Overview

Product video
Companies increasingly rely on bespoke AI solutions for domain-specific operations, but face significant implementation challenges. Organizations struggle with integration chaos, data silos, and generic AI tools that lack pre-built domain expertise. The heavy lifting required for setup, configuration, and governance creates quality gaps and compliance risks, pushing ROI out by quarters instead of weeks, multiplying hidden costs, and allowing competitors to move faster while teams revert to manual processes. Graphbook, Cerbrec's AI intelligence platform addresses these barriers through pre-configured, turnkey agent systems built for enterprise operations. The platform provides end-to-end architecture from AWS infrastructure to domain-specific applications, with an intelligent orchestration layer that combines leading AI models into custom agents for specific business requirements. By delivering built-in domain intelligence, native integrations, and governance controls ready for immediate deployment, Cerbrec enables organizations to access advanced AI capabilities at a fraction of custom development costs, going live in days rather than months with proven ROI demonstrated across Fortune 500 companies and leading enterprises.
Highlights
- Make better decisions with AI agents that deliver insights precisely tailored to your domain, uncovering hidden risks and opportunities that traditional analysis misses. Pre-configured systems build strategies on reliable insights, providing the depth of insight needed for critical business decisions.
- Save time and money by automating labor-intensive analysis while empowering your existing teams to perform advanced AI operations without specialized expertise. Organizations dramatically accelerate their AI adoption, deploying enterprise-grade capabilities at a fraction of traditional development costs while achieving measurable ROI from day one.
- Adapt on demand as your business evolves, with an intelligent orchestration layer that seamlessly responds to changing requirements and new use cases. Deepen insights through simple prompts while maintaining full transparency into AI reasoning and decision-making processes via diagrams.
Details
Unlock automation with AI agent solutions

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Subscription is not refundable. For further questions, please contact support@cerbrec.com .
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Delivery details
Helm Templates for Installation
- Amazon EKS
Helm chart
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
For product details, please visit https://cerbrec.com .
Additional details
Usage instructions
Cerbrec Graphbook - Deployment Instructions Prerequisites Amazon EKS cluster (Kubernetes 1.21+) Helm 3.8+ installed locally kubectl configured for EKS access License key required (contact support@cerbrec.com ) Notice: Requires internet connectivity for deployment dependencies and ongoing license validation.
Installation Step 1: Install Helm curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3Â | bash Details: https://helm.sh/docs/intro/installÂ
Step 2: Deploy Helm Chart
helm install cerbrec-graphbook
oci://709825985650.dkr.ecr.us-east-1.amazonaws.com/cerbrec/customer-helm
--version YOUR_VERSION
--namespace cerbrec
--create-namespace
--kube-context YOUR_CONTEXT
Example:
helm install cerbrec-graphbook
oci://709825985650.dkr.ecr.us-east-1.amazonaws.com/cerbrec/customer-helm
--version 0.1
--namespace cerbrec
--create-namespace
Step 3: Verify Deployment helm status cerbrec-graphbook -n cerbrec kubectl get pods -n cerbrec
Configuration Container images follow AWS Marketplace regionalization standards. Images are defined in values.yaml for automatic multi-region deployment. Default values.yaml structure:
Container images (auto-regionalized by AWS)
image: registry: "709825985650.dkr.ecr.us-east-1.amazonaws.com" repository: "cerbrec/graphbook" tag: "v1.0.0" pullPolicy: IfNotPresent
service: type: LoadBalancer port: 8080
replicaCount: 2
resources: limits: cpu: 2000m memory: 4Gi requests: cpu: 1000m memory: 2Gi
persistence: enabled: true size: 10Gi Custom Deployment: Create custom-values.yaml: replicaCount: 3 service: port: 8080 annotations: service.beta.kubernetes.io/aws-load-balancer-type: "nlb"
Deploy:
helm install cerbrec-graphbook
oci://709825985650.dkr.ecr.us-east-1.amazonaws.com/cerbrec/customer-helm
--version YOUR_VERSION
--namespace cerbrec
--values custom-values.yaml
Multi-Region Support
AWS Marketplace automatically handles regionalization. The Helm chart uses correct regional ECR repositories based on your cluster location: US East: 709825985650.dkr.ecr.us-east-1.amazonaws.com US West: 709825985650.dkr.ecr.us-west-2.amazonaws.com EU Frankfurt: 709825985650.dkr.ecr.eu-central-1.amazonaws.com
Post-Deployment
Access service endpoint shown in helm status output Enter license key when prompted Optional: Download client app from https://cerbrec.com/downloadÂ
Important Notes
All container images included via AWS Marketplace (no external registries required) Image references defined exclusively in values.yaml for AWS regionalization compliance Helm templates use {{ .Values.image.registry }}/{{ .Values.image.repository }}:{{ .Values.image.tag }} Requires persistent internet connectivity for license validation
Support Documentation: https://cerbrec.com/documentation Getting Started: https://docs.cerbrec.com/get-started Support: support@cerbrec.comÂ
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Live support via chat and call. For email support, please contact support@cerbrec.com .
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