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What we do: research & development in emerging technologies, focussing on disruptive applications of machine learning, cybersecurity, blockchain, and intelligent automation; working with high scale distributed systems. We also offer technology due diligence, IP assessment, advanced prototypes, and scale-up advice - both for private equity and for fast growing startups. Examples of our recent work can be found here.

See our research page for the latest publications; for contact information see here.


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AI Market Growth: Annual global AI software revenue is forecast to grow from $10.1 billion in 2018 to $126.0 billion by 2025, with deep learning based human perception derived from vision and language as a bigger driver for AI in the long run.
-- Tractica, Q4 2019

Blockchain Adoption : Deloitte’s 2018 global survey of more than 1,000 blockchain-aware executives is a strong indicator of where blockchain is headed. While blockchain is not quite ready for primetime, it is getting closer to its breakout moment. Real projects are now emerging in infrastructure, with major players stepping up.
--Deloitte, 2019

AI Market Share: Software led the artificial intelligence market and accounted for more than 39.0% share of the global revenue in 2019.
-- Grand View Research Report, Q2 2020

Cybersecurity Trends: Several experts predict economic espionage will reawaken because of a US-China trade war. More targeted malware hitting more devices than ever from smart home devices to more business functions at work. The cybersecurity skills talent gap gets worse, while cybercriminals compete for dominance.
--GovTech, 2019

AI Deployment: 58% of business say less than 10% of their current organisation’s technology budget goes toward AI, however 71% expect AI investments will increase in the next few years.
-- McKinsey

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Recent R&D work includes: • AI model integrity with blockchain • enterprise identity/multi-party consent, GDPR • applied ML for healthcare • distributed ledger in marine insurance • cloud workflow automation • supply chain integrity • privacy and security in cyber-physical systems • research briefings on federated learning, and bias, ethics and fairness • research on public intrusion datasets • applied deep learning with GANs in cybersecurity

Recent Technology DD work includes: projects in retail, pharma, finance, insurance, heathcare, workflow automation, mobile image scanning, test automation, crypto-exchange, and logistics - many leveraging applied ML.

For further information email here.

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For further details or if you are interested in working with us please contact us using one of the links below:

Email us: here

LinkedIn: here

Web: here