Noel Hurley, Co-founder & CEO, Literal Labs | Slush 2025
summary
Literal Labs argues that rethinking algorithms rather than only expanding data‑center infrastructure yields massive savings, using logic‑based networks that claim orders of magnitude lower energy and speed. A cloud/edge platform trains up to 70,000 models a day, deploys to microcontrollers or inference servers, and cut a food‑company demand forecast for 1,200 ingredients from hours to a single 30 millisecond run. Proofs of concept include a UK water utility (3 million customers) reducing spills and avoiding up to £100M in fines; seed round opens in January.
AI-written summary · about
related talks
22mSponsored Demo: Cut the Bill, Not the Brains. AI Coding Agents That Ship More and...
16mAI + Code = Efficiency
15mAI Trends, and Running LLMs in the Enterprise
53mHow to Build and Scale Ultra-Lean Gen AI Startups
11mGenesis Startup Competition Pitch: Lytehouse
27mVibe NLP for Applied NLP
17mKeynote: Programming the Cloud as Easily as Your Laptop
39mPragmatic AI: Reshaping the Product Opportunity Tree