Mathias Løvring (Balance YC W26)

One of the core things we’re going to have to contend with in AI is that even the most advanced models in the word can’t have all the relevant knowledge needed to be useful, because everyone has different use-cases and ways they’ve designed their workflows. Perhaps most importantly, as you get into the enterprise, everyone has entirely different access levels to corporate knowledge and information. Continual learning at the model layer, even at a single enterprise level, is near impossible because every user knows and has access to something different than another user. This isn’t like coding where by and large most developers can access all the relevant stuff to their job. On a single banking team, bankers have entirely different sets of documents they’re ever allowed to see. Sanitizing this is hard and having the model keep secrets is impossible. This is why the context layer is going to always be the core part of the AI stack for applied use cases to turn general models turn into useful agents. Can’t fight the physics on this one.

@alexanderbach_ @raphaelschaad @Balance1189951 you are a star! so happy to work together!

@raphaelschaad Go @Balance1189951 🚀 happy to have joined as a customer

Balance is fullstack AI accounting firm for SMBs that actually works. Congrats to Mathias, Emil, & Gus on launch. Relentless European founders represent! Just gotta work on that Twitter handle guys … 🫠

Before the end of 2026, 99% of all code will be written by AI

Trust me; in 5 years the role of the human bookkeeper will be extinct.

92% of accounting professionals say they spend too much time on manual tasks. Here’s the part no one talks about: Most people in the industry have accepted it as normal. That’s the real problem.