INDUSTRY SPECIFIC SOLUTIONS
Life Science
Life Science companies are ideal candidates for sophisticated analytics as they are already well-instrumented with sensors, controllers, and historical data storage. Let’s help you succeed with your AI use cases of today and tomorrow.
Use cases
Document search
Search and classify documents to help identify areas for improvement
Predictive maintenance
Prevent equipment failures before they occur to minimize maintenance costs
Production planning
Find patterns in complex production patterns to increase output and reduce downtime
Environmental monitoring
Classify and detect germs via environmental samples to monitor the risk of production being non-compliant
Sorting & waste reduction
Optimize production lines to maximize the rate and quality of production
Inventory prediction
Predict the sale of goods to make recommendations for store inventory management
In-process controls
Perform checks during a production process for the purpose of monitoring and if necessary, adjusting the process to assure that the product conforms to its specifications
Increase output
Model patterns between input and output of the batches and analyzing performance parameters can increase output substantially
Use cases
Document search
Searching and classifying documents to help identify areas for improvement
In-process controls
Performing checks during a production process for the purpose of monitoring and if necessary, adjusting the process to assure that the product conforms to its specifications
Increase output
Modelling patterns between input and output of the batches and analyzing performance parameters can increase output substantially
Environmental monitoring
Classifying and detecting germs via environmental samples to monitor the risk of production being non-compliant
Sorting & waste reduction
Optimizing production lines to maximize the rate and quality of production
Inventory prediction
Predicting the sale of goods to make recommendations for store inventory management
Production planning
Finding patterns in complex production patterns to increase output and reduce downtime
Predictive maintenance
Preventing equipment failures before they occur to minimize maintenance costs
MODEL LIBRARY
Ready-to-use solutions for life sciences
With our model library, there is no need to develop everything from scratch yourself. Benefit from ready-to-use solutions, offering everything you need to kick-start and accelerate your AI projects.
PII Scanner
Governance
The Personal Identifiable Information (PII) scanner gives quick insights about PII within a directory or database
Code reviewer
Governance
Get feedback on the quality of the code you have written so you can improve it to make it stable and robust
Bias manager
Governance
Ensure data sources do not lead to unknown or unintended biases
Text anonymization
Governance
Model that detects personal information in text and removes it. It is an essential part of a pipeline when using text with PII
PII Scanner
Governance
The Personal Identifiable Information (PII) scanner gives quick insights about PII within a directory or database
Code reviewer
Governance
Get feedback on the quality of the code you have written so you can improve it to make it stable and robust
Bias manager
Governance
Ensure data sources do not lead to unknown or unintended biases
Text anonymization
Governance
Model that detects personal information in text and removes it. It is an essential part of a pipeline when using text with PII
VISIT OUR LIBRARY OF READY-TO-USE MODELS
USE CASE
Scrap reduction
Maximize your production processes with an AI model that identifies parameters that can be optimized in the manufacturing line.
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The value of AI in Life Science lies in reducing product defects, automating quality controls, increasing capacity and streamlining maintenance while handling personal data in a responsible way.
Regulatory attention on emerging technologies and their applications is increasing
Organizations working with emerging technologies, such as AI, can expect more external requirements for transparency on how they use them, which will require added governance, risk & compliance capabilities.
Traditional compliance system
When it comes to monitoring and documenting the use of emerging technologies, traditional compliance systems have blind spots:
Lack transparent information about how models operate
Model results, including whether they are accurate and fair, are not tracked or measured
Producing a compliant Data Protection Impact Assessment (DPIA) is not possible
Compliance protection by design principles or guidelines are not available
GRACE’s Tech GRC system
With Governance, Risk & Compliance measures at its core, GRACE makes it easy to monitor and document how emerging technologies are applied:
Full transparency on how models operate
Solution and risk controls in place, allowing a complete overview of any operational measures of a model
Process and solution to ensure that all relevant stakeholders fill in DPIA and other mandatory assessments
Solution enhancing compliance with data protection at its core
Comply with existing and new regulations
With ready-to-apply impact assessments, rules & requirements, and certifications for various regulatory frameworks, GRACE makes it easy to build policy-guided workflows and guardrails into your AI development process to ensure adherence with regulations.
Client stories
Delivering measurable business value
Discover how we help clients optimize costs, increase revenue, and address risks.
Connect with our experts
Our business experts are ready to answer your questions, provide advice, and offer insights. Please leave your contact details, and we will connect to set up a virtual one-on-one.
Kim Tosti
AI ADVISOR, 2021.AI
For 20+ years, Kim operated as a noteworthy leader in the pharma space. He is passionate about guiding executives to be successful with disruptive technologies.