AI risk platform Signal AI raises £122.1m led by Battery Ventures
At a glance
This article covers an investment round on 24 September 2025 in Signal AI, a London-based global risk and reputation intelligence platform provider founded by David Benigson. The company raised £122.05m in a round led by Battery Ventures.
What does Signal AI do?
Signal AI is a global risk and reputation intelligence platform that uses AI to analyse external media and unstructured data. It provides senior executives with insights to identify risks, simulate scenarios and inform business decisions.
Why is Signal AI useful?
Problem
People struggle to spot overlooked corporate risks hidden in vast, unstructured external data from media and social platforms. Senior executives lack fast, clear intelligence to assess threats across 226 markets and 75 languages.
Solution
Signal AI explains that it uses AI to analyse unstructured external data and highlight overlooked corporate risks in real time. Its Ask AIQ agent lets senior executives query global risks, simulate scenarios, and receive actionable intelligence instantly.
How much did Signal AI raise?
Signal AI raised £122.05m ($165m) in funding, in a round led by Battery Ventures. This makes it the 3rd largest funding round in September 2025 (50 recorded). It ranks 15th of the year (457 recorded) in the Startupmag database, as of 24 September 2025.
For details on how Startupmag compiles its rankings, view our Methodology.
Who invested in Signal AI?
Key investors included:
- Battery Ventures: A US venture capital firm that invests in technology companies across stages. Its portfolio includes Plain.
If you're researching potential backers in this space:
- Explore our list of AI venture capital firms in the UK
- Browse our directory of AI angel investors in the UK
Who founded Signal AI?
David Benigson is the founder of Signal AI.
Where is Signal AI based?
Signal AI is based in London, UK.
What sector is Signal AI in?
Signal AI operates in the AI sector. The AI sector builds computer systems that learn from data and make decisions. In plain terms, it uses smart software to spot patterns and provide answers.
Key trends and challenges in AI:
Regulation and governance
New laws such as the EU AI Act require clearer rules for high-risk AI systems and audits.
Trust and explainability
Organisations need AI outputs they can explain and audit, especially for senior decisions or regulatory reviews.
Data scale and integration
Businesses struggle to integrate large, multilingual data into models, affecting accuracy and real-time insights.
For a deeper look at innovation in this space, see the latest funded AI startups in the UK
They've invested in Signal AI
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