London-based AI lab Inherent emerges from stealth with $50m raise

2026-05-29 · Source: Tech.eu - Tech.eu · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

London-based AI lab Inherent has emerged from stealth with a \$50 million seed round co-led by Index Ventures and Radical Ventures. Founded by former staff from DeepMind, Microsoft, and the White House, Inherent aims to "write the playbook for AI-native science." The lab is developing Faraday, an AI system designed to facilitate collaboration between humans and self-improving AI to address complex scientific problems. Co-founders Tantum Collins, Edward Hughes, and Louis Kirsch previously worked at DeepMind, while Kaloyan Aleksiev came from Reka AI and Microsoft. Collins also advised on AI policy at the White House under President Biden. Matt Clifford, co-founder of Entrepreneurs First, serves as an advisor, highlighting the team's impressive background. Inherent's mission involves exploring scientific discovery frontiers by reimagining the scientific method using AI from first principles.

Key takeaway

For investors evaluating early-stage AI ventures, Inherent's \$50 million raise and focus on "AI-native science" signal a significant trend towards fundamental scientific discovery. You should consider how this approach, combining human and self-improving AI, could redefine research paradigms and create long-term value. This model suggests future AI investments may increasingly target foundational scientific problem-solving rather than just application-layer solutions.

Key insights

Inherent aims to redefine scientific discovery through an AI-native approach, fostering human-AI collaboration with its Faraday system.

Principles

• Reimagining the scientific method from first principles.
• Foster human-AI collaboration for scientific discovery.
• Develop AI-native approaches to scientific problems.

In practice

• Applying AI to complex scientific challenges.
• Exploring new frontiers in scientific discovery.
• Developing systems for human-AI scientific partnership.

Topics

• AI-native Science
• Scientific Discovery
• Human-AI Collaboration
• AI Startups
• Venture Capital
• DeepMind Alumni

Best for: AI Scientist, Investor, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.