UNiFAi

UNiFAi

Offers a SaaS solution to help hospitality providers to digitalize their hotel.

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DateInvestorsAmountRound
-investor investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
investor

€0.0

round
*

N/A

Acquisition
Total Funding000k

Financials

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Revenues, earnings & profits over time
EUR20192020202120222023
Revenues00000000000000000000
% growth-100 %283 %50 %33 %
EBITDA00000000000000000000
Profit00000000000000000000
EV00000000000000000000
EV / revenue00.0x00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x00.0x
R&D budget00000000000000000000

Source: Company filings or news article, Dealroom estimates

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More about UNiFAi
Made with AI
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Founded in 2017 by Jesse Créange and Pierre de Sahb, UNiFAi is a Paris-based company that has carved a niche in the realm of product data management. The company was established to address the significant challenge of poor data quality, a problem that costs European corporations billions annually and acts as a dealbreaker for a third of online shoppers. UNiFAi was acquired by Akeneo on September 20, 2023.

UNiFAi provides a Software-as-a-Service (SaaS) platform powered by artificial intelligence, designed to automate and streamline the management of product data for retailers and B2B marketplaces. The business model is centered on offering a subscription-based service that helps clients reduce the costs associated with manual data cleaning and improve operational performance. The platform targets business experts and IT teams who are often bogged down by the manual and complex processes of integrating heterogeneous product data from a growing number of suppliers.

The core of UNiFAi's offering is its AI-driven software that automates up to 95% of the data cleaning process. Its features include the ability to import and export product catalogs, automate data processing, and synchronize product data with various enterprise systems like ERP, PIM, and marketplace solutions. The platform's interface allows users to configure rules, correct fields, and extract values to enrich product catalogs, effectively turning a time-consuming manual task into an efficient, automated workflow. This enables business analysts to shift their focus from data cleaning to generating business value. The company has received backing from institutional investors such as Kima Ventures and Takara Capital.

Keywords: product data management, data cleaning, artificial intelligence, SaaS, retail technology, B2B marketplace, data quality, catalog management, data integration, PIM, ERP integration, data automation, e-commerce data, supplier data onboarding, data enrichment, machine learning, data processing, Akeneo

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