AI Buyer Insights:

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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

List of Phrase TMS Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Inbank Estonia Banking and Financial Services 370 $78M Estonia Phrase Legacy Phrase TMS Natural Language Processing 2025 n/a
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Buyer Intent: Companies Evaluating Phrase TMS

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FAQ - APPS RUN THE WORLD Phrase TMS Coverage

Phrase TMS is a Natural Language Processing solution from Phrase.

Companies worldwide use Phrase TMS, from small firms to large enterprises across 21+ industries.

Organizations such as Inbank Estonia are recorded users of Phrase TMS for Natural Language Processing.

Companies using Phrase TMS are most concentrated in Banking and Financial Services, with adoption spanning over 21 industries.

Companies using Phrase TMS are most concentrated in Estonia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Phrase TMS across Americas, EMEA, and APAC.

Companies using Phrase TMS range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 100%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.

Customers of Phrase TMS include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Phrase TMS customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.