Top UK AI Startups For 2025

1. Robin AI

Founders: Richard Robinson and James Clough

Earning second place on the 2025 Startups 100 Index, Robin AI is designed specifically for legal teams and businesses. Lawyers and other legal professionals often spend hours on repetitive, time-consuming tasks, preventing them from focusing on more high-level legal work. 

Through advanced AI and natural language processing (NLP), Robin AI’s platform automates and streamlines these processes, offering faster report generation, quicker contract reviews and the ability to find contract data in less than 3 seconds. 

The company’s forward-thinking saw it land an impressive $26 million in funding in 2024. This strong financial backing, along with its innovative use of AI to transform legal workflows, truly makes it a pioneer in the AI space.

2. MAGIC AI

Founders: Varun Bhanot and Sunil Jindal

MAGIC AI mirrors can’t peer into the future. However, what they can do is offer personalised fitness guidance and real-time feedback on your form to help you reach your fitness goals – all from the comfort of your own home. 

56% of the UK population finds going to the gym intimidating, so MAGIC AI’s founders made it their mission to create a more accessible and comfortable fitness experience through its smart mirrors – helping customers build confidence and get a decent workout without the pressure of a public gym.

With this, MAGIC AI is redefining how we approach exercising, making it more engaging and accessible than before.

3. FYLD

Founders: Shelley Copsey, Anish Patel and Karl Simons

Fieldwork operations in many industries (e.g. utilities, construction and energy) often rely on outdated safety practices. As a result, workers often face dangerous environments and are burdened with paperwork, while managers struggle to monitor their activities in real-time.

Through AI technology, FYLD offers businesses the ability to carry out real-time risk assessments, allowing field workers to capture site conditions through video, photos, audio and text. This data is then converted into video risk assessments, in turn eliminating time-consuming paperwork and ensuring comprehensive documentation.

FYLD stands out as a top tech company because it revolutionises outdated field operations with AI-powered solutions that improve safety, efficiency and communication.

4. Userled

Founders: Yann Sarfati and Tristan Saunders

Personalisation is a must for attracting your target audience, but most times, developing these marketing campaigns can take a long time. That’s where Userled comes in.

Through the use of AI technology, Userled’s platform automates the creation of these campaigns in seconds, as well as deploys them across multiple platforms such as email, LinkedIn and Meta. Businesses can also use the platform to integrate with CRM systems and IP reveal providers to track engagement and conversions in real-time.

This innovative approach is what truly sets Userled apart in the AI space and a key player in the future of digital marketing.

5. Unify AI

Founder: Daniel Lenton

AI can be scary if you don’t know how to use it properly. That’s why Unify AI helps businesses discover the potential of AI by giving them access to the best quality Large Language Models (LLMs). 

By matching developers with the right LLMs based on their requirements, Unify AI simplifies the process and makes it easier for businesses to integrate AI tools into their operations.

Having secured an $8 million funding round in 2024, Unify AI is well on its way to growing further and making its AI solutions accessible to more businesses – helping them improve customer service and make smarter decisions with ease. 

6. Mindgard

Founders: Peter Garraghan and Steve Street

While AI has its obvious advantages, it can also pose significant security risks that traditional processes can’t fix.

Luckily, Mindgard comes to the rescue through its full-stack solution in AI security, including automated penetration testing, threat detection, response and Data Loss Prevention (DLP). This allows businesses to deploy AI safely, as well as identify vulnerabilities before they’re exploited, respond to potential threats in real-time and safeguard information with advanced data protection measures.

With the rise of AI-related cyber attacks – including 61% of organisations seeing an increase in deepfake attacks – Mindgard’s approach is essential in safeguarding business, making it a standout in the AI security space.

7. Purple Transform

Founders: Neil Latter and Gregory Butler

The UK has approximately 7.5 million CCTV cameras in the UK. However, as they require constant surveillance, it isn’t always possible to spot security occurrences with human personnel. 

This is where Purple Transform comes into the picture. Its SiYtE platform leverages computer vision, Internet of Things (IoT) sensors and advanced data analytics to detect certain security risks (e.g. trespassers on a train track) and alert the appropriate personnel.

Purple Transform’s use of AI technology enables businesses to improve safety and respond to potential issues with speed and precision. This not only ensures a safer environment but empowers businesses to act quickly, minimising downtime and preventing costly disruptions.

8. Lumi

Founders: Silas Adekunle andChris Beck

Laboratories increasingly leverage robotics to improve efficiency, accuracy and productivity. However, robots aren’t often given a data structure to make sense of the lab world, and there’s a significant burden on scientists to manually capture data.

To tackle this, Lumi rolled out its own AI-powered platform designed to automate and enhance laboratory operations – using computer vision to capture, collate and analyse experience data, in turn speeding up research and development (R&D) processes, improving compliance and providing detailed insights into experiments.

Recognised for its cutting-edge solutions, Lumi is reshaping the future of laboratory management, rightfully earning its place as a leading company in the AI space.

9. Mach42

Founders: Muhammad Firmansyah Kasim, Brett Larder, Sam Vinko and Gianluca Gregori

Complex numerical simulations are critical to a scientist’s work, but they often take a long time to carry out and manual deployment only makes this process more time-consuming.

Formerly known as Machine Discovery, Mach42 built its Discovery Platform to give software engineers the ability to explore the design space of semiconductor circuits efficiently and much faster than the regular approach – allowing for rapid testing, optimisation and verification of complex designs.

Mach42 secured £4.5 million in 2023 to drive the commercial adoption of its technology across the semiconductor design space and other markets – making it a key player in the space for future advancements in AI-driven semiconductor solutions.