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    Wexa Fabric

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    Sold by: Wexa AI 
    Deployed on AWS
    High-speed context governance platform for AI agents with sovereign infrastructure and secure data controls.

    Overview

    AI agents and enterprise applications depend on fast, trustworthy, and governed context to make decisions. Without strong context governance, organizations face increased security risk, inconsistent outputs, compliance exposure, and operational delays across AI workflows.

    Wexa is a high-performance context governance platform designed to help enterprises manage, secure, and govern AI context before any agent takes action. Built on Wexa proprietary database technology, the platform delivers low-latency access to governed enterprise context while maintaining sovereignty and infrastructure control.

    Wexa enables organizations to deploy AI systems with confidence by centralizing context management, enforcing governance policies, and supporting secure enterprise-scale operations. The platform is optimized for organizations that require fast data processing, strong governance controls, and infrastructure sovereignty for AI-driven workloads.

    Highlights

    • Govern AI context before agent execution
    • High speed proprietary database optimized for AI workloads
    • AWS compatible deployment model for scalable enterprise AI operations

    Details

    Sold by

    Delivery method

    Supported services

    Delivery option
    Wexa Fabric on Amazon EKS (Helm)

    Latest version

    Operating system
    Linux

    Deployed on AWS
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    Pricing

    Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    This is a Bring Your Own License (BYOL) product. Refunds for the software license are subject to the terms and conditions agreed upon between the customer and Wexa. Please contact support@wexa.ai  for any refund-related requests.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Wexa Fabric on Amazon EKS (Helm)

    Supported services: Learn more 
    • Amazon EKS
    • Amazon EKS Anywhere
    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

    Patched all the images with r2 security context and helm chart

    Additional details

    Usage instructions

    WEXA FABRIC ON AMAZON EKS - INSTALLATION

    Fabric installs into your existing EKS cluster with Helm. Do the steps in order: prerequisites, storage, IAM, license, install, DNS, verify.

    STEP 1 - PREREQUISITES

    Tools:

    • Amazon EKS cluster
    • kubectl, Helm v3.19+, AWS CLI v2
    • IAM permission to create roles and policies
    • Your AWS Account ID
    • An S3 bucket for Knowledge Base files

    Cluster add-ons:

    • OIDC provider enabled (IRSA)
    • AWS Load Balancer Controller
    • Amazon EBS CSI Driver
    • A default StorageClass
    • About 160 GiB of persistent storage

    Nodes:

    • 7x m6i.xlarge or larger for general workloads
    • 1x c6i.16xlarge or larger, dedicated to CognoDB

    STEP 2 - STORAGE

    Skip this if you already have a default StorageClass. Otherwise save the following as storageclass.yaml:

    apiVersion: storage.k8s.io/v1 kind: StorageClass metadata: name: gp3 annotations: storageclass.kubernetes.io/is-default-class: "true" provisioner: ebs.csi.aws.com volumeBindingMode: WaitForFirstConsumer allowVolumeExpansion: true reclaimPolicy: Delete parameters: type: gp3 encrypted: "true"

    Apply it:

    kubectl apply -f storageclass.yaml

    STEP 3 - IAM ROLES (IRSA)

    Create 4 IRSA roles, one per service account:

    • fabric-license-gate license-manager:CheckoutLicense, CheckInLicense

    • fabric-litellm bedrock:InvokeModel, InvokeModelWithResponseStream, Converse, ConverseStream, ListFoundationModels

    • fabric-data-service secretsmanager:CreateSecret, DescribeSecret, GetSecretValue, PutSecretValue, UpdateSecret, DeleteSecret S3 read/write limited to your Knowledge Base bucket

    • kube-system/aws-load-balancer-controller Standard AWS Load Balancer Controller IAM policy

    STEP 4 - LICENSE

    Email support@wexa.ai  with your AWS Account ID, company name and number of seats. You will receive a Grant ARN and a License ARN.

    Accept the grant:

    aws license-manager accept-grant --grant-arn <GRANT_ARN> --region us-east-1

    Activate it:

    aws license-manager create-grant-version --grant-arn <GRANT_ARN> --status ACTIVE --client-token "$(uuidgen)" --region us-east-1

    The grant must be ACTIVE before you install.

    STEP 5 - INSTALL

    Log in to the registry:

    aws ecr get-login-password --region us-east-1 | helm registry login --username AWS --password-stdin 709825985650.dkr.ecr.us-east-1.amazonaws.com

    Install. Replace <AWS_ACCOUNT_ID>, <LICENSE_ARN>, <KB_BUCKET_NAME> and fabric.yourcompany.com with your values:

    helm install fabric oci://709825985650.dkr.ecr.us-east-1.amazonaws.com/wexa-ai/fabric
    --version 1.0.7
    --namespace fabric --create-namespace
    --set ingress.host=fabric.yourcompany.com
    --set license.licenseArn="<LICENSE_ARN>"
    --set services.license-gate.serviceAccount.annotations."eks.amazonaws.com/role-arn"="arn:aws:iam::<AWS_ACCOUNT_ID>:role/fabric-license-manager-irsa"
    --set services.litellm.serviceAccount.annotations."eks.amazonaws.com/role-arn"="arn:aws:iam::<AWS_ACCOUNT_ID>:role/fabric-bedrock-irsa"
    --set services.data-service.serviceAccount.annotations."eks.amazonaws.com/role-arn"="arn:aws:iam::<AWS_ACCOUNT_ID>:role/fabric-data-service-secrets-irsa"
    --set aws.s3BucketName="<KB_BUCKET_NAME>"
    --timeout 15m

    STEP 6 - DNS

    Get the ALB hostname:

    kubectl -n fabric get ingress fabric

    Create a DNS record for your ingress host pointing at that ALB.

    STEP 7 - VERIFY

    kubectl -n fabric get pods

    App pods should be Running. Install Jobs showing Completed is normal.

    If a pod stays Pending:

    kubectl -n fabric describe pod <POD_NAME>

    Usual causes: no default StorageClass, EBS CSI Driver missing, not enough node capacity, CognoDB node misconfigured, or IRSA permissions missing.

    SUPPORT

    Email support@wexa.ai  with the output of: kubectl -n fabric get pods helm status fabric -n fabric

    Support

    Vendor support

    Wexa provides comprehensive support for our BYOL (Bring Your Own License) product. Our support team is committed to helping you successfully deploy and operate Wexa in your AWS environment.

    SUPPORT CHANNELS: Email: support@wexa.ai 

    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.

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