Sold by: TomorrowX
Deployed on AWS
AI Spark is a governed entry point for AI: a bounded operational use case connected through TomorrowX Data Mediation™, deployed into your AWS account, without replacing existing systems. Many AI ideas stall between demonstration and production because live workflows introduce real data, identity, approvals and risk. AI Spark connects the model to a meaningful but contained workflow through a governed mediation boundary, so data access, output handling and action are controlled and evidenced from the start. Organisations retain full control of infrastructure, security and network boundaries, including in regulated, secure and air gapped environments. Designed for partner-led delivery, AI Spark produces an operational proof with visible controls and evidence for business, risk and technical stakeholders, and a reusable capability for scaling AI adoption.
Overview
AI Spark is a governed entry point for AI in complex and regulated environments, built on TomorrowX Data Mediation™. It moves an AI idea from a conversation to a controlled, demonstrable interaction with the systems and workflows that matter, deployed into the customer AWS account and without replacing existing systems.
Public sector and regulated organisations are already experimenting with AI, but progress often stalls before production. Many AI ideas can be demonstrated with documents and conversation; operational value begins when AI participates in a real workflow, which introduces live data, identity, approvals, exceptions and downstream consequences. Governance, compliance and risk concerns make it difficult to deploy AI safely in live environments, especially where legacy systems and constrained architectures limit deployment options. Programmes therefore remain demonstrations or jump too quickly into integration.
AI Spark creates a contained path to operational relevance. A meaningful but bounded workflow is selected, data access, controls, evidence and acceptance criteria are defined, and the model is connected through a governed mediation boundary, so data access, output handling and action are governed from the start. The outcome is demonstrated with visible controls at the point of system interaction and evidence for business, risk and technical stakeholders, and the organisation decides whether to scale, revise or stop.
Customers retain full control of infrastructure, security and network boundaries, including in regulated, secure and air gapped environments. AI Spark is designed for partner-led delivery, and the mediation capability established is reusable for further AI deployment, giving organisations a controlled and repeatable path to AI adoption.
Highlights
- Governed entry point for AI: a bounded operational use case proven with visible controls and evidence, not a standalone chatbot demonstration.
- AI connected through a TomorrowX Data Mediation™ boundary governing data access, output handling and action, without replacing or re-platforming existing systems.
- Deploys into the customer AWS account for full infrastructure, security and network control, including regulated, security-sensitive and air-gapped environments.
Details
Sold by
Categories
Delivery method
Supported services
Delivery option
CAP Agent - ECS Fargate
Latest version
Operating system
Linux
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit/hour |
|---|---|---|
Hours | Container Hours | $82.19178082 |
Dimensions summary
You pay for this product by the container hour. Billing is usage-based, so your cost tracks how long the container runs. There are no tiers or fixed quantities to select. The single dimension scales directly with your runtime hours. You add up the hours the container is active, and charges follow that total. This model connects an AI use case to a bounded workflow through Data Mediation, running inside your controlled environment. Because pricing is metered by the hour, you can start with a contained proof and let usage grow or stop as needed.
Top-of-mind questions for buyers
One container hour is one hour of runtime for the deployed container running the Data Mediation solution. The clock accrues while the container is active in your controlled environment. Partial hours and total active time roll up into your metered charge. Counting follows how long the container runs, not the number of users or workflows.
Charges follow active runtime. When the container is not running, software hours do not accrue. This lets you start with a contained proof, then pause when the workflow is not in use. Note that underlying AWS resources, such as storage, may still incur separate AWS fees while stopped.
You connect a model to a bounded workflow and pay only for the hours the container runs. There is no upfront quantity to commit. This fits a contained proof where you demonstrate an outcome, then decide to scale, revise, or stop. Cost tracks runtime, so it grows or shrinks with your activity.
tomorrowx.com
Helpful?
Vendor refund policy
Please contact TomorrowX for refund & policy https://tomorrowx.dev/get-help/
Refer to the AWS Marketplace Buyer Guide for further details regarding:
- Refunds for AWS Marketplace products https://docs.aws.amazon.com/marketplace/latest/buyerguide/buyer-refunds.html
- Canceling a container subscription https://docs.aws.amazon.com/marketplace/latest/buyerguide/cancel-subscription.html#cancel-container-subscription
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.
Delivery details
CAP Agent - ECS Fargate
Supported services: Learn more
- Amazon ECS
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
Hardening release: Named, hardened session cookies for the web applications served by the CAP Agent image, and a new optional HTTPS parameter in the CloudFormation template. This is a drop-in replacement for the previous V12 image: the CloudFormation template URL, task definition shape, environment variables, EFS mount path, port mappings, ALB health check path, and CAP Console connection workflow are all unchanged. Existing stacks pick up the new image on their next service update.
feat: Session cookie hardening. The web applications in the image now issue their session cookies with an application-specific name (for example APPSESSIONID) plus the HttpOnly and SameSite=Lax attributes, using the standard Servlet session-config element. The Secure attribute is added automatically when the request arrives over HTTPS - including behind a TLS-terminating load balancer or CDN that announces X-Forwarded-Proto. Previously the applications fell back to the container-default JSESSIONID with no attributes, because the pre-Jetty-10 cookie rename mechanism they carried is silently ignored on Jetty 12. One-time effect on update: active browser sessions are signed out once as the cookie name changes; users simply sign in again.
feat: Optional HTTPS listener via CloudFormation. The template gains an ACMCertificateArn parameter: set it to the ARN of an ACM certificate in the stack's own region and the load balancer adds an HTTPS listener on port 443 (TLS 1.3 policy) with the matching security group rule, alongside the existing HTTP listener. Left blank (the default), the stack is identical to the previous release. Note that CloudFront certificates live in us-east-1 and cannot be attached to a load balancer - see "HTTPS Certificate Configuration" in the product documentation for the certificate and CDN origin details.
Dependency review: No library version changes in this release. The CAP Agent engine build is unchanged (30040). The embedded Jetty 12.1.10 runtime, Java 21 virtual threads on HTTP ingress, pgjdbc 42.7.13, and all prior CVE remediations are retained. Ubuntu 24.04 LTS base OS packages are refreshed to current at image build time. A healthy CAP Agent launch continues to log zero WARN, zero ERROR.
Compatibility: No breaking changes for existing customers. CloudFormation template URL, task definition shape, environment variables (S3_GOLD_MASTER, DB_HOST, DB_PORT, DB_NAME, DB_USER, DB_PASSWORD secret), EFS mount path, port mappings (8080 web, 20001 management), ALB health check path, and CAP Console connection workflow are all unchanged. The new ACMCertificateArn template parameter is optional and additive. CAP rulesets and extensions run unchanged on this image. Expect a one-time browser sign-in after updating (session cookie rename).
Documentation: https://docs.tomorrowx.com Support: help@tomorrowx.dev
Additional details
Usage instructions
Quick Launch
Deploy a CAP Agent using CloudFormation (change the region in your AWS Console to your preferred region first): https://console.aws.amazon.com/cloudformation/home#/stacks/create/review?templateURL=https://public-tomorrowx-s3.s3.eu-central-1.amazonaws.com/cap-agent-marketplace.yaml&stackName=cap-agent
- Select your VPC and 2+ subnets in different availability zones
- Optionally restrict web and management access CIDRs
- Click "Create stack" - deploys in ~3 minutes
- Go to CloudFormation > Stacks > cap-agent > Outputs for your Agent URL
Connecting Your CAP Console
- Open CAP Console > Administration > Agent Definitions > Create New PDA
- Set Host to the task public IP (from Outputs tab)
- Set Port to 20001
- Set Task ARN, Amazon ALB Target Group ARN, Amazon Access Key, and Amazon Secret Key from the Outputs tab
- Deploy extensions and rulesets via Console
To Remove
Delete the CloudFormation stack - all resources are cleaned up automatically.
Documentation: https://docs.tomorrowx.com Support: help@tomorrowx.dev
Resources
Vendor resources
Support
Vendor support
Support is delivered through partners, with TomorrowX providing platform support and specialist advisory capability where applicable. Support levels scale by license tier and are confirmed during onboarding. The customer retains control of infrastructure and networking within their AWS environment. For platform support requests, please visit
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.
Similar products
Turn imagination into art. Powered by the latest technology, our AI creates art and images based on simple text instructions.
This AI Art model can produce diverse painting styles, including oil, watercolor, modern, abstract, and more.
Our technology can also simulate Van Gogh, Monet, Picasso, and famous painters, or can attempt to create art in the style of famous paintings.
Please inquire about photorealistic styles.
Common applications include creating graphics for merchandise, book art, album covers, fan art, and simply helping people see their imaginations manifested in more tangible form.
AI-powered assistant for judicial document automation in Brazil. Integrated with eProc and compliant with CNJ 615/2025, optimizing productivity and legal accuracy.
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI.
Turn life into personalized art with AI. Invigorate boring selfies, pet photos, and vacation pictures by recreating them in different artistic styles. From Van Gogh to pixel art to Chinese paintings, our AI is your personal street artist and can generate custom artistic pieces from across the style spectrum.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.