Top Deep Learning Companies in United Kingdom (UK)


6 Companies

Quytech is a trusted Mobile app, AI/ML, Blockchain and Game development company with over 10 years of experience that help startups to take their first step in the right direction. We leverage the latest technology to shape your mobile app idea into reality. Our developed applications are appreciated for highly interactive UI/UX, impeccable design, and flawless functionalities that help startups to deliver an unmatched experience to your targeted audience.

  • dollar

    <$25/hr

  • user

    50 to 249

  • calender

    2010

  • location

    United Kingdom (UK)

Rootquotient is a leading product engineering company with a global presence across Canada, the UK, and India. With a strong focus on custom software development, Rootquotient has gained recognition for its exceptional product engineering and management capabilities. The company caters to diverse industries, including Healthcare, Education, Retail, Fintech, Non-profit, & Energy, by designing and building bespoke software products. They take pride in being a ‘Zero-to-One’ company, approaching every client’s needs to be unique and developing custom software solutions from scratch. By embracing the latest technology, they empower their clients to become industry leaders and act as their long-term technology partner. Rootquotient's mission revolves around transforming businesses with custom Read More

  • dollar

    $50-99/hr

  • user

    100 to 249

  • calender

    2019

  • location

    United Kingdom (UK)

Systango is a software development studio specialising in niche technologies and helping clients unleash the power of next-gen technologies such as Generative AI, Blockchain, Web3, and Machine Learning. We are a digital transformation partner with leading digital, cloud-native, and security capabilities to help you build a better version of your business. Company facts: * ​100+ active client accounts * 500+ end-to-end projects delivered​​ * In business since 2007 * 350+ employees * ISO 27001:2013 Certified * Headquartered in London, UK with offices in Virginia (USA), Indore (India). * Top Clients - Porsche, MGM Grand, Deloitte, Grindr, Tawk.to, Target. We believe in automation, apps that are fast, efficient, attractive, and easy-to-use to unlock the next stage of digitalisation for tradiRead More

  • dollar

    $25-49/hr

  • user

    250 to 499

  • calender

    2007

  • location

    United Kingdom (UK)

At Aptagon Technologies, we firmly believe in harnessing the power of innovative technologies to deliver unparalleled services to our clients. As a leading software agency, we are at the forefront of transforming the digital landscape. Established in 2020, Aptagon Technologies has swiftly risen from a humble start-up to a reputable company with a global presence. With offices in Pakistan, the United Kingdom, and the United States, we have earned the trust of a diverse clientele spanning across the globe. Our Vision: Our vision is centered around making people's lives easier by providing them with digital solutions that address their challenges. We are dedicated to transforming your ideas into tangible digital products.

  • dollar

    $25-49/hr

  • user

    10 to 49

  • calender

    2020

  • location

    United Kingdom (UK)

The best website for Side Hustles With AI

  • dollar

    <$25/hr

  • user

    1 to 9

  • calender

    2024

  • location

    United Kingdom (UK)

Our Milton Keynes marketing agency are a team of digital marketing experts, specialising in SEO, PPC, Website Design and Affiliate Marketing. We also are experts with UK TV media buying and planning, having managed over 100 TV advertising and sponsorship campaigns for clients in the UK over the years. Our SEO agency experience goes back over 20 years with lots of case studies for our SEO consultancy work on our site. Our PPC agency expertise goes back almost 20 years with our experts being adept managing PPC platforms like Google Ads, Facebook and Microsoft Ads. Our company owner built his first website in the late 1990s and has delivered 100+ websites successfully, designing and building them from scratch for businesses in the UK and beyond.

  • dollar

    $25-49/hr

  • user

    2 to 9

  • calender

    2024

  • location

    United Kingdom (UK)

Frequently Asked Questions

Deep Learning is a subset of Artificial Intelligence that uses neural networks with multiple layers to learn from large amounts of data. It's particularly effective for tasks like image and speech recognition.

Deep Learning can automatically discover the features to be used for classification, while traditional Machine Learning requires manual feature engineering. Deep Learning also generally performs better with large amounts of data.

Deep Learning is used in various business applications, including customer service chatbots, fraud detection, personalized recommendations, and predictive maintenance in manufacturing.

Deep Learning typically requires large amounts of labeled data. The type of data depends on the project, but it can include images, text, audio, or numerical data.

The implementation time can vary greatly depending on the complexity of the problem, the amount of data available, and the expertise of the team. It can range from a few weeks to several months.

Some drawbacks include the need for large amounts of data, high computational requirements, the "black box" nature of decision-making, and potential biases in the training data.

Deep Learning often outperforms other AI techniques in tasks involving unstructured data like images or text, especially when large datasets are available. However, for simpler tasks or with limited data, traditional machine learning methods may be more suitable.

Deep Learning often requires powerful GPUs or specialized hardware, substantial storage for large datasets, and robust cloud computing resources. The specific needs depend on the scale and complexity of the project.

Businesses should focus on data privacy, model transparency, regular bias checks, and establishing clear guidelines for the use and deployment of Deep Learning systems. It's also important to have human oversight and intervention mechanisms.

A successful Deep Learning team typically needs data scientists, machine learning engineers, software developers, domain experts, and data engineers. Skills in Python, neural network architectures, and big data technologies are often required.