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Building State-of-the-Art Agents with Mercor | Applied Compute

appliedcompute.com · 44,986 words · saved by 1 readers

How Applied Compute's long-horizon RL stack turned Mercor's expert data into a top ranked agent at a fraction of the cost

We built APEX-Agents because we believed expert data could produce expert-level AI. The hardest part of building economically useful AI agents is knowing whether your data is teaching the right things. Applied Compute gave us that answer quickly and precisely with frontier training infrastructure. Brendan Foody Founder and Co-CEO, Mercor Mercor has solved one of the hardest problems in AI development: getting real experts to produce real training data at scale. Their platform recruits and deploys domain specialists from the world's top institutions, transforming hard-won professional judgment

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