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7 OCTOBER | LONDON 2024

SEPTEMBER 12TH - 14TH
The O2, LONDON

CogX Top 100 Tech Thought Leaders

Technology is changing our world in remarkable ways. The CogX Top 100 Tech Thought Leaders list celebrates the people steering these changes across technologies. The leaders profiled include industry experts, journalists, editors, investors, podcasters, commentators and politicians. The common thread is that they all have a deep understanding of technology’s impact, and share it with the world.

 

From Yuval Noah Harari’s illuminating writing on how to harness the power of technology, to Nina Schick’s pioneering work on generative AI, these thought leaders are both pioneers in their fields and the guiding voices of the digital era. We’re delighted that many of these leaders will be speaking at the CogX Festival this year.

Measurable.energy (est. 2018) aims to eliminate wasted energy in buildings by using smart plug sockets powered by machine learning. These sockets can automatically identify, measure, and reduce devices' energy consumption and carbon emissions. Measurable.energy also provides an online dashboard where users can access reports and insights on their energy use and environmental impact.

Measurable.energy
• Total funding: £5 million
• Last funding: £4 million
• Funding round: Series A (2023)

Colossyan (est. 2020) uses AI to generate videos from text or documents. Users can choose from a variety of AI avatars to present their content in a professional and engaging way.

Colossyan
• Total funding: £5 million
• Last funding: £4 million
• Funding round: Series A (2023)

Truecircle (est. 2021) uses AI and computer vision to improve the efficiency and quality of recycling. By analysing waste streams in real-time, Truecircle can identify and sort different types of recyclable materials, such as plastics, metals, paper, and glass. Truecircle also provides a platform for trading recyclables globally, connecting buyers and sellers in a transparent and convenient way.

Truecircle
• Total funding: £5 million
• Last funding: £5 million
• Funding round: Seed (2022)

Multiomic Health (est. 2021) applies AI and computational systems biology to develop and commercialise data assets for metabolic syndrome, a group of related diseases that affect billions of people and cost trillions of dollars worldwide.

Multiomic Health
• Total funding: £8 million
• Last funding: £5 million
• Funding round: Seed (2023)

Triver (est. 2023) helps small businesses access instant and affordable working capital. It uses open banking data and AI to provide advances on client invoices. Triver partners with fintech and SaaS providers who serve SMEs — such as accounting platforms, digital banks, payment providers, and procurement tools.

Triver
• Total funding: £8 million
• Last funding: £6 million
• Funding round: Seed (2023)

Abound (est. 2020) offers a new way to borrow money. Unlike traditional lenders that only look at your credit score, Abound looks at the full picture of your financial situation. It considers what you earn, how you spend, and what’s left at the end of the month.

Abound
• Total funding: £433 million
• Last funding: £400 million
• Funding round: Venture Round (2023)

Hazy (est. 2017) is a data anonymisation platform that uses AI-generated synthetic data and differential privacy to protect the privacy and security of sensitive data. Hazy helps organisations share and use data without compromising confidentiality.

Hazy
• Total funding: £14 million
• Last funding: £8 million
• Funding round: Series A (2023)

QiO Technologies (est. 2015) uses AI to help industrial companies reduce their greenhouse gas emissions and optimise their asset performance. By gathering data from various sources — such as kilns, furnaces, boilers, compressors, cooling systems and data centre servers — QiO Technologies creates digital twins of assets and applies advanced analytics and AI to generate recommendations.

QiO Technologies
• Total funding: £24 million
• Last funding: £8 million
• Funding round: Series B (2023)

Emitwise (est. 2019) is an AI platform that helps businesses report, measure and reduce carbon emissions across their operations and supply chains. It combines machine learning software with carbon accounting expertise to provide accurate and comprehensive carbon data.

Emitwise
• Total funding: £14 million
• Last funding: £8 million
• Funding round: Series A (2022)

Previse (est. 2016) uses AI to enable corporate buyers to pay suppliers instantly. In doing so, it eliminates the need for suppliers to rely on expensive short-term credit, lowering costs for buyers and giving suppliers the security they need to upscale their business.

Previse
• Total funding: £26 million
• Last funding: £9 million
• Funding round: Series B (2022)

Greyparrot (est. 2019) is a leading AI waste analytics platform for the circular economy. The company is on a mission to digitise the £1.3 trillion waste management industry and tackle the growing waste crisis head-on. It uses computer vision to monitor, analyse and optimise waste streams at material, product and brand level.

Greyparrot
• Total funding: £12 million
• Last funding: £9 million
• Funding round: Series A (2022)

Using advanced cloud and machine learning technologies, Artificial Labs (est. 2013) allows commercial insurers and brokers to access and leverage their data more effectively. This helps them to assess and underwrite risks with greater speed and accuracy.

Artificial Labs
• Total funding: £14 million
• Last funding: £10 million
• Funding round: Series A (2022)

Haiper AI (est. 2021) enables users to create and deploy AI models without coding. It uses natural language processing and computer vision to understand the user’s intent and generate the best model for their needs. Haiper AI also provides a marketplace where users can share, sell, or buy AI models from other creators.

Haiper AI
• Total funding: £16 million
• Last funding: £12 million
• Funding round: Seed (2023)

FintechOS (est. 2017) enables the development of new financial instruments and technologies for companies without disrupting their core systems. Businesses can use the platform to create and offer personalised financial products and services, such as accounts, deposits, loans, mortgages, and more.

fintechOS
• Total funding: £66 million
• Last funding: £12 million
• Funding round: Series B (2022)

Better Origin (est. 2019) is a mission-driven startup that aims to fix the broken food chain by using insects to upcycle food waste into high-value animal feed and pet food. By deploying AI-powered insect farms inside shipping containers, Better Origin makes insect farming scalable and accessible to farmers and businesses globally.

Better Origin
• Total funding: £16 million
• Last funding: £13 million
• Funding round: Series A (2022)

Recycleye (est. 2019) uses advanced machine learning, computer vision and robotics to transform waste management. By creating smart solutions for waste sorting and recycling, Recycleye aims to bring transparency, traceability, and efficiency to global waste management.

Recycleye
• Total funding: £19 million
• Last funding: £14 million
• Funding round: Series A (2023)

Flexciton (est. 2016) helps chip makers to optimise their production processes. It uses advanced algorithms to select the best option from trillions of possibilities, while considering the unique characteristics and constraints of each semiconductor fabrication plant.

Flexciton
• Total funding: £19 million
• Last funding: £15 million
• Funding round: Series A (2021)

nPlan (est. 2017) uses AI to forecast project outcomes, create future scenarios and mitigate risk across projects and portfolios. nPlan’s technology is based on a patented process that involves using AI to model project outcomes based on large volumes of historical data.

nPlan
• Total funding: £18 million
• Last funding: £15 million
• Funding round: Series A (2020)

Dexory (est. 2015) is a research organisation that uses autonomous robots and AI to scan and analyse inventory in warehouses. The company helps businesses improve their logistics operations' visibility, accuracy, efficiency, and performance.

Dexory
• Total funding: £16 million
• Last funding: £16 million
• Funding round: Series A (2023)

CHARM Therapeutics (est. 2021) is a research organisation that aims to discover and develop novel medicines for diseases with unmet medical needs. It uses a revolutionary technology called DragonFold, which uses 3-D deep learning to inhibit challenging proteins, such as those that cause cancer.

CHARM Therapeutics
• Total funding: £67 million
• Last funding: £16 million
• Funding round: Early VC (2023)

Seldon (est. 2014) specialises in machine learning operations (MLOps). Seldon is trusted by the world’s leading MLOps teams, working with big names like Capital One and Rakuten. The company is also a primary maintainer and contributor to a number of popular open-source repositories, such as Seldon Core.

Seldon
• Total funding: £27 million
• Last funding: £16 million
• Funding round: Series B (2023)

Unlikely AI (est. 2018) works on creating artificial intelligence that is more powerful, trustworthy, and beneficial to humanity. It is developing products that do things that were previously considered impossible for computers, such as natural language understanding, question-answering, and creative storytelling.

UnlikelyAI
• Total funding: £174 million
• Last funding: £27 million
• Funding round: Series A (2022)

ComplyAdvantage (est.
2014) provides software solutions that help detect and manage risks associated with money laundering and financial crime. It uses AI, machine learning and natural language processing to help regulated organisations comply with legal obligations and prevent financial harm.

ComplyAdvantage
• Total funding: £87million
• Last funding: £16 million
• Funding round: Series A (2021)

9fin (est. 2016) uses AI to provide data and analytics for the debt capital markets. It helps its subscribers analyse credits, win mandates, and stay ahead of the market. 9fin collects and processes information from various sources, including news, financial statements, covenants, comparables, deal predictions, and ESG data.

9fin
• Total funding: £28 million
• Last funding: £18 million
• Funding round: Series A (2022)

AutogenAI (est. 2022) is a language technology solution that helps organisations write high-quality draft bids, proposals, and tenders in minutes, rather than days. It uses cutting-edge natural language processing to generate bespoke content that reflects the organisation’s voice, culture and corporate knowledge. AutogenAI is among the first businesses to recruit prompt engineers, who are specialists in creating and optimising language models.

AutogenAI
• Total funding: £18 million
• Last funding: £18 million
• Funding round: Series A (2023)

Huma (est. 2011) is a digital health platform that aims to improve the quality and longevity of human lives. It enables remote monitoring of patients, decentralised clinical trials, and companion apps for various health challenges. It uses advanced algorithms, digital biomarkers, and real world data to provide proactive and personalised care and research.

Huma
• Total funding: £174 million
• Last funding: £27 million
• Funding round: Late VC (2022)

Ultromics (est. 2017) develops innovative solutions for heart disease detection by using AI to analyse echocardiography images and provide diagnostic insights. The company has created a platform called EchoGo, which aims to diagnose different types of heart failure at an early stage.

Ultromics
• Total funding: £48 million
• Last funding: £27 million
• Funding round: Series B (2021)

PolyAI (est. 2017) creates customer-led voice assistants for various industries. Their voice assistants can understand and respond to natural language in any circumstance and language by using contextual awareness and proactive dialogue management. They can also collect and validate information from customers, resolve their enquiries, and provide insights and opportunities for businesses.

PolyAI
• Total funding: £55 million
• Last funding: £32 million
• Funding round: Series B (2022)

Gensyn (est. 2020) is the company behind the Gensyn Network, a protocol that aims to revolutionise the field of machine learning with a decentralised supercluster network of computing devices that can train deep learning models. By connecting all kinds of hardware, such as GPUs, CPUs, and custom chips, Gensyn enables anyone to access the power of a global computer network.

Gensyn
• Total funding: £41 million
• Last funding: £35 million
• Funding round: Series A (2023)

CausaLens (est. 2017) develops AI systems capable of understanding the complex cause-and-effect relationships of our world, such as the economy, the environment, and the human body. The company aims to help its users make better decisions and predict future outcomes.

CausaLens
• Total funding: £41 million
• Last funding: £36 million
• Funding round: Series A (2022)

Streetbees (est. 2015) is a consumer intelligence platform that captures real life moments from people around the world. It uses artificial intelligence to analyse data and provide insights for businesses. Streetbees pays its users — called "bees" — to answer questions about their daily activities, preferences, and opinions. In doing so, Streetbees aims to understand human behaviour and decision-making in a natural and authentic way.

Streetbees
• Total funding: £51 million
• Last funding: £38 million
• Funding round: Series B (2020)

Beamery (est. 2012) provides an AI-powered talent platform for organisations to manage their employees. The platform helps companies hire candidates faster, develop their workforce's skills, and increase employee retention.

Beamery
• Total funding: £179 million
• Last funding: £40 million
• Funding round: Series D (2022)

Signal AI (est. 2013) provides external intelligence to help businesses make sense of what is happening in the outside world. The company uses AI to analyse and interpret data from various sources in real-time, and deliver insights and recommendations to its clients.

Signal AI
• Total funding: £81 million
• Last funding: £40 million
• Funding round: Series D (2021)

Partnerize (est.2010) helps brands and affiliates build profitable partnerships through automation and data-driven insights. By using its platform, marketers can manage, optimise, and scale their partnership programs across different channels and devices.

Partnerize
• Total funding: £71 million
• Last funding: £40 million
• Funding round: Series B (2023)

Healx (est. 2014) harnesses the power of AI to find new treatments for rare diseases. It collaborates with patients, researchers, and clinicians to identify the most promising drug candidates for each disease. It also uses technology to lower the risk and cost of drug development, and to accelerate the delivery of new therapies to market.

Healx
• Total funding: £55 million
• Last funding: £45 million
• Funding round: Series B (2019)

Sylvera (est. 2020) provides carbon credit ratings and analytics to help buyers assess the quality and impact of carbon offsetting projects. The company uses machine learning technology to analyse visual data like satellite imagery and lida. It uses its findings to verify the claims of carbon projects and assign them ratings based on rigorous frameworks.

Sylvera
• Total funding: £78 million
• Last funding: £46 million
• Funding round: Series B (2023)

Causaly (est. 2018) uses artificial intelligence to analyse millions of scientific documents and extract causal relationships to make new predictions in biomechanical science. It helps biomedical researchers, clinicians, and decision-makers to discover new insights, generate hypotheses, and find evidence for their queries.

Causaly
• Total funding: £67 million
• Last funding: £48 million
• Funding round: Series B (2023)

Lifebit (est. 2017) provides software solutions for biomedical data analysis and management. It enables organisations to access and use sensitive genomic and biomedical data in a secure and ethical way without compromising privacy or quality. Lifebit’s platform, called Lifebit CloudOS, is the world’s first federated trusted research environment, which provides a secure, efficient, and ethical platform for collaborative data analysis without compromising data privacy or quality.

Lifebit
• Total funding: £57million
• Last funding: £48 million
• Funding round: Series B (2021)

Peak (est. 2014) provides an AI platform for businesses to build, run, and manage their own AI applications. It aims to help businesses optimise their decisions and outcomes across various domains, such as customers, inventory, and pricing. The company offers a suite of pre-built but customizable applications that can integrate with existing systems and data sources.

Peak.ai
• Total funding: £94 million
• Last funding: £60million
• Funding round: Series C (2021)

Infogrid (est. 2018) uses AI to make buildings smarter and more sustainable. It combines low-cost and unobtrusive IoT sensors with AI algorithms to optimize and automate building management. Infogrid can help organisations monitor and control various aspects of their buildings, such as temperature, humidity, air quality, occupancy, energy consumption, and more.

Infogrid
• Total funding: £85 million
• Last funding: £72 million
• Funding round: Series B (2023)

Builder.ai (est. 2023) offers an AI-powered platform for building and operating software projects without technical expertise or coding. The company has over 900 employees and was recognised by Fast Company as one of the top 3 Most Innovative Companies in AI in 2023

Builder.ai
• Total funding: £356 million
• Last funding: £200 million
• Funding round: Series D (2023)

Graphcore (est. 2012) develops specialised microprocessors for AI and machine learning applications. It's building a super-fast Intelligence Processing Unit (IPU) that can hold entire machine learning models in its memory. Graphcore was launched by chip entrepreneurs Simon Knowles and Nigel Toon and achieved unicorn status in 2020.

Graphcore
• Total funding: £546 million
• Last funding: £178 million
• Funding round: Series E (2020)

Lendable (est. 2014) is a UK-based consumer lending platform that uses AI to make borrowing money easy and fast. It connects borrowers directly with investors without banks acting as intermediaries. It offers personalised rates, instant decisions, and quick fund transfers.

Lendable
• Total funding: £1.28 bn
• Last funding: £178 million
• Funding round: Growth Equity VC (2023)

Wayve (est. 2017) aims to develop autonomous driving technology using deep learning and artificial intelligence. Wayve claims to have a different approach from other self-driving companies, as it relies on end-to-end deep learning and computer vision to teach cars how to drive themselves with minimal human intervention.

Wayve
• Total funding: £207 million
• Last funding: £160 million
• Funding round: Series B (2022)

Stability (est. 2019) aims to make modern AI accessible and inspire creativity and innovation. As one of the world’s leading open-source generative AI companies, it offers cutting-edge AI models across various domains, such as image, language, audio, video, 3-D content and more. One of its flagship products is Stable Diffusion, a text-to-image suite of models that can turn natural language prompts into realistic and descriptive images.

Stability.ai
• Total funding: £99 million
• Last funding: £81 million
• Funding round: Series A (2023)

Thought Machine (est. 2014) creates cutting-edge technology for the banking industry. Its flagship product is Vault, a cloud-native platform that enables banks to design and run any financial product they can imagine using smart contracts.

Thought Machine
• Total funding: £450 million
• Last funding: £128 million
• Funding round: Series D (2022)

Quantexa (est. 2016) provides a platform for decision intelligence, which helps organizations to make better decisions based on trusted data and context. Quantexa’s platform can unify data from various sources, create a single view of customers, counterparties and citizens, and apply artificial intelligence to automate and augment decision-making. Quantexa’s solutions can be used for various purposes, such as data management, customer intelligence, risk management, fraud and security.

Quantexa
• Total funding: £296 million
• Last funding: £104 million
• Funding round: Series E (2023)

ContractPod (est. 2012) is legal platform powered by AI. It helps in-house legal teams to manage contracts, legal requests, and other legal scenarios more efficiently and effectively. ContractPod offers a comprehensive solution that covers the entire contract lifecycle, from creation to execution to analysis.

ContractPod
• Total funding: £136 million
• Last funding: £92 million
• Funding round: Series C (2021)

Onfido (est. 2010) is a leading provider of digital identity verification for businesses and individuals worldwide. Using AI, Onfido can verify the authenticity of identity documents, biometrics, and personal data from various sources in seconds. The company aims to make identity verification simple, secure, and accessible.

Onfido
• Total funding: £169 million
• Last funding: £80 million
• Funding round: Series D
• Location: London

Synthesia (est. 2017) is an AI video generation platform that allows users to create realistic videos from text input. Users can enter any text and select an AI avatar to deliver the message in a natural, engaging way. Users can also enhance their videos with various customisation features, such as adding their own images, videos, music and fonts.

Synthesia
• Total funding: £125 million
• Last funding: £72 million
• Funding round: Series C (2023)
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