Shell.ai Futures Pitch 2025

Competition format

At the Shell.ai Futures Pitch 2025 Competition, start-ups can pitch their innovative solutions for one of the two problem statement in the area of future energy systems.

The start-ups can demonstrate how their solutions can address the selected problem statement. Following an initial submission round, a virtual jury will shortlist the top start-ups for the finale. These top start-ups then pitch their solutions live to the jury members at the Changemakers of Tomorrow event.

Eligibility

The competition is open to all registered start-ups (minimum 2 staff members).

Startups can be in different TRL levels: -

• 2-5 stage or have received only pre-seed or seed funding; or

• 6-9 stage with early revenues, market validation by pilot(s), series A funding (or higher).​

Timeline

Rewards

The cash prizes that will be awarded are:

• USD 5000 for the first prize winner

• USD 3000 for the second prize winner

The winning start-ups may be awarded a collaboration opportunity with Shell to develop their proof of concept.

Choose your problem statement:

• Efficient 3D model building and segmentation
  Asset 3D models are critical across the asset lifecycle from early design validation in capital projects to maintenance and inspection planning in operations. When continuously updated, they reduce late-stage changes and support safe, efficient execution. However, current methods for building segmented 3D models and linking them to P&IDs and isometrics are manual, costly, and hard to scale. This limits their use in early project phases and hinders model accuracy over time. To fully realize digital twin value, scalable and automated solutions are needed to enhance model granularity, ensure data continuity, and integrate seamlessly with engineering and operational systems.
  

• Scalable Asset Diagnostics with Causal Intelligence
  Shell’s diverse portfolio offers a unique opportunity to advance asset management through AI-driven innovation. Recent progress in causal inference and graphical reasoning enables integrated AI systems to deliver enhanced diagnostics, root cause analysis, and predictive accuracy. These capabilities support data-driven decision-making and operational resilience across B2B environments. Embedding such technologies into Shell’s digital ecosystem will strengthen predictive maintenance, reduce unplanned downtime, and optimize asset performance. By adopting scalable, cost-effective AI solutions, Shell reinforces its leadership in digital transformation, driving operational excellence and sustainable business growth.