
Re:Infer
Takes the communications streams people receive and turns them into something they can automate a business process against.
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Total Funding | 000k |






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Re:infer operates as a conversational data intelligence company, providing a platform for enterprises to analyze and automate insights from business communications. Founded in 2015 as a spin-out from University College London's AI research lab, the firm was established by a team of PhD scientists including Dr. Ed Challis, Marius Cobzarenco, Cristi Cobzarenco, and David Barber. The founders' academic background in machine learning and AI at UCL formed the scientific foundation for the company's technology, aiming to bridge the gap between human language and machine processing.
The core of Re:infer's business is its Natural Language Processing (NLP) platform, which transforms unstructured communications data—such as emails, chat logs, and customer support tickets—into structured, actionable information. This is achieved through machine learning models that can be custom-trained by business users without requiring coding expertise, allowing for high specificity and flexibility. The platform's self-learning capabilities ensure that the models continuously improve in accuracy over time. By automatically categorizing messages, extracting relevant data, and analyzing sentiment, Re:infer enables businesses to identify process bottlenecks, triage customer requests, and discover opportunities for operational improvements.
The company targets large enterprises across sectors like banking, insurance, and e-commerce, with clients including UBS, Hiscox, and Farfetch. Revenue was generated through a B2B SaaS model, where clients subscribe to the analytics platform. A significant milestone in the company's history was its acquisition by UiPath, a leading enterprise automation software company, on August 1, 2022. This strategic move was designed to integrate Re:infer's NLP capabilities into UiPath's broader automation platform, enhancing its ability to handle unstructured data and expanding automation opportunities for their shared client base. Prior to the acquisition, Re:infer had secured over $7.6 million in funding from investors such as Crane Venture Partners, Seedcamp, and IP Group.
Keywords: conversational data intelligence, natural language processing, NLP, communications mining, unstructured data analysis, enterprise AI, customer experience automation, business process automation, text analytics, email automation, contact center AI, machine learning, sentiment analysis, data extraction, process optimization, no-code AI, UiPath, service automation, operational intelligence, financial services AI