AI Score
A London platform connecting policies, ownership, risk and the real-world use of enterprise AI in one control layer.
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Podcast Episode
🎙️ Deep Dive
AI Score, Octave.energy, Creoir — €4.6M for AI governance, €10M for smart batteries and defence voice AI funding — Daily News September 4, 2026
Listen to the episodeAbout AI Score
AI Score develops a continuous-governance platform for enterprise artificial intelligence. Its software inventories tools, models, workflows and agents, assigns owners and risk profiles, and maintains an auditable record of usage, costs and performance. Founded in London in 2025 by Alex Harland and Benita Tibb, the company raised a €4.6 million seed round, equivalent to $5.4 million, led by Fuel Ventures. The funding will support product development, hiring and commercial expansion. The proposition addresses a real problem, but its value will depend on integrating heterogeneous systems and converting visibility into better decisions rather than another compliance dashboard.
The Story
Founded in 2025 by Alex Harland and Benita Tibb to make enterprise AI adoption observable and governable.
How AI Score works
Business Model
B2B software for enterprises and regulated organisations deploying AI applications and agents.
Revenue Model
Enterprise SaaS and potential implementation contracts; pricing and commercial terms have not been disclosed.
Products & Services
Key Products
- AI Score
Core Use Cases
- Inventory of AI applications, models and agents
- Assignment of owners and risk profiles
- Audit trails and monitoring of usage, costs and performance
- Enforcement of AI-governance policies
Market & Clients
Key Customers
Large enterprises, financial institutions and regulated organisations adopting generative AI and agents.
Geographic Presence
How AI Score competes
Competitors
Competitive Advantages
- Continuous governance connected to operational usage
- A unified inventory of tools, workflows and agents
- Ownership and risk profiles embedded in the audit trail
How AI Score grows
Growth Strategy
Expand the product and integrations, hire staff and increase distribution among regulated enterprises.
Distribution Model
Direct enterprise sales with implementation and integration into corporate systems.
Moat (Defensibility)
Enterprise integrations, historical operating data, ownership mapping and embedding in risk and compliance processes.
Regulatory Context
The EU AI Act, sector-specific rules and internal risk obligations increase demand for inventories, ownership and auditable documentation.
Key Risks
- Dependence on access to heterogeneous systems and telemetry
- Rapidly evolving AI regulation and standards
- Risk of becoming a reporting layer without decision impact
- Competition from governance platforms and major cloud providers
Strategic Insights
- Continuous governance can become infrastructure when it connects policies with the actual behaviour of AI systems.
- Competitive advantage will depend on integration depth and the quality of operational signals collected.
Funding & Investors
Total Funding
Funding Rounds
- 2025 - Pre-seed: $1M
- 2026 - Seed: $5.4M / €4.6M
Lead: Fuel Ventures
Key Investors
Founding Team
Founders
Key Executives
- Jonathan Kewley - Co-founder e advisor
Key Metrics
Lessons from AI Score
- In regulated markets, visibility into real technology use can be a stronger entry point than reporting alone.
- A dashboard creates value only when it changes ownership, priorities and decisions.
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Read AnalysisSources
- London’s AI Score raises €4.6 million to help businesses keep AI agents under control — EU-Startups
- UK startup AI Score raises $5.4M to scale its enterprise AI governance platform — Tech.eu
- Former NCSC executive raises millions for start-up AI Score — Sky News
- AI Score — Govern AI with confidence — AI Score