Build - UCL AI Festival

See more: https://aienginehack.com/feb Unfortunately we won't be able to open the venue overnight based on UCL guidelines, please seek alternatives or cancel your registration if this is a blocker, you'll be missed! Feb 2025 was the start of AI Engine where we took over UCL East Campus and brought together >200 builders who have gone on to create startups, join tech industries and be the creators of a vibrant tech ecosystem in London. One year on, we're back and more central this time. Teaming up with Cooley, HPE, NVIDIA and UCL as part of the AI Festival many more exciting companies to be revealed. Expect to: Win NVIDIA DGX Spark and a chance to join GTC in person in San Jose.Build hands on with guidance.Hear from speakers who are entrepreneurs who have been in your shoes.Meet your cofounder or Find your dream role. We're supported by Anthropic, AWS, Encord, Prolific, Lovable, Runware with technical resources. Together with Crane Venture Partners, Dawn Capital and N47, we can't wait to see what you create and how you build with the future of AI. UCL is the leading university known for high-impact, cross-disciplinary research and education. It supports turning research into real-world ventures and partnerships through UCL Innovation & Enterprise. Cooley is a global law firm known for its technology and life sciences practice, supporting high-growth companies from startup to IPO and beyond. NVIDIA is the world leader in AI computing, pioneering the GPUs and full-stack systems that power the world’s data centers and high-performance computing. HPE is the global edge-to-cloud company that helps organizations accelerate outcomes by unlocking value from all of their data, everywhere. Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. AWS is the world’s most comprehensive and widely adopted cloud platform, offering over 200 services that empower organizations of all sizes to innovate faster on secure, scalable infrastructure. Encord is the universal data layer for AI. The platform helps AI teams train and run their models with the right data - managing, curating, annotating, and aligning data across the full AI lifecycle. Prolific is the global research platform that accelerates discovery while ensuring ethical compensation and meaningful contribution to human knowledge. Lovable is a product development platform that lets individuals build production‑grade web applications using natural language, with editable code that can be synced to GitHub for standard engineering workflows. Runware is the fastest, lowest-cost generative media API, enabling developers to create and edit images and video at scale, no hardware or ML expertise required. Crane is the specialist VC firm that backs ambitious founders building the future of enterprise software and deep tech, providing hands-on support from pre-seed to scale. N47 is a Silicon Valley-based venture firm that backs builders across the globe when the product speaks loudest — investing before the buzz and metrics to take companies from belief to scale. Best, AI Engine "Build: AI Festival" team ----------Terms and Conditions here By attending this event (the “Event”), you acknowledge that photography and video recording may take place. Your image and likeness (“Image Personal Data”) may be captured and used by Dawn Capital LLP (“Dawn” or “we”), our affiliates, Event organisers, service providers, and sponsors for legitimate business purposes, including promotional materials. Dawn processes your Image Personal Data in accordance with our privacy notice, available on our website. If you have questions about how we handle your Image Personal Data or prefer not to be photographed or recorded, please contact us at notices@dawncapital.com before the Event. I understand that my personal data submitted as part of my Hackathon application (including my name, email address, phone number, LinkedIn profile, university and or company name, related websites, submitted projects, and participation data such as scoring results) (“Marketing Personal Data”) may be used for direct marketing purposes by Dawn. Dawn processes your Marketing Personal Data in accordance with our privacy notice, available on our website. If you have any questions how your Marketing Personal Data is being used or if you prefer that we don’t use your Marketing Personal Data for direct marketing purposes, either for this Event or for any following events, please contact us at notices@dawncapital.com. Please note that Dawn may collect and process your personal data submitted as part of your Hackathon application, including, but not limited, to your name, email address, and LinkedIn profile, and other materials that you provide, such as projects that you submit through your application or during the Hackathon competition. Additionally, we may collect and process data relating to your participation in the competition, including any scoring or evaluation results (“Talent Personal Data”). Dawn may share your Talent Personal Data with Dawn’s current portfolio companies, prospective portfolio companies, and Hackathon sponsors, for the purpose of presenting them with a potential talent pool. Your Talent Personal Data is collected, processed and shared in accordance with our talent acquisition privacy notice which you can find on our website. If you have any questions relating to the collection, processing or sharing of your Talent Personal Data, or if you object to this processing, please contact Gamila Hassan at gamila@dawncapital.com. Dawn may collect and process your personal data, including, but not limited to, your name and contact details, for legitimate business purposes, including to administer the Event (“Administration Personal Data”). We may also share your Administration Personal Data with third parties such as printing companies or API credit providers that process your Administration Personal Data on our behalf and only for the purposes related to the Event. Dawn processes your Administration Personal Data in accordance with our privacy notice, available on our website. If you have questions about how your Administration Personal Data is handled, please contact us at notices@dawncapital.com before the Event. By attending this Event, I agree to assume all of the risks pertaining to and / or associated with the Event, and, to the full extent permitted by applicable law, I agree (i) to waive, release, and discharge Dawn, its affiliated entities and any external organisers, service providers and / or sponsors (as applicable to the Event), from any and all liability for negligent property damage, property theft or actions of any kind which may hereafter accrue to me, and (ii) to indemnify and hold harmless, any of the aforementioned, against any and all loss, liabilities or claims made by any other individuals or entities as a result of my actions at the Event.