THE ENTERPRISE AI COMPANY
We enable organizations to accelerate and scale through all phases in the Development, Operation and Governance of AI.
The AI Governance Handbook
Successfully implementing AI goes hand-in-hand with regulation and guideline compliance. Learn more about the need for AI Governance.
The Grace AI Platform Brochure
To succeed, you need to scale and accelerate multiple AI projects across your organization; for this, you need support from an Enterprise AI platform.
Robust and proven AI models
We help accelerate and scale your AI projects. These models could help get you started:
CHURN PREDICTION
Analyzing past client lifecycles and the likelihood of churn
PRICE PREDICTION
Determining the right price for a product or service
LEAD QUALIFICATION
Lowering acquisition costs and extending customer lifetime
MESSAGE ROUTING
Automatically routing messages to the correct recipients
PHRASE DETECTION
Screening documents for critical or forbidden phrases
TICKET SORTING
Identifying tickets with the highest importance
CUSTOMER CLASSIFICATION
Analyzing customer data to identify high-value clients
FRAUD PREDICTION
Classifying fraudulent transactions
PREDICTION OF LOAN REPAYMENT
Predicting payment ability to prevent non-paying customers
INSURANCE CLAIM REJECTION
Determining which claims to process and which to reject
We support your AI adoption
See how we have helped others provide stability, scalability, and flexibility in their AI projects.
Optimizing revenue opportunities in the product tanker shipping industry
INDUSTRY: SHIPPING
“Together with 2021.AI we are creating some of the most advanced and ambitious forecast models for the shipping industry. This collaboration offers new ways of increasing efficiencies running our global fleet. We are leveraging 2021.AI’s expertise in developing advanced forecast models.”
Peter Schrøder
Chief Digital Officer, Mærsk Tankers
Applying AI in the social services sector to improve quality and results
INDUSTRY: PUBLIC SECTOR
“Our data are, in nature, sensitive, which means that we have to be extra careful and ensure that they are only used according to data requirements and international guidelines. The EU’s data and AI guidelines combined with 2021.AI’s Grace platform proved to solve that challenge.”
Annica Blomsten
Socialdirektör, Norrtälje kommun
TRANSPORT OPERATOR
AI proved the interlinkage between fraudulent transactions to save costs and protect a public transport operator against cybercrime
INDUSTRY: TRANSPORTATION & LOGISTICS
“It was a huge challenge for us to find a method that proved the interlinkage of fraudulent transactions that were necessary to get coverage from the insurance company. ”
Senior VP, Public transportation operator
REGULATORY AUTHORITY
How a government regulatory authority will save 80% of its employees’ time on a routine process by using AI
INDUSTRY: PUBLIC SECTOR
By applying AI into the organization, employees at the front desk will be able to increase efficiency and productivity, as emails will instead be routed automatically without compromising the accuracy and quality of the handling. The lengthy process of manually routing 100 emails per day will be reduced significantly by automatic processing, which will route 84% of the emails.
SPAR NORD uses AI to cut emails handled by customer service by 50%
INDUSTRY: FINANCE
“We went from challenge to implementation and actual cost savings in a very short time span. We received an algorithm that was clean and easy to implement in less than a week. The collaboration with 2021.AI showed us that AI is the key for Spar Nord to remain competitive in the future.”
Leif Lind Simonsen
Communications & Business Dev. Director, SparNord
MINIFINANS predicts interest payments with 80% accuracy
INDUSTRY: FINANCE
“The advanced models developed by 2021.AI has saved us time and lowered risk, now we can assess loan seekers with up to 80% accuracy and reduce the risk of fraud. Having implemented several AI models via the Grace AI Platform positions us among the first in our business to do so, shaping our competitiveness and the future of our business.”
Mads Dahlerup
Founder, MINIFINANS
TRANSPORT OPERATOR
Developing an AI model to prevent customer churn within the public transportation industry
INDUSTRY: TRANSPORTATION & LOGISTICS
Based on specific insights into the factors that influence churn, the operator can take strategic and commercial actions for the future based on insights from previous customer behavior, as opposed to driving change through best guesses. Provided with this insight, the operator is equipped with a fantastic tool to improve overall customer experience, lower the churn rate, and thereby optimize cost, and grow revenue.
Improving sales-force effectiveness
INDUSTRY: MANUFACTURING
“Working with 2021.AI to deploy data-driven sales across Europe is a major step forward in driving a digital transformation through AI/Machine Learning."
Christian Kasbani Nakskov
Global Head of Digital, Lantmännen Unibake
The Enterprise approach to AI
Leverage standardized processes and workflows across your AI projects, including full model lifecycle management, combined with an AI Governance solution, that supports all aspects of the responsible use of AI.
Governance
Remaining compliant with regulatory requirements is critical in the AI life-cycle. A key element here is AI Governance.
Platform
Ensure an efficient, secure, and robust AI implementation, by standardizing processes and workflows across AI projects.
Models
Are you interested in standard models or perhaps looking into expanding to more advanced AI model development?
It’s not fake, it’s not artificial, it’s real news
Structural Bias in AI Models
Twitter recently came under fire due to structural bias in their cropping algorithm used to crop photos for the Twitter feed.
Disparate impacts in AI implementations
Every day, more and more decisions are made across the enterprise, and many of these decisions are made by algorithms within AI systems. Humans can unconsciously bring biases into their decision-making, and we must ensure that these are not reflected or further...
Fairness in AI
Bias in AI is and remains an increasing phenomenon. To overcome bias, you need to apply the aspect of fairness. This article will examine the legal frame, looking into specific nuances of fairness in AI.
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