A new London-based AI lab called Inherent has emerged from stealth with a substantial $50 million seed round, co-led by Index Ventures and Radical Ventures. The investment also includes participation from Nvidia's venture arm NVentures, Ex/Ante, Metaplanet, Macroscopic Ventures, and Mythos Ventures. This round ranks among Europe's largest AI stealth-to-launch seed rounds in 2026, signaling strong investor confidence in the team's vision.
Inherent is building a platform named Faraday, after the pioneering scientist Michael Faraday. The core mission of Faraday is not to answer scientific questions faster, but to determine which questions are even worth asking in the first place. According to Danny Rimer, partner at Index Ventures, most AI systems today are designed to provide answers, but they lack the ability to exhibit the open-ended curiosity that led to breakthroughs like penicillin, the microwave, or the GPU. Inherent aims to fill that gap.
The Team Behind Inherent
The founding team brings together deep expertise from some of the world's leading AI organizations. Tantum Collins and Edward Hughes previously collaborated on cooperative AI research at DeepMind, the Alphabet-owned AI research lab known for its breakthroughs in reinforcement learning and game-playing AI. Louis Kirsch, another co-founder, also spent significant time at DeepMind. Kaloyan Aleksiev came from Reka AI and Microsoft, adding experience from the fast-growing AI startup ecosystem and a major tech corporation.
What sets Inherent apart from many AI labs is Collins's policy background. Before co-founding Inherent, he worked on AI policy at the Biden White House, giving him an unusual vantage point on the intersection of technology and government regulation. Matt Clifford, co-founder of the startup accelerator Entrepreneurs First and the UK government's former AI tsar, has joined Inherent as an adviser, further strengthening the company's credibility with both the scientific community and policymakers.
Faraday: The AI-Native Science Platform
Faraday is designed to pair human researchers with AI agents that can iteratively improve themselves on hard scientific problems. The company describes this paradigm as "AI-native science," which it believes will fundamentally differ from the scientific method as practiced for the past 400 years. Index Ventures framed this bet as a recognition that AI-native science will be messier, less legible, but capable of producing exceptional outcomes that human researchers alone could not reach.
The conviction behind Inherent is that the most valuable application of frontier AI is not merely automating existing workflows, but enabling discoveries that expand the boundaries of human knowledge. By using AI agents that can explore vast hypothesis spaces far faster than humans, while leaving human judgment, taste, and ethical guardrails in place, Inherent hopes to accelerate the pace of scientific discovery across multiple domains.
Inherent as a Public Benefit Corporation
Inherent is structured as a public benefit corporation (PBC), a legal form that requires the company to consider its impact on society alongside shareholder returns. This structure is rare for a venture-backed AI lab and signals that the founders view governance as a competitive advantage rather than a constraint. By formally committing to societal benefit, Inherent hopes to attract talent and partners who share its values, while also differentiating itself from other AI labs focused purely on profit.
The PBC structure also aligns with the company's mission to improve scientific discovery in a responsible manner. As AI becomes more powerful, questions of safety, ethics, and societal impact become increasingly important. Inherent's approach suggests that governance can be a strategic asset, not just a compliance burden.
Context: Europe's AI Funding Surge
Inherent's $50 million seed round is part of a broader trend of European AI startups raising significant capital. European AI companies are increasingly demonstrating that they can compete on the global stage, raising funds previously reserved for Silicon Valley. Recent examples include Peec AI achieving $10 million annual recurring revenue in just six months, Lovable generating $100 million in single-month revenue, and Mistral reaching $300 million annual recurring revenue. The gap between European and American AI funding is narrowing, particularly for companies building in categories where the technology is genuinely new and breakthrough.
Anthropic's Glasswing project recently demonstrated that frontier AI can find vulnerabilities at a rate that outpaces human remediation. Inherent's bet is that the same dynamic applies to scientific discovery: AI agents can explore hypothesis spaces faster than human researchers, while humans provide the judgment, taste, and ethical guardrails that agents cannot replicate.
Implications for Scientific Discovery
The traditional scientific method relies on human intuition, trial and error, and serendipity to formulate hypotheses. But as scientific knowledge expands, the hypothesis space becomes exponentially larger, making it increasingly difficult for humans to identify the most promising lines of inquiry. Inherent's Faraday platform aims to automate the hypothesis generation stage, allowing AI to propose novel questions and experimental designs that human researchers can then evaluate and refine.
This approach could have profound implications for fields such as drug discovery, materials science, and climate research, where the number of possible experiments is staggering. By focusing on question rather than just answer generation, Inherent hopes to catalyze breakthroughs that might otherwise take decades.
The team's combination of DeepMind research credentials and White House policy experience gives it unusual positioning. It can credibly pitch to both the scientific establishment and the government institutions that fund basic research. Whether Faraday delivers on the promise of AI-native science will take years to evaluate, but the $50 million buys the time and resources to find out.
As AI continues to advance, the ability to ask the right questions may become as important as the ability to answer them. Inherent is betting that the next era of scientific discovery will be defined by a partnership between human curiosity and machine intelligence, where AI helps humans see beyond the limits of their own imagination.