Overview
RDC.AI is transforming the way banks approach business and commercial banking. Our AI-powered platform delivers data-driven insight at speed, helping banks make sharper decisions, streamline processes, and unlock growth.
Built on explainable AI, our platform replaces outdated, subjective methods with intelligent automation that scales. From origination to monitoring, RDC.AI brings consistency, transparency, and control across the entire lending lifecycle.
RDC.AI Cowork provides a collaborative workspace for business and commercial banking, where bankers and governed agents work together on complex and high value decisions: the banker sets the task and makes the decision, the agents do the work safely and transparently, on the bank's own curated data, policy and knowledge.
Our Portfolio Intelligence solution gives you a real-time view of credit health across both customers and portfolios. With features like Automated Reviews, Renewals, Lead Limits, and Early Warnings, lenders can move faster, stay compliant, and identify opportunities earlier. It is how banks turn complex data into precise, actionable decisions.
Built on AWS, including Amazon Bedrock, Amazon Bedrock AgentCore and Anthropic Claude
For custom pricing, please email conversation@rdc.ai , request a private offer on this page, or contact your AWS account manager.
Highlights
- Safety: MRM-style governed agentic and predictive AI, with Glass Box explainability. RDC.AI's unique Self-Describing Decisions underpin the needs of safe AI usage.
- Speed: Ability to deploy with a banks ecosystem quickly to time to value. RDC.AI provides solution blurprints that accelerate implemenation by leveaging domain experience serving the needs of business and commercial banks.
- Accurate: Precision in decisioning for the core of business and commercial banking. With all sessions explicitly logs and inclusive of all inputs and outputs, RDC.AI's approach meets the needs of regulated entities.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/36 months |
|---|---|---|
RDC.AI Platform - Core | The Core platform encompasses Genesis, Solution blueprints, and RDC.AI Cowork | $5,000,000.00 |
Vendor refund policy
N/A
Custom pricing options
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Delivery details
RDC Platform container images
- Amazon EKS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
RDC Platform 12.0.0 for Amazon EKS: the container images for config-server, gateway-server, authorization-server, admin-service, cde-service and core-service, for an existing Amazon EKS cluster on Kubernetes 1.37 with amd64 nodes, running against Amazon Aurora MySQL version 3 and Amazon ElastiCache Serverless for Valkey 9 in your own account.
The installation package, rdc-platform-install.zip, which RDC provides, carries the installation guide, database scripts, application configuration and email templates. The DCC portal is supplied separately as dcc-portal.zip, a zip of static files for your own web server.
Additional details
Usage instructions
Download rdc-platform-install.zip from the presigned URL RDC provides and check its SHA-256 is . It carries the installation guide, database scripts, application configuration and email templates.
Prepare the cluster and your AWS account as the installation guide describes: amd64 nodes, the AWS Load Balancer Controller, the Secrets Store CSI driver with its AWS provider, cert-manager 1.15.0 or later, and an IAM OIDC provider; then Aurora MySQL with the release's parameter group, ElastiCache Serverless for Valkey, the S3 buckets, DynamoDB tables, KMS key, SES identity and templates, ACM certificate and IAM roles for service accounts. Run the release's database scripts, store the rendered credentials in AWS Secrets Manager, and create the application configuration ConfigMaps.
Pull the images:
aws ecr get-login-password --region us-east-1 | docker login --username AWS --password-stdin 709825985650.dkr.ecr.us-east-1.amazonaws.com docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/rdc-ai/rdc-platform/:12.0.0
where is admin-service, authorization-server, cde-service, config-server, core-service or gateway-server.
The services need these Kubernetes resources in a namespace named -: a service account per service with its IAM role, a Role and RoleBindings for service discovery, a SecretProviderClass per service and for the TLS passwords, a cert-manager Issuer and Certificate for the services' keystores, a Deployment and Service per service, and an ALB ingress for the API host. Render them from the RDC Platform Helm chart with your values and apply them with your own tooling; the application configuration ConfigMaps are created as the installation guide describes:
aws ecr get-login-password --region us-east-1 | helm registry login --username AWS --password-stdin 709825985650.dkr.ecr.us-east-1.amazonaws.com helm template rdc-platform oci://709825985650.dkr.ecr.us-east-1.amazonaws.com/rdc-ai/rdc-platform/charts/rdc-platform --version 12.0.0 --namespace - -f values.yaml > rdc-platform.yaml
Every service reaches ready within a few minutes; admin-service, cde-service and core-service may restart a few times while authorization-server comes up. Point the API's DNS record at the load balancer the ingress creates.
The DCC portal is a zip of static files served from your own web server. Download dcc-portal.zip from the presigned URL RDC provides, check its SHA-256 is b27c1e775b037a67dd0e22aea820e2b6e2fa6b65f7161b6e82e556d1030ad3d3, and fill its placeholders as the guide describes.
Support
Vendor support
RDC.AI offers comprehensive support designed to meet the needs of every customer. With dedicated teams in Australia and the United States, we are equipped to assist organizations across the globe. Please reach out to conversation@rdc.ai for more information
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
