Apex Lab
GenAI Accelerator Program by Apex Lab & AWS

Energy: from idea to AI prototype in 6 weeks Built on AWS. No cost. No risk.

Energy companies manage complex operations across generation, distribution, and consumption with massive datasets. Build an AWS-based AI prototype in 6 weeks that supercharges services and operations — with zero cost to you.

Use Case Examples

Energy Demand Forecasting

Time-series AI reducing forecast errors for better grid balancing.

Energy Consumption Advisor

Personalized recommendations that cut usage based on customer patterns and home characteristics.

Predictive Maintenance

ML models analysing sensor data to predict failures before they impact operations.

What will you get?

AI Roadmap

Workshop exploring use cases like predictive maintenance, demand forecasting, grid optimisation, or ESG reporting — prioritized by impact and feasibility.

Full-stack Prototype

AWS-based solution for your top use case (e.g., equipment failure prediction, energy consumption optimisation, or automated meter reading analysis) ready for testing.

Scaling Action Plan

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

Who is it for?

Renewable Energy Companies

Forecasting generation, optimizing storage, or maximizing asset performance.

Utilities & Grid Operators

Optimizing grid management, outage prediction, or demand response programs.

Energy Retailers

Improving customer analytics, pricing models, or consumption recommendations.

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 an energy AI prototype in 6 weeks?

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