AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of HeavyML Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Entel Communications 12132 $2.9B Chile HEAVY.AI (formerly OmniSci) Legacy HeavyML ML and Data Science Platforms 2023 n/a
S&P Global Banking and Financial Services 42350 $14.2B United States HEAVY.AI (formerly OmniSci) Legacy HeavyML ML and Data Science Platforms 2023 n/a
Verizon Communications 99400 $134.8B United States HEAVY.AI (formerly OmniSci) Legacy HeavyML ML and Data Science Platforms 2023 n/a
Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating HeavyML

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FAQ - APPS RUN THE WORLD HeavyML Coverage

HeavyML is a ML and Data Science Platforms solution from HEAVY.AI (formerly OmniSci).

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

Organizations such as Verizon, S&P Global and Entel are recorded users of HeavyML for ML and Data Science Platforms.

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

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

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

Customers of HeavyML 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 HeavyML 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.