Apex Lab
GenAI Accelerator Program by Apex Lab & AWS

Fintech: from idea to working prototype in 6 weeks Built on AWS. No cost. No risk.

Financial services companies process thousands of documents, queries, and transactions daily. Transform your fintech AI idea into a secure, compliant AWS-based prototype in 6 weeks — with zero cost to you.

Use Case Examples

Intelligent Document Processing

Automated extraction and validation of financial documents (statements, contracts, invoices) with 95%+ accuracy.

AI Customer Support

RAG-based chatbot handling 70% of tier-1 support queries about accounts, transactions, and products.

Personalized Financial Advisor

RAG chatbot that analyzes customer history to provide tailored savings recommendations, investment suggestions, and spending insights.

What will you get?

AI Roadmap

Workshops to explore fintech use cases (intelligent document processing, fraud detection, customer service automation, predictive analytics) prioritized by ROI and feasibility.

Full-stack Prototype

Working AWS-based solution for your top use case (e.g., automated KYC verification, AI-powered investment recommendations, or claims processing) ready for testing.

Scaling Action Plan

Clear path to scale with cost projections, infrastructure requirements, and a timeline to production.

Who is it for?

Wealth Management Firms

Exploring portfolio optimisation, market analysis, or client reporting automation.

Digital Banks & Neobanks

Building AI-powered customer service, personalized financial advice, or credit scoring.

Insurtech

Developing claims processing, risk assessment, or policy recommendation engines.

How it works

  1. 1.

    Application

    Submit your application in 1 minute and we’ll reach out shortly.

  2. 2.

    Intro Call

    Quick call with program leads to align on fit, timeline, and next steps tailored to your stage.

  3. 3.

    Workshop #1: GenAI Roadmap Prioritization (GRP)

    About:

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

    Outcome: Selected AI project use case

    Resource needed: 2 people for 2 hours

  4. 4.

    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

  5. 5.

    AWS Project Approval

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

    Outcome: Go or no-go decision

    Resource needed: 30 mins for alignment

  6. 6.

    Full-stack Prototype Build

    About: Our engineering team delivers the agreed project scope according to the project plan.

    Outcomes:

    • • Working prototype for your selected use case
    • • Documentation and data-driven insights
    • • Clear action plan to scale beyond the PoC

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

  7. 7.

    Project Wrap-Up

    About:

    • • Explore eligibility for additional AWS funding programs
    • • Align MVP scope based on prototype feedback and validation results

FAQ

Is this really free for us? What should I give in return?

Yes – for selected teams, the accelerator is completely free with no strings attached. Apex Lab funds the initial discovery workshops, and AWS co-funds the proof-of-concept development. If you want a broader scope than the program typically supports, partial co-funding from your side may be required, but that choice is yours.

How much involvement is needed from our side?

Very little: we need your presence for the workshop (max 2x2 hours) and availability for clarification questions during the build phase. For the workshops, we require at least one product/business person and one technical expert.

What do we get at the end? How far does this take us?

You go from idea → scoped use case → working prototype + roadmap to MVP/production. You’ll have a functional AI prototype ready for testing and validation (not production-ready yet).

What are the requirements to apply? Is there a minimum MRR/ARR?

We prefer companies that have reached product-market fit, but the opportunity is open to everyone. The higher the expected AWS consumption of your GenAI service, the more time AWS sponsors us to build it with you.

Do we need to already be on AWS?

Relevant for non-AWS users and for those already on AWS. This is not a restricting factor.

Does this give us AWS credits or money?

The process and costs from workshop to prototype handover are covered by Apex Lab and AWS. You get a working prototype without incurring engineering costs. This program doesn’t include AWS credits, but we can help you apply for them separately as AWS Partners.

Is this a one-time thing, or can we join later? Is there a deadline?

There is no deadline; we accept applications on a continuous basis. Apply whenever the timing is right.

Want to launch a secure fintech AI prototype in 6 weeks?

Join the Fintech GenAI Accelerator and get your AWS-funded prototype plus a clear path to production — with zero cost and zero risk.