Get transparent reporting and live updates on the progress of your generative AI initiatives with Mission Cloud Engagements. Leverage the power of the Mission Control cloud services platform to ensure your projects stay on track and accomplish your objectives.
Mission Cloud Engagements is our software for managing your generative AI projects. Visualize your project status in real-time via our cloud services platform, Mission Control, and use its observability and reporting tools to understand your AWS environment, architectural considerations for your AI solution, and how to ensure its alignment with best practices.
With Mission Cloud Engagements, our aim is simple: make the experience of accomplishing your projects that much richer, more transparent, and accountable, so you can get your generative AI initiatives built to spec and launched quickly.
Project Milestone Tracking -
Review the milestones that mark key stages in an initiatives life cycle. Get a detailed view of progress and important notes on implementation, outcomes, or other criteria you have specified.
Action Items -
Action Items track issues flagged that may require input, feedback, or cooperation. Here you can follow their progress and get notified upon their completion.
Risk Log -
Obstacles and unexpected challenges are part of every project; the real world is unpredictable. The risk log lets you manage those risks before they become roadblocks.
Decisions -
Critical decisions can affect the outcomes or overall direction of a project. We surface these to create more informed discussions and a clear record for how and why a project evolved over its lifetime.
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 is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing carries one pricing dimension: a Platform Fee billed in units. You buy it as a contract rather than by the hour or by usage. The fee covers a generative AI engagement where the vendor helps you identify use cases, design a solution, and move it into production on AWS. Because there is a single dimension, pricing does not tier or scale across instance sizes or throughput levels. You commit to the contract, and the unit quantity sets your total. Contact the vendor to confirm scope and unit count for your specific engagement.
Top-of-mind questions for buyers
What does one unit of the Platform Fee actually cover in a Gen AI engagement?
A unit funds a scoped consulting engagement where the vendor helps you identify a use case, design a solution, and move it into production on AWS. Work can cover AI assistants, chatbots, document processing, or translation pipelines. The exact deliverables and unit count depend on the engagement scope you confirm with the vendor.
Is this a contract commitment or do I pay only for what I use?
You commit to a contract rather than pay by the hour or by usage. The Platform Fee bills in fixed units, so charges do not meter running time or per-request activity. This structure suits a defined delivery project with agreed scope, not variable ongoing consumption. Confirm the unit count and term with the vendor.
Does this fee cover the underlying AWS services my solution runs on?
The Platform Fee covers the vendor's engagement work: use-case selection, design, and production delivery on AWS. It does not cover the AWS services your solution consumes, such as model, compute, or storage costs. Those are billed separately through AWS. Ask the vendor for a cost-of-ownership review of your running solution.
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Up-level your Marketing campaigns to address the unique needs of each customer and pivot your marketing campaigns dynamically based on sentiment events, responding in context according to customer preference and event types. Meet with a Mission Cloud Generative AI specialist to envision an AWS-native solution for marketing automation that fits your needs and aligns with best practices.
Leveraging Mission’s Data Engineering & Architecture Lab (DEAL), and experts from our generative AI team, Mission helps customers take the first step by discussing your specific use case(s) and working through initial architectural and solution planning, specifically focusing on the data services that enable generative AI.
Want to learn more about how to build your Generative AI with best practices and scale its development on AWS? This is a free, 60-minute consultation with one of Mission Cloud's AI Specialists to discuss your ideas, concerns, and needs.
Discover the power of generative AI development with Cloudera on AWS with Mission Cloud. With expertise in generative AI solution development, Mission Cloud leverages Cloudera for its robust data management, Cloudera Machine Learning data service and analytics capabilities coupled with Amazon Bedrock for secure generative AI applications.
As part of this offer, get a 60-minute free consultation on a comprehensive solution leveraging native AWS services, foundation models, applied ML prototypes (AMPs), and Cloudera Machine Learning on AWS.
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