INTRODUCING GRACE
Accelerating business value from AI with trust and assurance
With our AI platform, GRACE, organizations solve some of the most complex business challenges while ensuring responsible, transparent, and trustworthy use of the implemented AI and related data.
The benefits of having GRACE on your team
EFFICIENCY
60–80%
Efficiency increase through with GRACE compared to other solutions
BUSINESS VALUE
80%
Savings on labor costs if you buy rather than build from scratch
GOVERNANCE
Battle “Shadow AI” – i.e., AI that is not officially known or under the control of the IT department
SIMPLICITY
Simplify the complexity of having multiple models in production
Build from scratch
INCREMENTAL AI ADOPTION
Complex integration and setup
Lengthy time to production
Need for in-house DevOps and engineers
Difficulties in responding to shifts in the regulatory or technological landscape
Endless development cycles and trouble generating a return
Invest in GRACE
EXPONENTIAL AI ADOPTION
Out-of-the-box AI infrastructure
Speed up time to production
Decrease the need for multiple tools and licenses
Implement regulatory or technology requirements across projects with a comprehensive supportive framework
Streamline Data Science, ML, and model lifecycle management
Explore how an AI platform brings value to stakeholders across your organization




The GRACE components you need, when you need them
A natural starting point for most is to deliver business value from one or more AI models. The next step is typically to efficiently deploy and operate AI models in production, respecting and complying with the growing number of global legislations and ethical guidelines for AI and related data. This is precisely what we offer to share with you and your organization with our GRACE platform.


Models
DEVELOPMENT & READY‑TO‑USE MODELS
Accelerate model development by tapping into our Data Science expertise and ready-to-use models
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MLOps platform
LIFECYCLE MANAGEMENT & INTEGRATION
Efficiently develop, deploy, operate, and integrate models into existing IT infrastructure
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Governance
GOVERNANCE, RISK & COMPLIANCE
Assure and verify that models adhere to regulations and ethical guidelines for AI and related data
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