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AllInherent

Inherent

Develops AI models and scientific agents for…

How they use Nebius AI Cloud

Inherent trained Faraday, its 27B-parameter AI Scientist, on Nebius AI Cloud, according to Nebius EMEA General Manager Gary Tierney. Inherent describes Faraday as a model trained through long-horizon reinforcement learning to replicate scientific research using coding agents as tools.

For training, Inherent introduced Replica, a task space initially comprising 310 tasks from 100 machine learning and AI-for-science papers. Tasks ask agents to reproduce research figures within time and compute limits without seeing the original plot. Inherent reports that Faraday produced more faithful replications than its Claude Opus 4.8 and GPT-5.5 baselines across the research categories tested.

Sources

3 sources

Gary Tierney on Faraday training

19 Oct 2026 · LinkedIn · Web page

Gary Tierney congratulates Inherent on Faraday's release and states that the model was trained on Nebius AI Cloud.

Open original source
Gary Tierney on Faraday training19 Oct 2026 · LinkedIn · Web pageGary Tierney congratulates Inherent on Faraday's release and states that the model was trained on Nebius AI Cloud.

Nebius NVIDIA GTC Berlin 2026

19 Oct 2026 · Nebius · Web page

Nebius lists Inherent Labs as a cohost with Nebius and NVIDIA of a breakfast scheduled for October 21, 2026. The page also identifies Gary Tierney as Nebius's EMEA General Manager.

Open original source
Nebius NVIDIA GTC Berlin 202619 Oct 2026 · Nebius · Web pageNebius lists Inherent Labs as a cohost with Nebius and NVIDIA of a breakfast scheduled for October 21, 2026. The page also identifies Gary Tierney as Nebius's EMEA General Manager.

Building Agent-First Infrastructure

19 Oct 2026 · Luma · Web page

The Nebius Events listing names Nebius, Inherent and NVIDIA as hosts of Building Agent-First Infrastructure.

Open original source
Building Agent-First Infrastructure19 Oct 2026 · Luma · Web pageThe Nebius Events listing names Nebius, Inherent and NVIDIA as hosts of Building Agent-First Infrastructure.

Company context

inherentlabs.ai

Inherent is a London-based AI research lab developing models and scientific agents for researchers and R&D teams. Its Faraday agent uses reinforcement learning and coding tools to reproduce findings from scientific papers, with the longer-term aim of supporting discovery across disciplines. The lab also developed Replica, a training task suite based on reproducing research figures in fields including machine learning, materials science and weather forecasting. Inherent combines this technical work with research into how human scientists and AI agents collaborate.

Inherent

Documented financing · private company

AmountUS$50 millionSeed
· Index Ventures

Recent updates

1 update
  1. Product launch

    Inherent introduces Faraday AI scientist and Replica training tasks

    Inherent introduced Faraday, a 27-billion-parameter AI agent trained to replicate scientific research using coding agents. The company says it outperformed Claude Opus 4.8 and GPT-5.5 on its replication evaluation, which uses 310 tasks drawn from 100 research papers.

    Inherent
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Inherent

Inherent develops AI models and scientific agents for research and discovery. · Model developers

How they use Nebius AI Cloud

Inherent trained Faraday, its 27B-parameter AI Scientist, on Nebius AI Cloud, according to Nebius EMEA General Manager Gary Tierney. Inherent describes Faraday as a model trained through long-horizon reinforcement learning to replicate scientific research using coding agents as tools.

For training, Inherent introduced Replica, a task space initially comprising 310 tasks from 100 machine learning and AI-for-science papers. Tasks ask agents to reproduce research figures within time and compute limits without seeing the original plot. Inherent reports that Faraday produced more faithful replications than its Claude Opus 4.8 and GPT-5.5 baselines across the research categories tested.

Sources

3 sources

Gary Tierney on Faraday training

19 Oct 2026 · LinkedIn · Web page

Gary Tierney congratulates Inherent on Faraday's release and states that the model was trained on Nebius AI Cloud.

Open original source
Gary Tierney on Faraday training19 Oct 2026 · LinkedIn · Web pageGary Tierney congratulates Inherent on Faraday's release and states that the model was trained on Nebius AI Cloud.

Nebius NVIDIA GTC Berlin 2026

19 Oct 2026 · Nebius · Web page

Nebius lists Inherent Labs as a cohost with Nebius and NVIDIA of a breakfast scheduled for October 21, 2026. The page also identifies Gary Tierney as Nebius's EMEA General Manager.

Open original source
Nebius NVIDIA GTC Berlin 202619 Oct 2026 · Nebius · Web pageNebius lists Inherent Labs as a cohost with Nebius and NVIDIA of a breakfast scheduled for October 21, 2026. The page also identifies Gary Tierney as Nebius's EMEA General Manager.

Building Agent-First Infrastructure

19 Oct 2026 · Luma · Web page

The Nebius Events listing names Nebius, Inherent and NVIDIA as hosts of Building Agent-First Infrastructure.

Open original source
Building Agent-First Infrastructure19 Oct 2026 · Luma · Web pageThe Nebius Events listing names Nebius, Inherent and NVIDIA as hosts of Building Agent-First Infrastructure.

Company context

inherentlabs.ai

Inherent is a London-based AI research lab developing models and scientific agents for researchers and R&D teams. Its Faraday agent uses reinforcement learning and coding tools to reproduce findings from scientific papers, with the longer-term aim of supporting discovery across disciplines. The lab also developed Replica, a training task suite based on reproducing research figures in fields including machine learning, materials science and weather forecasting. Inherent combines this technical work with research into how human scientists and AI agents collaborate.

Inherent

Documented financing · private company

AmountUS$50 millionSeed
· Index Ventures

Recent updates

1 update
  1. Product launch

    Inherent introduces Faraday AI scientist and Replica training tasks

    Inherent introduced Faraday, a 27-billion-parameter AI agent trained to replicate scientific research using coding agents. The company says it outperformed Claude Opus 4.8 and GPT-5.5 on its replication evaluation, which uses 310 tasks drawn from 100 research papers.

    Inherent