Building a Data Flywheel for Your AI Startup (Lunch&Learn)

​LUNCH WILL BE SERVED :)

​How can your AI product get better as more people use it?

​Join 3x founder Simon Woodside, Expert Advisor @ iF, for an interactive session exploring data flywheels—a cycle where user activity generates useful data, that data improves your AI product, and those improvements create more value for users and a competitive moat for your business.

​Drawing on his experience in iterative product and business development, Simon will explore how founders can design this feedback loop into their products. He’ll demonstrate a small AI sandbox to show the process in action, with an opportunity for attendees to download it and experiment afterward (coding not required).

​What we’ll explore:

• ​Identifying opportunities for a data flywheel within your product.

• ​Turning user interactions and feedback into useful improvements.

• ​Where context engineering, RAG, fine-tuning, and open models fit.

• ​Designing a small experiment to test your approach.

​Expect a mix of conversation, live demonstration, and Q&A, with opportunities to discuss real examples from attendees.

​Who should attend?

​Founders and product or technical leads building AI-native or AI-enabled products.
Bring your questions: Come ready to share a product example or a challenge you’re facing with user feedback, data, or AI performance.