INDUSTRY SPECIFIC SOLUTIONS
Greater insight into data is critical for healthcare professionals in delivering quality patient care. We can help you succeed with AI. For more information on how, check out our use cases for healthcare.
Support diagnostics by classifying images from CT scans, X-rays, and more
Find patterns in complex production patterns to increase output and reduce downtime
Search and classify documents to help identify areas for improvement
Fulfill comprehensive requirement set out in GxP and MDR (e.g., automating audit trail, bias rules, encryption of personal data)
Classify and detect germs via environmental samples to monitor the risk of production being non-compliant
Detect patients at risk by combining record data with live data from wearables (e.g., pacemaker, ICD)
Automate bias checks for a variety of data sources.
Supporting diagnostics by classifying images from CT scans, X-rays, and more
Detecting patients at risk by combining record data with live data from wearables (e.g., pacemaker, ICD)
Searching and classifying documents to help identify areas for improvement
Fulfilling comprehensive requirements set out in GxP and MDR (e.g., automating audit trail, bias rules, encryption of personal data)
Classifying and detecting germs via environmental samples to monitor the risk of production being non-compliant
Finding patterns in complex production patterns to increase output and reduce downtime
Automating bias checks for a variety of data sources
Accelerating your AI
adoption at scale
Grace is an enterprise AI platform that offers an efficient, secure, and robust AI adoption across your organization by standardizing processes and workflows.
Grace’s three core pillars
Successful AI adoption rests on three core pillars that provide the enterprise-grade quality and robustness you need to accelerate and orchestrate AI responsibly
ACCELERATE AI ADOPTION
Speed-up the implementation of AI and advanced analytics with the Asset Store’s ready-to-use solutions
Machine Learning Operations
ORCHESTRATE ENTERPRISE‑WIDE AI
Streamline, optimize, and manage model development, deployment, and operation pipelines for AI
Governance, Risk & Compliance
IMPLEMENT AI RESPONSIBLY
Ensure adherence to the growing number of global regulations, laws, and ethical guidelines for AI
Ready-to-use solutions for the healthcare industry
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.
Performs a quick and comprehensive scan within a directory or database to provide insights on Personal Identifiable Information (PII)
Derives meaningful information from digital visual inputs and takes actions or makes recommendations based on that information
Clinical radiology vision
Automates how complex patterns in imaging data are recognized and provides quantitative assessments of radiographic characteristics
Detects Personal Identifiable Information (PII) in text and removes it. It is an essential part of a pipeline when using text with PII
The Grace Standard Model for email categorization automates and optimizes email routing, ensuring that correspondence reaches the correct recipients with minimum human interaction. Furthermore, the company gets insights into what makes the model route the emails, which helps create an overview of content and relevance.
Categorizing emails with the help of an AI model has helped several of 2021.AI’s clients save time on routine processes, freeing time to focus on more value-creating tasks.
Out of 416 emails
DKK per year
hours saved per
employee per day
Prioritizing transparency and responsible use of predictive algorithms is key to applying leading-edge technologies safely in healthcare.
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.
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.
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.
Siv Nilsson Pedersen
AI ADVISOR, 2021.AI
As a specialized consumer analyst, Siv helps clients gain new insights on their market and clients.