AI Roadmap
Workshop exploring use cases like predictive maintenance, demand forecasting, grid optimisation, or ESG reporting, prioritized by impact and feasibility.
Energy companies manage complex operations across generation, distribution, and consumption with massive datasets. We prioritise your best AI opportunity and build it as a production-ready feature on AWS, at no cost to you.
Time-series AI reducing forecast errors for better grid balancing.
Personalized recommendations that cut usage based on customer patterns and home characteristics.
ML models analysing sensor data to predict failures before they impact operations.
Workshop exploring use cases like predictive maintenance, demand forecasting, grid optimisation, or ESG reporting, prioritized by impact and feasibility.
A deployable AWS build of your top use case, for example equipment failure prediction or energy consumption optimisation, running on your own data and ready to ship.
A clear roadmap for scaling and adopting your new feature, including technical requirements, resource needs, and an implementation timeline.
Forecasting generation, optimizing storage, or maximizing asset performance.
Optimizing grid management, outage prediction, or demand response programs.
Improving customer analytics, pricing models, or consumption recommendations.
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.
About:
Outcome: Selected AI project use case
Resource needed: 2 people for 2 hours
About:
Outcome: Detailed project plan
Resource needed: 2 people for 2 hours
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
About: Our engineering team delivers the agreed project scope in collaboration with your team.
Outcomes:
Resource needed: 1–2 hours weekly from business and technical stakeholders
About:
Outcome: Scaling roadmap and funding options for what comes next
Resource needed: 1 hour for the wrap-up session
Vehicle-specific range answers by text or voice, around 160km for a BMW i3 at 50% charge.
A production-grade agent built over EV.analytica’s existing data and APIs, answering drivers in natural language about routes, charging, and vehicle health.
Read the full storyJoin the Energy AI Accelerator and get your AWS co-funded, production-ready feature plus a clear roadmap to scale it, with zero cost and zero risk.
Provide your email address and we'll send you the complete application form along with next steps.
Tell us more about yourself and what you're got in mind.
Prefer email? hello@apexlab.io
Or even a quick call?
We don’t care about fancy CVs or long interview processes. Provide some basic information, let’s have a quick chat, and then show us what you love doing the most: write some code and create a product.
