Shell.ai Futures Pitch

Shell.ai Futures Pitch

A competition that aims to bring together the start-up ecosystem and Shell to accelerate and explore opportunities for joint learning and collaboration on some of the world's toughest energy challenges.

The first edition of the Shell.ai Futures Pitch contest was held at the Changemakers of Tomorrow event at Shell Technology Centre, Bangalore in October 2023. Over 16 startups participated, presenting solutions aimed at addressing global energy challenges.

Competition format

At the Shell.ai Futures Pitch, start-ups pitch their innovative solutions for one of the three challenges in the area of future energy systems.

The start-ups demonstrate how their solutions address the selected challenge. Following an initial submission round, a virtual jury shortlists 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).​

Rewards

The cash prizes that will be awarded are:

  • USD 5000 for the first prize winner
  • USD 3000 for the second prize winner
  • USD 2000 for third prize winner

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

Choose your challenge:

  • Transport fleet scheduling for multi-product, inventory-based supply chain

    Your task is to optimise routes and schedules for different types of ships in a maritime supply chain. This involves fulfilling the supply plan, minimising costs, and improving vessel efficiency. You will need to take into consideration the following factors: inventory control, external charters, partial unloading at nodes, and multi-product compartments. The aim is to streamline operations, meet customer demand, and achieve cost-effective resource utilization with an optimal route, inventory levels, and schedule.

  • Biodiversity assessment toolkit

    Shell has a strong commitment to Respecting Nature as part of our Powering Progress strategy. New projects in areas rich in biodiversity require a baseline environmental assessment and regular monitoring during the lifetime of assets. Traditional biodiversity assessment methods often involve labor-intensive field surveys and sample collections. These methods can be slow, expensive, and may not capture real-time changes. Your task is to design innovative solutions or applications to support comprehensive biodiversity assessments, that minimise human presence inside the study area and are easy to use by non-specialised professionals.

  • Predictive analysis of oil and gas production facilities (plants)

    There are thousands of sensors attached to a plant’s equipment. Automated and correlated monitoring, together with the analysis of sensor trends is required for effective predictive analysis. This challenge calls for a data-driven tool that can empower plant operators to monitor plant processes and equipment to intercept possible failures, do a diagnostic root-cause analysis and make the necessary repairs to avoid plant downtime.

Shell.ai Futures Pitch 2023 Winners

Winner: Uptime.ai

Uptime.ai

UptimeAI is an artificial intelligence-based operation excellence platform that combines predictive maintenance with explainable failure modes/recommendations and self-learning workflows to maximize uptime, process efficiency, and drive sustainability. Shell, Petroleum Development Oman, Bharat Petroleum, BASF, and the world's top refiners have unlocked ROI within 90 days.

Challenge: Predictive analysis of oil and gas production facilities (plants)

1st Runner-up: V2T.io

V2T.io

V2T uses a combination of Digital Twin, AI and Simulation (DAS) technologies to transform business operations by integrating high-fidelity visuals, spatial physics, behaviors, and effervescent data without fixed rules, enabling accurate predictions and decision support.

Challenge: Transport fleet scheduling for multi-product, inventory-based supply chain

2nd Runner-up: Gentian.io

Gentian.io

Gentian is a faster and more efficient way to monitor nature. They combine high resolution remote-sensing images with computer vision, decades of ecological expertise, and trained AI algorithms, to recognize and separate different biodiversity habitat types remotely and autonomously. Independently verified as over 97% accurate versus manual surveys, this approach greatly improves the speed, cost and accessibility for measuring, monitoring and predicting ecology. This is especially important for fast-growing new and regulated markets where biodiversity carries high value.

Challenge: Biodiversity assessment toolkit