AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Quantemplate Machine Learning Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Aegon Insurance 15700 $32.5B Netherlands Quantemplate Legacy Quantemplate Machine Learning ML and Data Science Platforms 2019 n/a
RenaissanceRe Insurance 945 $11.7B Bermuda Quantemplate Legacy Quantemplate Machine Learning ML and Data Science Platforms 2019 n/a
Sagesure Insurance 1500 $250M United States Quantemplate Legacy Quantemplate Machine Learning ML and Data Science Platforms 2019 n/a
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Buyer Intent: Companies Evaluating Quantemplate Machine Learning

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FAQ - APPS RUN THE WORLD Quantemplate Machine Learning Coverage

Quantemplate Machine Learning is a ML and Data Science Platforms solution from Quantemplate.

Companies worldwide use Quantemplate Machine Learning, from small firms to large enterprises across 21+ industries.

Organizations such as Aegon, RenaissanceRe and Sagesure are recorded users of Quantemplate Machine Learning for ML and Data Science Platforms.

Companies using Quantemplate Machine Learning are most concentrated in Insurance, with adoption spanning over 21 industries.

Companies using Quantemplate Machine Learning are most concentrated in Netherlands, Bermuda and United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Quantemplate Machine Learning across Americas, EMEA, and APAC.

Companies using Quantemplate Machine Learning range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Quantemplate Machine Learning 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 Quantemplate Machine Learning customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.