Apex Lab
AWS Partner with the AI Services Competency
AI Accelerator Program by Apex Lab & AWS

Idea to live feature in 6 weeks No cost. No risk. No catch.

We prioritise your best AI opportunity, build it as a secure, production-ready feature on AWS, and hand you a roadmap to scale it. It’s co-funded by AWS, so there’s no cost to find out if it works.

What will you get?

AI Roadmap

Collaborative workshops that turn your AI opportunities into a prioritised roadmap with feasibility, cost, and business impact.

Full-stack MVP

A deployable AWS build of your top use case, running on your own data and ready to ship to real users.

Scaling Action Plan

A clear roadmap for scaling and adopting your new feature, including technical requirements, resource needs, and an implementation timeline.

Who is it for?

Startup

Ready to build and scale AI-powered solutions with proven technology — or considering moving to AWS from other providers.

SMB

Digital and non-digital companies experimenting with integrating AI into their offerings.

Enterprise

Teams with project ideas facing budget constraints, priority issues, or lacking in-house AI expertise.

How it works

  1. 1.

    Application & Intro Call

    Submit your application in a minute and schedule a quick call to explore fit, timeline, and next steps.

    We customise the process to match where you are and what you need to move forward.

  2. 2.

    Workshop #1: AI Roadmap Prioritization

    About:

    • • Introduction to your business
    • • Explore and prioritise the most impactful AI use case
    • • Assess technical project readiness

    Outcome: Selected AI project use case

    Resource needed: 2 people for 2 hours

  3. 3.

    Workshop #2: Use Case Refinement

    About:

    • • Align on project goals, success criteria, and metrics
    • • Design high-level architecture and approach
    • • Agree on next steps and project roadmap

    Outcome: Detailed project plan

    Resource needed: 2 people for 2 hours

  4. 4.

    AWS Project Approval

    About: AWS evaluates the project plan and determines co-funding for the full-stack MVP development.

    Outcome: Go or no-go decision

    Resource needed: 30 mins for alignment

  5. 5.

    Full-stack MVP Build

    About: Our engineering team delivers the agreed project scope in collaboration with your team.

    Outcomes:

    • • Production-ready feature for your selected use case
    • • Documentation and data-driven insights
    • • Clear action plan to scale beyond the program

    Resource needed: 1–2 hours weekly from business and technical stakeholders

  6. 6.

    Project Wrap-Up

    About:

    • • Explore eligibility for additional AWS funding programs
    • • Align the scaling roadmap based on feature performance and validation results

    Outcome: Scaling roadmap and funding options for what comes next

    Resource needed: 1 hour for the wrap-up session

Success stories

Inquisita.AI

LegalTech

Legal discovery with AI

Document review that took a junior associate weeks now takes hours.

An agentic hybrid-retrieval platform that drafts objection-ready responses to interrogatories, grounded in the firm’s own case files and exported ready for redlining.

Read the full story

Moontask / Aladin Labs

Web3

2.1 million wallets. One question: human or bot?

2.1 million Solana wallets scored, on roughly $60 a month of AWS infrastructure.

A wallet scoring engine with validated separation on real production data, which went on to accelerate Moontask’s first enterprise customer pipeline.

Read the full story

FAQ

Want to go from idea to live feature with zero risk?

Join the AI Accelerator program and get your AWS co-funded full-stack MVP in 6 weeks, plus a clear roadmap to scale it.