Leading Machine Learning Analytics Companies in the UK

  • Updated on August 7, 2025

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    The UK is home to a vibrant ecosystem of machine learning analytics companies that are transforming industries with intelligent data solutions. From startups to established players, these companies use advanced algorithms, AI models, and predictive analytics to unlock value, improve decision-making, and fuel business growth. In this article, we explore the top players in the UK’s machine learning landscape and how they are shaping the future of analytics.

    1. A-listware

    We are A-listware, an IT outsourcing company that provides remote software development and machine learning analytics teams to businesses across Europe and the UK. We specialize in building dedicated teams of developers who work on a wide range of digital solutions. Our team handles recruitment, hiring, and ongoing management, offering our clients a flexible alternative to in-house development.

    Our services support both long-term software projects and specific technical needs in ongoing work. A large part of what we do involves front-end development—enhancing the design and functionality of web interfaces and applications.

    We place a strong emphasis on smooth communication and seamless integration, enabling our clients to manage distributed front-end teams without disrupting their workflow. This approach helps companies scale their front-end projects effectively while maintaining flexibility in their resource planning.

    Key Highlights:

    • Offers remote development teams for long-term and short-term projects
    • Focuses on seamless integration with client workflows
    • Supports full project lifecycle from hiring to management

    Services:

    • Front-end and back-end development
    • DevOps and remote team management
    • Ongoing technical support and integration

    Contact Information:

    2. Darktrace

    Darktrace is a UK-based company focused on applying machine learning to cybersecurity. Since 2013, they have been developing systems that use AI to monitor digital environments and respond to potential threats. Their approach centers on creating adaptive models that learn from an organization’s data patterns, aiming to identify unusual activity without relying on predefined threat signatures. Their research and development are mainly conducted in Cambridge, UK, with additional facilities in the Netherlands.

    They use an AI system that operates across various areas of a business’s IT setup, such as email, cloud services, endpoints, and networks. The platform is designed to deliver continuous insights into system behavior and provide automated responses to suspicious actions. Instead of traditional security rules, their system relies on real-time learning and adapts its defenses over time.

    Key Highlights:

    • Focuses on AI-driven cybersecurity
    • Operates R&D centers in the UK and the Netherlands
    • Uses self-learning AI to track and react to threats in real-time
    • Covers multiple layers of IT infrastructure

    Services:

    • AI-based threat detection
    • Autonomous incident response
    • Real-time system monitoring
    • Visibility across digital environments including email, cloud, and endpoints

    Contact Information:

    • Website: www.darktrace.com
    • E-mail: sales@darktrace.com
    • Twitter: x.com/Darktrace
    • LinkedIn: www.linkedin.com/company/darktrace
    • Address: 80 Strand London WC2R 0DT
    • Phone: +44(0)20 7072 1769

    3. Seldon

    Seldon develops machine learning infrastructure tools that help organizations deploy and manage AI models more efficiently. Based in the UK, they provide software that supports large-scale ML operations by reducing manual setup and enabling repeatable workflows. Their focus is on reducing resource waste and helping businesses scale ML projects with standardized tools and integrations.

    Their platform supports a variety of setups, including different cloud providers and ML toolkits, without needing custom configurations. By centralizing and standardizing deployment processes, Seldon enables organizations to roll out ML systems across teams with consistent practices and improved manageability.

    Key Highlights:

    • Specializes in machine learning model deployment
    • Offers tools that integrate with multiple platforms and tools
    • Helps reduce resource use and operational overhead
    • Supports consistent deployment practices across teams

    Services:

    • ML model deployment tools
    • Workflow automation for AI pipelines
    • Integration with cloud and on-premise environments
    • Tools for monitoring and managing model performance

    Contact Information:

    • Website: www.seldon.io
    • Twitter: x.com/seldon_io
    • LinkedIn: www.linkedin.com/company/seldon
    • Address: 45 Gresham Street, London, EC2V 7BG
United Kingdom

    4. Quantexa

    Quantexa is a UK company that uses machine learning to improve decision-making through contextual data analysis. They focus on building systems that link and unify different data sources, enabling organizations to see connections between entities and events. Their technology is used to create repeatable processes that support business decisions across a range of use cases.

    Their platform is designed to reduce duplication and improve agility by building a single data foundation that supports different functions. The aim is to give businesses a clearer understanding of their data by adding context, making it easier to automate or support decisions with consistent information across departments.

    Key Highlights:

    • Uses machine learning to link and analyze data in context
    • Builds systems that support multiple business use cases
    • Reduces data duplication and improves agility
    • Helps organizations automate and support decision-making

    Services:

    • Context-based data analysis
    • Unified data management platforms
    • Decision intelligence tools
    • Machine learning models for business process automation

    Contact Information:

    • Website: www.quantexa.com
    • Twitter: x.com/quantexa
    • LinkedIn: www.linkedin.com/company/quantexa
    • Address: C/O Company Secretarial Department 280 Bishopsgate, London, EC2M 4AG

    5. GlobalData

    GlobalData is a UK-based company that provides analysis and insights to help organizations understand and respond to global industry changes. They focus on delivering structured information across multiple sectors by combining internal data, expert interpretation, and digital tools. Their platform is designed to support faster decision-making in a variety of contexts, including business strategy and policy planning.

    The company offers a unified interface that integrates data from various sources, allowing users to navigate complex industry trends and challenges. Their services are used by both public and private sector clients looking to align with fast-moving developments in markets and regulation. GlobalData emphasizes structured intelligence rather than open-ended data analysis.

    Key Highlights:

    • Offers research and analytics across major industries
    • Provides a central digital platform for access to insights
    • Supports clients in public and private sectors
    • Combines data, tools, and expert views in one solution

    Services:

    • Industry intelligence platforms
    • Decision support for strategy and planning
    • Sector-specific data analysis tools
    • Research-backed content and reporting

    Contact Information:

    • Website: www.globaldata.com
    • Address: 5th Floor, Network House, Basing View, BASINGSTOKE, RG21 4HG
    • Phone: +44 207 936 6400

    6. Signal AI

    Signal AI is a UK company that works with external data sources, including news and social media, to provide companies with insights on risk, reputation, and market activity. They use machine learning to process information from different languages and regions, delivering summaries and alerts that help organizations respond to changes in their operating environment.

    Their platform combines different AI techniques to sort through large amounts of unstructured data and present only what is relevant to the user’s needs. Signal AI’s approach is centered on supporting decision-making without overwhelming teams with unnecessary information. Their focus is on practical applications for communications, compliance, and risk teams.

    Key Highlights:

    • Uses AI to process external media and data sources
    • Focuses on risk, compliance, and reputation monitoring
    • Provides relevant insights by filtering large data sets
    • Works across multiple languages and global regions

    Services:

    • External data monitoring tools
    • AI-generated insights for decision-making
    • Reputation and risk tracking solutions
    • Media and communications intelligence

    Contact Information:

    • Website: signal-ai.com
    • LinkedIn: www.linkedin.com/company/signal-artificial-intelligence
    • Address: 44 Featherstone St, 4th Floor, London EC1Y 8RN
    • Phone: +44(0) 20 3828 8200

    7. Faculty

    Faculty is a UK-based company that builds machine learning systems to help businesses improve their operations. Founded in 2014, they focus exclusively on AI and aim to make it directly useful in real-world settings. Their work includes helping organizations deploy ML models and build internal capabilities to manage AI projects.

    They have experience working across industries and sectors, offering support on both technical and strategic levels. Their approach involves building custom solutions rather than offering pre-built products. Faculty’s role often includes assisting in training teams and embedding long-term AI workflows into existing business structures.

    Key Highlights:

    • Develops custom AI systems for different industries
    • Works across both private and public sectors
    • Provides technical and strategic support
    • Focused on long-term AI integration

    Services:

    • Custom machine learning solutions
    • AI strategy and advisory
    • Team training and capability development
    • ML operations and deployment support

    Contact Information:

    • Website: faculty.ai
    • E-mail: press@faculty.ai
    • Twitter: x.com/faculty_ai
    • LinkedIn: www.linkedin.com/company/facultyai
    • Address: Level 5, 160 Old Street London, EC1V 9BW

    8. MindFoundry

    MindFoundry is a UK company that develops AI tools with a focus on responsible and ethically grounded machine learning. Originating from academic research, they create software that helps organizations apply AI in areas where decisions carry high impact. Their systems are designed with transparency and accountability in mind, which plays a role in how businesses structure data workflows and user-facing applications.

    They focus on delivering tools that are compatible with operational environments requiring trust and performance. This includes support for regulated industries and applications where systems need to align with human oversight. MindFoundry’s technology can be integrated into broader platforms, including front-end environments where AI-driven outputs are visualized or used by decision-makers.

    Key Highlights:

    • Applies AI in high-stakes, regulated settings
    • Originates from scientific research with focus on responsible AI
    • Focuses on transparency and interpretability
    • Works with use cases where outcomes impact individuals or large groups

    Services:

    • Responsible AI model development
    • Decision-support tools
    • Integration for regulated data environments
    • Software that aligns with governance and oversight needs

    Contact Information:

    • Website: www.mindfoundry.ai
    • E-mail: info@mindfoundry.ai
    • LinkedIn: www.linkedin.com/company/mind-foundry
    • Address: Ewert House Ewert Place Oxford England, UK OX2 7DD
    • Phone: +44 1865 649755

    9. Tiger Analytics

    Tiger Analytics provides AI and analytics consulting services across various industries. Their work focuses on helping companies process complex data, identify patterns, and make informed business decisions. They design and implement AI-driven solutions that address real-world problems, working with both structured and unstructured data sources. Their projects often involve setting up digital platforms that feed into end-user interfaces or reporting systems.

    Their services can extend into the front-end domain when analytics outputs are embedded into dashboards or client-facing applications. While their core expertise is in analytics and machine learning infrastructure, the insights they generate are often delivered through custom-built tools or interfaces, depending on client requirements.

    Key Highlights:

    • Focuses on solving business problems using analytics and AI
    • Works with large-scale, multi-source data environments
    • Provides customized AI systems and consulting
    • Engages in both strategic and technical project roles

    Services:

    • AI and machine learning consulting
    • Data engineering and analytics platforms
    • Dashboard and insight delivery tools
    • Support for deployment in production environments

    Contact Information:

    • Website: www.tigeranalytics.com
    • Facebook: www.facebook.com/tigeranalytics
    • Twitter: x.com/tigeranalytics
    • LinkedIn: www.linkedin.com/company/tiger-analytics
    • Instagram: www.instagram.com/tigeranalytics
    • Address: 3rd Floor Paternoster House, 65 St Paul’s Churchyard, London EC4M 8AB

    10. Peak

    Peak is a UK-based company that develops AI software to support business decision-making. Their platform brings together technical and non-technical teams to work on AI-driven processes that aim to improve commercial outcomes. By embedding AI across departments, they provide tools to assist with planning, forecasting, and operational decisions, often integrating with existing business systems.

    The company offers a central platform where AI applications can be managed and accessed by different teams. While Peak’s core strength is in decision intelligence, their platform also contributes to the delivery of data-driven outputs in front-end systems, such as dashboards and internal tools. These front-end elements allow users to interpret AI-generated insights and apply them in real-time.

    Key Highlights:

    • Focuses on commercial decision-making with AI tools
    • Provides a platform that unites technical and business teams
    • Integrates AI across different business functions
    • Supports digital workflows through AI-driven insights

    Services:

    • AI software for business decision support
    • Cross-functional AI application management
    • Integration with business planning systems
    • Visual output tools for performance and forecasting

    Contact Information:

    • Website: peak.ai
    • Facebook: www.facebook.com/PeakGlobalHQ
    • LinkedIn: www.linkedin.com/company/peak-ai
    • Instagram: www.instagram.com/peak_hq
    • Address: Hyphen 75 Mosley Street Manchester M2 3HR United Kingdom

    11. Sirion

    Sirion provides software for contract lifecycle management (CLM), focusing on enterprise-level clients. Their platform helps businesses handle large volumes of contracts by automating processes and enabling better tracking of contract terms, performance, and compliance. The solution is aimed at helping teams work more efficiently by centralizing contract-related tasks.

    While Sirion’s work is rooted in legal and operational processes, its tools contribute to digital workflows that may include user interfaces for tracking, collaboration, and reporting. These interfaces are part of the front-end experience for legal, procurement, and finance teams using the platform to manage contract data and performance indicators.

    Key Highlights:

    • Specializes in contract lifecycle management for enterprises
    • Provides tools for monitoring and automating contract workflows
    • Focuses on improving transparency and compliance
    • Supports cross-department collaboration through digital tools

    Services:

    • Enterprise contract lifecycle management software
    • Workflow automation for contract handling
    • Digital collaboration tools for legal and business teams
    • Performance and compliance tracking interfaces

    Contact Information:

    • Website: www.sirion.ai
    • Facebook: www.facebook.com/SirionCLM
    • Twitter: x.com/SirionCLM
    • LinkedIn: www.linkedin.com/company/sirionclm
    • Address: 11 Cursitor Street, London, England, EC4A 1LL

    12. Analytics Intelligence

    Analytics Intelligence is a UK-based company that builds AI and analytics software to help organizations access and interpret data more easily. Their tools include conversational AI systems that deliver insights through natural language, making data more accessible for non-technical users. They work across various sectors including finance, telecom, and government, offering platforms that connect multiple data sources.

    Their systems are designed to simplify data analysis through front-end applications that use conversational interfaces. This approach allows users to engage with complex datasets without needing to write code or queries. The company focuses on making analytics available to a wider range of users, particularly through intuitive UI and interaction design.

    Key Highlights:

    • Builds AI tools for accessible data analysis
    • Uses conversational interfaces to simplify insights
    • Works across multiple industries with complex data environments
    • Focuses on ethical AI use and user privacy

    Services:

    • Conversational AI for data insights
    • Data pipeline and interpretation tools
    • AI-based analytics for enterprise users
    • Platform integration with multiple data sources

    Contact Information:

    • Website: analyticsintelligence.com
    • E-mail: info@analyticsintelligence.com
    • Facebook: www.facebook.com/Analyticsintel
    • Twitter: x.com/_AnalyticsIntel
    • LinkedIn: www.linkedin.com/company/analytics-intelligence
    • Instagram: www.instagram.com/analyticsintelligence

    13. Kluster

    Kluster develops forecasting models aimed at improving the accuracy and timing of sales and revenue predictions. Their team includes mathematicians and physicists who design these models to support complex forecasting needs across various industries. Their work involves building analytical tools that often require front-end components to visualize and interact with forecast data for business users.

    In terms of front-end development, Kluster’s solutions typically include dashboards and interfaces that present forecast results clearly and intuitively. These user-facing tools allow teams to monitor pipeline performance and adjust strategies based on the predictive insights provided by the models. The company emphasizes delivering data in accessible formats that help users make timely decisions.

    Key Highlights:

    • Focus on forecasting accuracy and early delivery
    • Uses mathematical and physics-based models
    • Provides tools to visualize sales and revenue forecasts
    • Supports decision-making with clear data interfaces

    Services:

    • Sales and revenue forecasting models
    • Data visualization dashboards
    • Forecast monitoring and reporting tools
    • Analytics for pipeline performance

    Contact Information:

    • Website: www.kluster.com

    14. Graphcore

    Graphcore designs AI hardware and technology that supports the development of advanced machine intelligence. Their products are built to improve computational power and efficiency for AI workloads. While primarily focused on hardware, their technology indirectly supports front-end development by enabling more powerful AI applications that can deliver complex features and user interactions in software products.

    The company’s innovations help developers and companies build AI systems with faster and more efficient processing, which can translate into better user experiences on the front end. This includes applications in data-heavy environments where real-time responsiveness and AI-powered interfaces are important. Graphcore’s work underpins software solutions that require significant computational resources.

    Key Highlights:

    • Develops AI hardware and processing technology
    • Focuses on efficiency and computational power for AI
    • Supports machine intelligence development at scale
    • Enables real-time AI-powered software applications

    Services:

    • AI hardware design and manufacturing
    • Computing platforms for AI workloads
    • Support for AI software development
    • Tools for improving AI efficiency and resilience

    Contact Information:

    • Website: www.graphcore.ai
    • E-mail: info@graphcore.ai
    • Facebook: www.facebook.com/pages/Graphcore
    • Twitter: x.com/graphcoreai
    • LinkedIn: www.linkedin.com/company/graphcore
    • Address: 11-19 Wine Street Bristol BS1 2PH UK
    • Phone: 0117 214 1420

    15. PolyAI

    PolyAI specializes in conversational AI with a focus on voice interactions, especially for call centers. Their systems are designed to create natural and effective voice experiences that improve how businesses communicate with customers. The company’s front-end work involves building user interfaces and voice interaction platforms that integrate with existing call center systems.

    Their solutions help organizations manage customer interactions using AI-powered voice technology. This requires front-end development to ensure smooth communication flow, accurate speech recognition, and user-friendly controls. PolyAI’s background in spoken dialog systems informs their design of responsive and reliable voice interfaces.

    Key Highlights:

    • Focus on voice-first conversational AI for call centers
    • Builds AI systems to manage customer voice interactions
    • Designs voice interaction platforms with natural dialog flow
    • Integrates with existing call center technologies

    Services:

    • Conversational AI development for voice interfaces
    • Voice interaction platform design
    • AI-powered customer service tools
    • Integration with call center systems

    Contact Information:

    • Website: poly.ai
    • E-mail: sales@poly.ai
    • Facebook: www.facebook.com/PolyAIVoice
    • Twitter: x.com/polyaivoice
    • LinkedIn: www.linkedin.com/company/polyai
    • Address: 3 Sheldon Square London W2 6HY United Kingdom

    Conclusion

    The UK continues to be a strong base for companies working in machine learning and analytics. From AI-driven forecasting tools to platforms that support decision-making and automate processes, these companies play a key role in shaping how businesses use data. Their work covers a range of industries and applications, often combining backend technologies with front-end tools that make complex insights accessible to users.

    As demand grows for practical and scalable AI solutions, machine learning analytics companies in the UK are focusing on building systems that integrate smoothly into business environments. Whether through custom development, managed teams, or product platforms, these companies offer flexible approaches to working with data, helping organizations respond to change and make better decisions.

     

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