Our most recent cohort joined Fuse in 2020. Five new LegalTech companies and four new FinTech residents joined Fuse alumni Avvoka, Define, Nivaura and REGnosys.
Help lawyers to automate their expert knowledge by using their no-code building platform to build, manage and sell interactive applications, thus enabling them to digitise and scale their services.
Help founders with many of the processes currently performed by lawyers, such as incorporating companies, drafting agreements, building cap tables and structuring data rooms.
Help clients to automate the review and mark-up of routine legal contracts using AI. By extracting data, lawyers can better understand and harness the information in their contracts.
Help lawyers to model complex legal structures and transactions more easily and visually. It
enables static two dimensional diagrams to become dynamic, data-rich, information maps,
which can be accessed and navigated by multiple stakeholders as part of a transaction.
Help investors, developers, lenders and their professional advisors gain greater visibility into
issues impacting value, liquidity and intended use of a real estate asset or portfolio by
creating a universal risk rating system for property transactions.
Streamline the primary and secondary loan implementation process to make the
syndicated loan market digitally native, thus driving significant operational savings.
Provide a real-time and fully transparent electronic proxy voting solution. The platform
removes the need for manual and often paper-based processing which slows down the
current system and makes it opaque. It also offers a shareholder disclosure platform,
which automates shareholder ID requests in industry compliant formats without the need
for any manual intervention.
Help firms to assess risk faster, speed up their ready to trade process with accuracy and
eliminate redundant or inefficient processes in booking, confirmation, and settlement.
The platform organises data with an end-to-end workflow involving multiple stakeholders.
Help businesses to achieve fast, confidential computing by using cryptography, consensus
algorithms and specialist hardware to achieve end-to-end encryption and tamperproofing
of data at rest, in transit and in use.