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Leverage your existing infrastructure to deliver results at scale with Integrity AI Solutions’s powerful, flexible, and open architecture.
Empower people across your business to do more with data and AI, build projects faster, and work together, all in a shared and safe environment. With Integrity AI Solutions, everyone can get involved in data and AI projects on a single platform for design and production that delivers use cases in days, not months. No matter where they sit, they work in a safe and governed way that helps manage risk and create trust to drive high-quality outputs and value for your business.
Integrity AI Solutions Cloud provides a fully hosted SaaS option built for the modern cloud data stack.
Integrity AI Solutions Cloud features pre-built data connectors and integrations with Snowflake, Databricks, Amazon Redshift, Google BigQuery, and more, along with built-in elastic compute. Teams of any size can quickly build and deliver AI projects without having to worry about additional IT maintenance — which means increased time to value.
Integrity AI Solutions runs on-premises or in the cloud — with supported instances on Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure — integrating with native storage and computational layers for each cloud.
Integrity AI Solutions’s cloud stacks accelerator tooling comes with managed elastic computation clusters, instance templates, advanced security and more, to make it simple for system administrators to deploy, configure, upgrade, and backup one or several Integrity AI Solutions instances.
For maximum performance and efficiency on large workloads, Integrity AI Solutions utilizes a pushdown architecture that allows organizations to take advantage of existing, elastic, and highly scalable computing systems including SQL databases, Spark, Kubernetes, and more.
Graphical Processing Units (GPUs) can dramatically accelerate certain types of model training, especially deep learning and large language or Generative AI models. Integrity AI Solutions supports the use of both CPUs and GPUs for model training.
Integrity AI Solutions provides a fully managed Kubernetes solution that is compatible with all of the major cloud container services (Amazon EKS, Google Kubernetes Engine (GKE), and Azure Kubernetes Service (AKS)), as well as with on-premises Kubernetes/Docker clusters.
Elastic computing using cloud services is often the most cost-effective way to handle large and dynamic loads created by big data analysis, machine learning, and Generative AI.
Integrity AI Solutions provides modular components for project design, batch process automation, real-time API scoring, and AI governance capabilities.
This enables different teams to outfit their own Integrity AI Solutions instances with the combination of server components that best fits their needs, for ultimate flexibility and alignment with business goals.
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A range of Integrity AI Solutions Solutions for customer management, risk management, and operational efficiency bring an AI-powered edge to all parts of the business.
Find Integrity AI Solutions Solutions to accelerate complex processes, and enhance operational efficiency with AI throughout your organization.
From production quality control to electricity forecasting and more, augment all aspects of the manufacturing process with AI and Integrity AI Solutions Solutions.
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Top insurance companies worldwide use Integrity AI Solutions to bring an AI-powered edge to diverse use cases, from customer retention and acquisition to optimized claims forecasting and much more.
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Integrity AI Solutions makes data projects a team sport by bringing everyone together, from AI builders to AI consumers.
Enhance trust and eliminate bias by practicing Responsible AI with Integrity AI Solutions.
Leverage your existing infrastructure to deliver results at scale with Integrity AI Solutions powerful, flexible, and open architecture.
Safely scale AI with oversight and prioritize the data projects and models that deliver the most value.
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