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

ASSET STORE

Ready-to-use solutions for life sciences

With our Asset Store, 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

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.

Kim Tosti, AI Advisor at 2021.AI

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:

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Lack transparent information about how models operate

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Model results, including whether they are accurate and fair, are not tracked or measured

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Producing a compliant Data Protection Impact Assessment (DPIA) is not possible

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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:

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Full transparency on how models operate

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Solution and risk controls in place, allowing a complete overview of any operational measures of a model

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Process and solution to ensure that all relevant stakeholders fill in DPIA and other mandatory assessments

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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

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.