Microsoft Azure
Container Apps or AKS, API Management, Cosmos DB or PostgreSQL, Entra ID, Azure AI Foundry, Application Insights, Key Vault.
Partners · Cloud and technology
From AI Use CaseTo Cloud Workload
We have industrialized the path from a customer's AI use case to a deployable cloud application. That makes AI demand repeatable cloud consumption.
Co-Sell Motion
How a Cloud Account Team Uses the Factory
Understandable in less than a minute.
01
Customer AI Demand
For example, a bank with an AI backlog.
02
Application Family
Such as Financial Services AI.
03
Closest Foundations
Select the closest one to three existing application foundations.
04
Requirements Delta
Define the customer-specific gap.
05
Deploy
Run it on the customer's chosen cloud.
Deployment Patterns
Cloud Deployment Profiles
Each application foundation maps to a reference deployment pattern for the major clouds.
AWS
ECS or EKS, API Gateway, DynamoDB or RDS, IAM Identity Center or Cognito, Amazon Bedrock, CloudWatch, Secrets Manager.
Google Cloud
Cloud Run or GKE, API Gateway, Firestore or Cloud SQL, Identity Platform, Vertex AI, Cloud Monitoring, Secret Manager.
Technology Partners
Technology Vendors and Platforms
Your technology is installed. We build the enterprise application and workflow layer around it.
- AI, data and model platforms
- Enterprise application platforms such as ERP, CRM and ITSM
- Custody, KYC/KYB, KYT and Travel Rule providers for digital-asset operators
- Managed service providers that run the applications once they are deployed
Next Step
Turn AI Demand Into Workloads
Let's map your customers' AI backlogs to application families your field teams can take to market.
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