Materials
GMID
691380
691390
807138
807139
807138
Material Designation
Casamino Acid
NZ Amine ‘A’
Dimethylamine
Casamino Acid
Dimethylamine
Average Rating
4.61
4.83
4.63
4.21
4.15
Vendor
Thermo Fisher
+2
Kerry Inc.
Thermo Fisher
Thermo Fisher
Thermo Fisher
Technology
Processes
People
Technology
Home
Processes
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Documents
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⌘/
Philadelphia
3
Processes & Products
See more
Explore the lists of all production processes connected to Katalyze RMC system.
Average Batch Rating
4.43
5% MoM
Number Batches Runs
159
8% MoM
Batches above Target
76%
12% MoM
Lab Tests Missing
1
33% MoM
Average Yield
Actual Yield Average
Predicted Yield Average
60
58
56
54
52
50
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Products List
Building
B89
B100
B90
B91
B92
Drug
5cP
Diphtheria
Levothyroxine
Diphtheria
Levothyroxine
Average Rating
4.61
4.23
4.15
4.15
4.15
Batch Runs
73
43
43
44
43
Category
Ingredient
Vaccine
Medicine
Medicine
Medicine
Raw Materials
See more
Explore the lists of all production processes connected to Katalyze RMC system.
Average Material Rating
4.21
20% MoM
Monthly RM Batches
8
20% MoM
Deviations Caused by RM
11
12% MoM
Batches missing COA
3
25% MoM
In Stock Raw Material
% of Storage Capacity
100
80
60
40
20
0
Casamino Acid
NZ Amine ‘A’
Dimethylamine
Caffeine anhydrous
Microcrystalline Cellulose
Raw Materials
GMID
691380
691390
807138
807139
807138
Material Designation
Casamino Acid
NZ Amine ‘A’
Dimethylamine
Casamino Acid
Dimethylamine
Average Rating
4.61
4.83
4.63
4.21
4.15
Vendor
Thermo Fisher
+2
Kerry Inc.
Thermo Fisher
Thermo Fisher
Thermo Fisher
With AI, Empower Your
Technology
Processes
People
Technology
Home
Processes
Raw Materials
Suppliers
Documents
Search
⌘/
Philadelphia
3
Processes & Products
See more
Explore the lists of all production processes connected to Katalyze RMC system.
Average Batch Rating
4.43
5% MoM
Number Batches Runs
159
8% MoM
Batches above Target
76%
12% MoM
Lab Tests Missing
1
33% MoM
Average Yield
Actual Yield Average
Predicted Yield Average
60
58
56
54
52
50
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Products List
Building
B89
B100
B90
B91
B92
Drug
5cP
Diphtheria
Levothyroxine
Diphtheria
Levothyroxine
Average Rating
4.61
4.23
4.15
4.15
4.15
Batch Runs
73
43
43
44
43
Category
Ingredient
Vaccine
Medicine
Medicine
Medicine
Raw Materials
See more
Explore the lists of all production processes connected to Katalyze RMC system.
Average Material Rating
4.21
20% MoM
Monthly RM Batches
8
20% MoM
Deviations Caused by RM
11
12% MoM
Batches missing COA
3
25% MoM
In Stock Raw Material
% of Storage Capacity
100
80
60
40
20
0
Casamino Acid
NZ Amine ‘A’
Dimethylamine
Caffeine anhydrous
Microcrystalline Cellulose
Raw Materials
GMID
691380
691390
807138
807139
807138
Material Designation
Casamino Acid
NZ Amine ‘A’
Dimethylamine
Casamino Acid
Dimethylamine
Average Rating
4.61
4.83
4.63
4.21
4.15
Vendor
Thermo Fisher
+2
Kerry Inc.
Thermo Fisher
Thermo Fisher
Thermo Fisher
Trusted by leading organizations
Reactive Problem-Solving in Biomanufacturing
Reactive Problem-Solving in Biomanufacturing
Challenge
Reactive Problem-Solving in Biomanufacturing
Investigating process deviations, yield fluctuations, and out-of-spec (OOS) results is time-consuming and relies on fragmented data. Without a system that connects process data, raw material attributes, and documented knowledge, root cause analysis and optimization remain reactive and inefficient.
Goals
AI-Driven Process Optimization and Predictive Insights
Process Optimization AI integrates process data, raw material attributes, and key documentation (SOPs, CAPAs, deviations, release notes) into a unified system. Using AI-powered root cause analysis and predictive modeling, it helps MSATs and Engineers identify risks, optimize yield, and prevent quality issues in real time.
What does Process Optimization do?
What does Process Optimization do?
What does Process Optimization do?
Physics-Informed AI for Process Optimization and Root Cause Analysis
Physics-Informed AI for Process Optimization and Root Cause Analysis
Physics-Informed AI for Process Optimization and Root Cause Analysis
Process Optimization AI uses Physics-Informed AI (PIAI) to integrate raw material data, process parameters, and critical documentation (SOPs, CAPAs, deviation reports). By embedding scientific principles and historical process knowledge, it identifies similar past deviations, analyzes contributing factors, and provides probability-based root cause explanations.With real-time data, it delivers early warnings, batch optimization recommendations, and proactive insights to improve yield, quality, and efficiency.
Process Optimization AI uses Physics-Informed AI (PIAI) to integrate raw material data, process parameters, and critical documentation (SOPs, CAPAs, deviation reports). By embedding scientific principles and historical process knowledge, it identifies similar past deviations, analyzes contributing factors, and provides probability-based root cause explanations.With real-time data, it delivers early warnings, batch optimization recommendations, and proactive insights to improve yield, quality, and efficiency.
1
1
1
Reduced investigation time
Reduced investigation time
Reduced investigation time
2
2
2
proactive deviation prevention
proactive deviation prevention
proactive deviation prevention
3
3
3
data-driven root cause analysis
data-driven root cause analysis
data-driven root cause analysis
4
4
4
optimized batch usage
optimized batch usage
optimized batch usage
5
5
5
improved yield and quality
improved yield and quality
improved yield and quality
Raw Material AI
Key features
Root Cause Analysis Automation
Analyzes past deviations, identifies contributing factors, and provides probability-based root cause explanations, reducing investigation time and human effort.
Root Cause Analysis Automation
Predictive Monitoring & Alerts
Batch Optimization Recommendations
Scalability & Integration
Root Cause Analysis Automation
Analyzes past deviations, identifies contributing factors, and provides probability-based root cause explanations, reducing investigation time and human effort.
Root Cause Analysis Automation
Predictive Monitoring & Alerts
Batch Optimization Recommendations
Scalability & Integration
Root Cause Analysis Automation
Analyzes past deviations, identifies contributing factors, and provides probability-based root cause explanations, reducing investigation time and human effort.
Root Cause Analysis Automation
Predictive Monitoring & Alerts
Optimization Recommendations
Scalability & Integration
Root Cause Analysis Automation
Analyzes past deviations, identifies contributing factors, and provides probability-based root cause explanations, reducing investigation time and human effort.
Root Cause Analysis Automation
Predictive Monitoring & Alerts
Optimization Recommendations
Scalability & Integration
FAQ
What is Process Optimization AI?
How does Process Optimization AI help with root cause analysis?
Can Process Optimization AI predict future deviations?
How does the model optimize batch usage?
Who benefits from Process Optimization AI?
How does it integrate with existing manufacturing systems?
What makes Process Optimization AI different from traditional problem-solving approaches?
Can the model provide real-time monitoring and alerts?
How does Process Optimization AI support continuous process improvement?
How can I get started with Process Optimization AI?
What is Process Optimization AI?
How does Process Optimization AI help with root cause analysis?
Can Process Optimization AI predict future deviations?
How does the model optimize batch usage?
Who benefits from Process Optimization AI?
How does it integrate with existing manufacturing systems?
What makes Process Optimization AI different from traditional problem-solving approaches?
Can the model provide real-time monitoring and alerts?
How does Process Optimization AI support continuous process improvement?
How can I get started with Process Optimization AI?
What is Process Optimization AI?
How does Process Optimization AI help with root cause analysis?
Can Process Optimization AI predict future deviations?
How does the model optimize batch usage?
Who benefits from Process Optimization AI?
How does it integrate with existing manufacturing systems?
What makes Process Optimization AI different from traditional problem-solving approaches?
Can the model provide real-time monitoring and alerts?
How does Process Optimization AI support continuous process improvement?
How can I get started with Process Optimization AI?
What is Process Optimization AI?
How does Process Optimization AI help with root cause analysis?
Can Process Optimization AI predict future deviations?
How does the model optimize batch usage?
Who benefits from Process Optimization AI?
How does it integrate with existing manufacturing systems?
What makes Process Optimization AI different from traditional problem-solving approaches?
Can the model provide real-time monitoring and alerts?
How does Process Optimization AI support continuous process improvement?
How can I get started with Process Optimization AI?