Reliant's paper-scouring AI takes on science's data drudgery | TechCrunch
Briefly

"The best thing you can do with AI is improve the human experience: reduce menial labor and let people do the things that are important to them," said CEO Karl Moritz.
For one study, Moritz recalled, "The authors had to look at 3,500 scientific publications, and a lot of them ended up not being relevant. It's a ton of time spent extracting a tiny amount of useful information - this felt like something that really ought to be automated by AI."
Reliant's core product, Tabular, is based on an LLM in part (LLaMa 3.1), but augmented with other proprietary techniques, is considerably more effective. On the multi-thousand-study extraction above, they said it did the same task with zero errors.
"That's just not good enough," said Moritz. "For these knowledge tasks, menial as they may be, it's very important that you don't make mistakes."
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