Hallucination in LLMs isn't just annoying — it's catastrophic for high-stakes domains like drug discovery, genomics, and quantitative finance. A single wrong prediction can burn years of research and millions in capital.

Apodex is tackling this with their Frontier Program: up to $100k/month in compute credits for research labs and deep tech startups. The focus? Reasoning models optimized for accuracy over convenience — think deterministic outputs, verifiable chains of thought, and domain-specific fine-tuning.

This isn't about chatbots. It's about building AI infrastructure where being wrong isn't an option. If you're working on problems where hallucinations = dead ends, this is worth checking out.

Built by Tianqiao Chen's team.