Listing Thumbnail

    AI Accelerator Program: From Idea to Live Feature in 6 Weeks

     Info
    Sold by: Apex Lab 
    Apex Lab’s AI Accelerator Program helps startups and product teams rapidly validate and deliver AI-powered features using AWS Bedrock, AgentCore, OpenSearch, and more. In just 6 weeks, we deliver a secure, production-ready feature - co-funded by AWS - that connects AI capabilities directly to your business use case.

    Overview

    The AI Accelerator is a structured, 6-week program delivered by Apex Lab that takes your AI idea from concept to a working, production-ready feature potentially at zero cost and zero risk to your organization.

    Whether you are a startup, a growing SMB, or an enterprise team with promising AI ideas but limited bandwidth or in-house expertise, this program is designed to remove every barrier standing between you and your first real AI product.

    What You Get Participants receive three core deliverables. First, an AI Roadmap: Apex Lab conducts collaborative discovery and prioritization workshops to map your AI opportunities, assess technical readiness, and produce a prioritized roadmap complete with feasibility analysis, cost estimates, and projected business impact.

    Second, implementation: Apex Lab's engineering team builds a fully functional, AWS-native MVP of your highest-priority use case — deployable, testable with real users, and capable of generating data-driven insights to support your further go/no-go decision.

    Third, a Scaling Action Plan: a detailed roadmap for refining and maintaining the solution during market adoption.

    How the Program Works The engagement follows a proven 6-step process requiring minimal time from your team. It begins with a quick Application and Intro Call to assess fit and align on scope.

    This is followed by two structured workshops:

    Workshop #1 focuses on AI Roadmap Prioritization, where Apex Lab gets to know your business, explores and ranks the most impactful AI use cases, and assesses project readiness.

    Workshop #2 dives into Use Case Refinement, aligning on goals, success criteria, KPIs, and high-level technical architecture. Once the project plan is finalized, AWS evaluates it for co-funding and issues a go/no-go decision.

    Apex Lab then executes the MVP Build in close collaboration with your team. The program concludes with a Project Wrap-Up session to align next steps and explore eligibility for additional AWS funding programs.

    Highlights

    • AI Roadmap
    • Full-stack MVP
    • Cost Estimates

    Details

    Sold by

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    Legal

    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.

    Support

    Vendor support