Alumni: London

London Alumni

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2016

London

2016 - London

AimBrain is the mobile biometric authentication platform. We help you to know if your users really are who they say they are. The platform currently consists of three modalities – behavioral (ready now), facial and voice (ready in Q1 2016).

2017

London

2017 - London

Akoni is a cash management and optimisation platform for SMEs and Corporates that maximise returns and provides cash projection tools.

2016

London

2016 - London

Albert is a financial technology company aiming to democratize money management by making financial advice accessible and affordable.

2016

London

2016 - London

AlgoDynamix is an innovative risk analytics company that detects disruptive events in global financial markets and anticipates price movements hours or days in advance of the event.

2019

London

2019 - London

Anorak is the world’s first fully automated life insurance advice platform, giving everyone easy access to personalised and regulated advice.

2020

London

2020 - London

Apiax combines exceptional legal & compliance expertise with outstanding technological capabilities. Together, we build a lean yet comprehensive solution to transform complex financial regulations into digital regulatory rules and to manage the full lifecycle of digital regulations.

2020

London

2020 - London

ApTap is a personalised bill and subscription management tool, that allows banking customers to cancel, compare, switch and sign up to services like energy, broadband and phone, all in-app, with just a few taps.

2018

London

2018 - London

AssetVault is a comprehensive protection proposition that allows users to protect assets today, through customised home contents insurance; and tomorrow, through the world’s first fully digital e-will.

2015

London

2015 - London

Atsora aims to provide financial institutions with an ecosystem of services for SMEs called Momentum. Momentum is a platform that allows banks to provide SME clients with cashflow, business model, and sales pipeline tools to help manage and grow the business.

2013

London

2013 - London

2020

London

2020 - London

Bewica helps SMEs be more cyber secure with automated risk management and cyber insurance.

2017

London

2017 - London

Big Data Scoring’s cloud-based Digital Footprint scoring solution specializes in gathering real-time external customer data to significantly improve acceptance rates, credit underwriting, fraud detection, and customer journey.

2020

London

2020 - London

BiTA, a capital markets infrastructure provider, is transforming the indexing industry by allowing institutional customers to construct and run indexes and investment portfolios on software, without relying on expensive index licenses, multiple data vendors, and complex internal tools.

2017

London, Asia Pacific

2017 - London, Asia Pacific

Blocko is a blockchain infrastructure provider in South Korea offering customers digital identity, digital signatures and smart contracts. Its product, Coinstack, enables clients to share data with third parties in a cyber-security safe, efficient manner. Blocko is aiming to work with multinational financial institutions across the globe to fulfill their technical needs with its blockchain technology.

2017

London

2017 - London

Bud links together bank accounts and uses smart analytics to help people optimise their money by acquiring new financial products. A digital bank manager in your pocket.

2020

London

2020 - London

Caura is a payment platform for your car and removes admin from car ownership with our mission being to build tools such that drivers never get a fine again.

2020

London

2020 - London

Cerebreon is the only deep learning technology platform in the UK insolvency market that structures case data and predicts defaults in consumer debt. Creditors and insolvency firms can significantly increase revenue, whilst ensuring the best outcome for their consumers.

2020

London

2020 - London

ChAI uses state-of-the-art AI methods on a large number of alternative (e.g. satellite and maritime) and established data sources to make price predictions on a full cross-section of commodities over time horizons of one day to six months

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