Inherent Says Its 27B Science Agent Beat OpenAI and Anthropic on Paper Replication

Inherent says its Faraday agent independently reproduced findings from published scientific papers without receiving the answers in advance, outperforming Anthropic’s Claude Opus 4.8 and OpenAI’s GPT-5.5 in the company’s evaluation. That comparison puts a young London lab’s bet on research-agent design against much larger frontier systems.

A rehearsal for the larger goal

Faraday was asked to recover findings already reported in papers, rather than generate new scientific knowledge. That distinction is central: Inherent’s stated long-term goal is an agent that contributes to discovery across scientific fields. Cofounder and chief scientist Edward Hughes described replication as a common starting exercise for researchers, saying many PhD students begin there.

The company’s approach is built around what it calls research taste: deciding which experiments are worth running and how to design them. Inherent used reinforcement learning, which rewards desired outcomes, to train Faraday toward that experimental judgment. It is betting this method will generalize across fields more effectively than training an agent primarily on descriptions of scientific practice.

A smaller core model, with outside tools

Inherent chose not to build its own coding tool, instead having Faraday use GPT-5.5 Codex. That design choice makes the reported win less a clean base-model contest than a test of how a research agent combines a core model, reward-based training and specialized software.

The disclosed Faraday setup

• Qwen 3.6 as the 27-billion-parameter core model described by Inherent.
• Reinforcement learning aimed at experimental selection and design.
• GPT-5.5 Codex for coding instead of an Inherent-built coding tool.

The evidence still stops at replication

The disclosed evaluation includes no numerical scores, named test papers or methodology, limiting what can be concluded from the comparison. It supports Inherent’s early case for its research-agent approach, but does not yet demonstrate that Faraday can produce reliable new science.

Inherent emerged from stealth with a $50 million seed round and has about a dozen employees. It plans to grow to roughly 20 to 25 people by year-end; its most consequential next proof point will be whether experimental judgment carries beyond reproducing published results.