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StructureFlow secures $6 million for AI-driven expansion

Fri, 31st May 2024

StructureFlow, a London-based corporate visualization platform, has announced the successful closing of a USD $6 million Series A funding round. The financing aims to leverage artificial intelligence to accelerate product development and expand the company's global presence to cater to rising international demand. This recent round brings StructureFlow's total funding to USD $15 million, with investments from Fintop Capital and Venrex, a part of Select Equity Group.

The necessity of visualising corporate structures is paramount for legal and finance professionals navigating intricate corporate relationships. Historically, structure charts have been indispensable tools, from early mappings of J.P. Morgan's structure to the more recent analysis of FTX's complex organisational setup. However, the process of creating these charts has endured as a laborious and time-consuming task, relying on outdated, analogue methods.

Addressing these challenges, StructureFlow was founded by Tim Follett, drawing inspiration from his tenure at the prestigious UK law firm Slaughter and May. The company digitalises the workflow of creating structure charts, going beyond simple diagramming to harness the power of visual work for modern professionals. The platform automates the generation of data-driven structure charts from intricate data sets such as M&A documents and corporate registers, enhanced by generative AI for improved document parsing and relationship understanding.

Currently, StructureFlow is employed by over 50 significant legal and professional services firms around the globe, including Am Law 100 firms such as Baker McKenzie, Bryan Cave Leighton Paisner, and Norton Rose Fulbright, as well as British Magic Circle firms like Slaughter and May, A&O Shearman, and Linklaters.

In terms of product capability, StructureFlow takes a data-centric approach to visualising complex corporate information. The platform incorporates artificial intelligence with flexible drawing tools to process complex information from contracts, datasets, and public records. This allows for the automatic visualisation of content, enabling users to produce data-driven visual models rapidly that can be tailored to specific project needs, such as corporate acquisitions, debt restructuring, or regulatory investigations.

The recent investment round was spearheaded by US-based fintech fund FINTOP Capital, supported by Venrex. Chris Haley, Partner at FINTOP Capital, expressed strong support for StructureFlow's future, highlighting the team's expert knowledge across the legal, SaaS, and legal tech sectors as pivotal in tackling industry complexities. "Change is coming to this industry," Haley stated, emphasizing StructureFlow's readiness to drive that change.

The new funding will be instrumental in StructureFlow's mission to become an indispensable visual layer within the professional services tech stack. By connecting multiple data sources and systems of records into a singular graphical interface, StructureFlow ensures that information remains easily comprehensible. This technological advancement is envisaged to become an essential tool for doing business in the forthcoming decades.

Tim Follett, CEO and founder of StructureFlow, underscored the significance of visual tools in simplifying complex data during his experience as a corporate lawyer. "A picture really is worth a thousand words," Follett remarked. He pointed out the frustrations stemming from the time-consuming process of creating visuals manually and outlined the mission of StructureFlow to make generating visual content straightforward. With the advancement of generative AI, he sees an unparalleled opportunity to transform how professionals communicate intricate information, aiming for speed, efficiency, and reduced stress.

StructureFlow's innovative platform is poised to enhance how business professionals communicate and collaborate around complex business processes. By fostering clarity from complexity, the platform enables users to build data-driven structure charts, step plans, process maps, and timelines effortlessly. This not only results in true efficiency but also in faster and better strategic outcomes for all parties involved.

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