James Thomason’s Post

Last week was huge for our Shared Future Fund partners given Y Combinator Demo Day and NYC Climate Week! We saw a marked uptick in YC companies working on climate with this recent YC S24 batch. Collaborative Fund is excited to support companies working at the intersection of AI and decarbonization / climate adaptation. Here's a snapshot of a few companies we're investing in: 🏢 RetroFix AI (YC S24): building software to help buildings become more energy efficient by maximizing rebates for builders and contractors 🎈 Sorcerer (YC S24): building the best weather balloons that collect 1000x more data 🔋 Ionworks: helping battery companies digitize their R&D by building and running battery simulations at scale 🏗️ Offstream: simplifies and streamlines compliance for carbon projects 🪫 Rewbi: uses AI to optimize grid-connected battery storage

Humans equipped with AI will surpass those without it. 🚀 Now is the perfect moment to harness your AI skills without any hassle! SCALE-UP 2025 by SPE Java Indonesia Section x SLB is leading the charge for energy innovation through AI/ML and hackathon insights. Seize this opportunity to learn, network, and spark your energy-driven ideas! ⚡ Participate in the Introduction Webinar on February 8, 2025, and become part of the future. Register today! #SCALEUP #Sandbox #DataScienceHackathon #SPEJAVA

#Innovation never takes a break! Great post from #Codespheric, a software house that's just completed a game-changing project in the #AI space. 🤖 By partnering with a forward-thinking start-up, they’ve helped transform the AEC industry with a powerful AI-driven knowledge discovery system using Langchain and advanced data pipelines. The result? Enhanced product capabilities and a big win in fundraising! 🚀 If you’re interested in leveraging cutting-edge technology to elevate your own projects, this case study might spark some ideas. Take a look! 👇

We’ve been featured in TechCrunch! Our journey so far has been about pushing boundaries—from custom-built hardware and renewable energy infrastructure to a flexible API that gives users full control over their AI workflows. We’re redefining what’s possible in generative AI, and this is just the start. Huge thanks to the entire team for making this possible! Read the full article here: https://lnkd.in/gS9U7FKY

🌟 Highlighting our most recent ClimateTech Scale-up customers: Prêts, Sensorfact, Beyond Weather, and Metabolic. 🌱 🌍 At Enjins, we are developing AI use cases and data architectures in industries that matter. By focusing on ClimateTech scale-ups in Northern Europe, we aim to create not only business value for our customers but also societal value. 🚀 We are excited to work with these ClimateTech companies, each having strong in-house research and modeling capabilities, and we are thrilled to design and deliver the MLOps infrastructure to further scale and continuously improve their AI products. At Enjins, we understand that MLOps can be a challenge and that different products have different requirements to reach full-scale deployment effectively. 📖✨ Explore our recently updated website for detailed case studies on our work with ClimateTech scale-ups (Link in comments).

Raising awareness for those in my network who might be interested in entering this year’s Shell AI Hackathon. See overview below and go to shell.com/hackathon to learn more and register if you are up for the challenge! #ShellaiHackathon #SustainableEnergy #AI #Innovation Narrative about the challenge: Shell.ai Hackathon for Sustainable and Affordable Energy brings together brilliant minds passionate about digital solutions and AI, to tackle real energy challenges and help build a lower-carbon world where everyone can access and afford energy. In the fifth edition of Shell.ai Hackathon, we focus on fleet decarbonisation - a transition problem in the mobility sector. Professional, delivery and operational fleets are a significant contributor to global greenhouse emissions. Fleet owners aspire to achieve net-zero emissions promptly; however, the process presents a complex dilemma. Balancing the urgency of achieving net-zero emissions with business sustainability and customer satisfaction requires a decision-making framework that considers factors such as timing, location, and approach. In this hackathon, you will have a chance to develop mathematical models to optimise fleet decarbonisation strategies, to help fleet owners make informed decisions that align with their energy transition objectives and business outcomes.

Judge my fridge! 1. Take picture of contents of your fridge. 2. Ask AI to estimate carbon footprint and suggest alternative products. Next step will be to order the shop. Great examples from Cien about you can quickly use AI to generate (and demo) new ideas for behaviour change and impact challenges. Cien came to our most recent EarthAI meet and make event. #AIforgood

My recent experience with Hackathon organize by lablab.ai. The Smart Network Infrastructure Planner builds on the findings of the PASQAL Hackathon on Quantum Computing, which revealed the significant risks that climate change poses to telecommunications infrastructure, with disruptions expected to escalate in underserved regions by 2047. Using these insights, the planner integrates AI, quantum computing, and dynamic datasets to optimize telecommunications deployment, focusing on climate resilience and improving connectivity in vulnerable communities. Key innovations envisioned for the planner include: Dynamic AI-Driven Analysis: Predicts vulnerabilities and recommends climate-resilient strategies, enhancing operational efficiency, reducing downtime, and minimizing risk. Integration of Hugging Face Datasets: Provides real-time, adaptive planning by leveraging environmental and demographic data to identify and prioritize high-need areas. Interactive Streamlit Application: Empowers stakeholders to simulate deployment scenarios, visualize complex data, and collaborate effectively, fostering alignment and better decision-making. Budget Optimization: Prioritizes resource allocation for underserved regions, ensuring cost efficiency and maximizing ROI while addressing connectivity gaps. Sustainability Metrics: Embeds long-term resilience and environmental standards into planning to support sustainable development goals and enhance corporate social responsibility. These features deliver measurable business outcomes, including enhanced network reliability, optimized resource utilization, cost savings, and improved service in underserved regions. By addressing both current and future challenges, the planner empowers organizations to bridge the digital divide, mitigate climate risks, and unlock new opportunities in emerging markets. It transforms research findings from the PASQAL Hackathon into actionable strategies that support sustainable and equitable connectivity while creating competitive advantages in uncertain environments. Special thanks to my wonderful team members Michael Lively(Lead),Amna Hassan,Rafiea Ashraf,Mohammed Contractor,Reema Memon. Learn lot of new things form the leader for the furutre improvements. Guidance of Sir Zafar Shahid, PhD and Sir Rizwan Ghaffar is the valueable asset of my journey. Share your ideas with me in the comments. #hackathons #lablab.ai

Can Gen AI solve some of the world’s biggest problems quicker? 👀 I was invited to speak at an EarthAI hackathon last week at the Conduit Social Club and the night before, I decided to build 3 MVPs to demo how Gen AI can be used to help save the world. - a Product finder (finds eco-friendly products and gets you links to products) - Judge My Fridge (asks the user to share a photo of their fridge and estimates the CO2 footprint of contents and gives alternatives for the user to consider)? - Personal Carbon Calculator (estimates your CO2 footprint from your activities throughout the week and suggests a way to improve it) I even built an ideation partner that was designed to help attendees come up with ideas and project plans based on the problem they want to solve. And I must say, despite not having the database, my MVPs were quite cool. Here’s the secret, I built these tools in 1 night so imagine the potential! Top of my head - add scope 3 frameworks, build in licensed data (not just estimations grabbed online) etc. What will you build? 🍋🍋🍋 EarthAI Ben Keene Katie McPhee

🌟 Excited to Share Our Hackathon Journey! 🌟 We proudly present "WattHack – The Energy Advisor App", a project we developed during the PEC Generative AI Hackathon! This innovative app aims to tackle energy inefficiency in homes by leveraging AI and data visualization to provide personalized energy-saving advice. 🔑 Key Highlights: Analyze energy consumption patterns and visualize trends. Generate AI-powered recommendations for reducing energy costs. Calculate carbon footprints (0.707 kg CO₂ per kWh) to promote sustainability. Interactive gamification features like leaderboards and badges to engage users. Built with Gradio, Hugging Face GPT-2, and other cutting-edge tools. 💡 What Inspired Us? High energy bills and lack of awareness about energy-saving practices motivated us to create a solution that’s both user-friendly and impactful. Our app helps users optimize their energy usage, reduce carbon emissions, and calculate ROI on energy-efficient investments. 🎥 Check Out the Demo! In this video, I’ve explained the app’s features, its working process, and how we implemented it step-by-step. Watch to see how WattHack empowers users to save energy effectively! 🙏 Special Thanks To: PEC, Pak Angels, iCodeGuru, Aspire Pakistan, and all the mentors for their guidance and support during this journey. 🚀 Let’s make energy efficiency smarter and sustainable together! Feel free to share your thoughts or connect with me for more insights. 🌍💡 #Hackathon #EnergyEfficiency #AI #DataVisualization #Sustainability #PEC #Innovation