As artificial intelligence moves from experimental chatbots into autonomous systems capable of making decisions and interacting with business infrastructure, companies are facing a new challenge: how to scale AI without losing visibility over what it is doing. London based AI governance startup AI Score is addressing that challenge with a $5.4 million seed funding round to expand its platform for monitoring and governing generative and agentic AI across organisations.
The round was led by Fuel Ventures, with participation from founding investor GALLOS Technologies. The financing also attracted investors from the technology, financial services and national security sectors, including Alan Morgan, co founder of MMC Ventures, and Mo El Husseiny, Managing Partner of Ventura Capital. The latest funding follows AI Score’s $1 million pre seed round announced in November 2025.
Building AI Governance Infrastructure
Founded by Alex Harland, CEO, and Benita Tibb, COO, AI Score is developing a real time governance platform designed to give organisations greater visibility into how artificial intelligence is being used across their operations.
The company’s platform is built around the idea that conventional governance systems were designed for human led processes and relatively predictable software. AI systems introduce a different level of complexity because they can generate content, make recommendations, access business systems and, increasingly, take actions with limited human intervention.
AI Score aims to provide organisations with the tools needed to understand where AI is being deployed, how it is being used and what risks may emerge from that activity.
Managing the Rise of AI Agents
The company is placing particular emphasis on agentic AI, a category of systems capable of carrying out multi step tasks and interacting with external applications, data sources and people.
As organisations deploy increasing numbers of AI agents, management teams need to know what those agents can access, what actions they can take and whether their behaviour remains within approved boundaries.
AI Score’s platform is designed to provide guidance, guardrails and safety controls as agents are introduced into enterprise environments. It also aims to give executives and boards greater visibility into AI activity, allowing governance teams to identify potential risks and establish policies around autonomous systems.
Intelligence Led Governance
AI Score describes its approach as intelligence led governance, with oversight integrated directly into the deployment and operation of AI systems rather than being treated as a separate compliance exercise.
The platform tracks AI use across an organisation and provides controls intended to help businesses manage issues related to security, accountability and oversight.
This approach is becoming increasingly relevant as businesses move from isolated AI pilots to systems that are embedded in customer service, internal operations, software development and other critical workflows.
Alex Harland, co founder and CEO of AI Score, said traditional governance was not designed for AI operating at the scale and level of automation now becoming possible. He said organisations need to move quickly to capture the benefits of AI while maintaining visibility and control.
Expanding Enterprise Capabilities
The new funding will be used to accelerate development of AI Score’s governance platform and strengthen its go to market capabilities.
A major focus will be expanding the company’s tools for managing agentic AI across enterprises. This includes supporting organisations as they move from individual AI applications toward environments where multiple agents may operate simultaneously across different departments and systems.
The company’s focus on governance also places it within a rapidly developing enterprise technology market, where businesses are looking for ways to adopt increasingly capable AI while meeting internal security requirements and regulatory expectations.
Preparing for the AI Age
The latest investment marks an important step for AI Score less than a year after its initial pre seed financing. With $6.4 million in disclosed funding across its pre seed and seed rounds, the startup now has additional capital to develop its technology and expand its commercial reach.
For enterprises, the challenge is no longer simply deciding whether to use AI. As autonomous systems become more capable, organisations must also determine how those systems should be monitored, controlled and held accountable.
AI Score is betting that governance will become an essential layer of the AI stack, providing businesses with the oversight needed to deploy increasingly autonomous technology while maintaining confidence in how it operates.