AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

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

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of HeavyRender Customers

Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
S&P Global Banking and Financial Services 42350 $14.2B United States HEAVY.AI (formerly OmniSci) HeavyRender Analytics and BI 2021 n/a In 2021, S&P Global implemented HeavyRender from HEAVY.AI to accelerate Analytics and BI for energy and commodity analytics used in the IHS Markit Energy Studio: Impact product across UK and global datasets. The deployment positioned HeavyRender as the server-side visualization layer within the product, delivering instant interactive maps and charts for customer-facing analytics. HeavyRender was configured as a GPU-accelerated server-side rendering engine, leveraging HEAVY.AI spatial query processing to render large geospatial datasets and complex aggregations on demand. Functional capabilities implemented included instant map rendering, charting for multidimensional energy queries, and support for high-throughput spatial filtering and on-demand aggregation consistent with the vendor's server-side visualization approach. Operational coverage centered on the Energy Studio product for IHS Markit customers, serving UK and global energy and commodity use cases and embedding the rendering engine into customer-facing dashboards. The rollout emphasized server-side GPU acceleration to achieve approximately 10x faster map and chart rendering and to enable customers to answer complex energy queries in seconds, outcomes explicitly stated in the announcement.
Simulmedia Professional Services 40 $5M United States HEAVY.AI (formerly OmniSci) HeavyRender Analytics and BI 2016 n/a In 2016, Simulmedia implemented HeavyRender from HEAVY.AI to accelerate advertising analytics and interactive TV viewership reporting in the United States. The HeavyRender deployment served as a focused Analytics and BI initiative to introduce server-side GPU-accelerated visualization and near-zero-latency rendering into reporting workflows. Architecture centered on HEAVY.AI server processes that perform GPU-accelerated query rendering and deliver near-instant visualization responses for interactive dashboards, enabling exploratory workflows at millisecond response times. Configuration emphasized real-time rendering pipelines and pre-rendered visualization outputs to support high cardinality TV viewership queries and interactive slicing of advertising metrics. Operational coverage targeted Simulmedia's advertising analytics and reporting function, powering the VAMOS platform and client-facing dashboards across the United States. Integrations routed rendered visual outputs into the VAMOS platform and client dashboards to enable immediate exploratory analysis for analysts and clients. Documented outcomes included reducing report run times from tens of minutes to milliseconds and enabling real-time exploration for the VAMOS platform and client dashboards. The implementation is described as HeavyRender driven server-side visualization within an Analytics and BI environment, focused on accelerating interactive reporting rather than changes to upstream data collection.
Verizon Communications 99400 $134.8B United States HEAVY.AI (formerly OmniSci) HeavyRender Analytics and BI 2016 n/a In 2016 Verizon deployed HEAVY.AI for telecom network operations and analytics in the United States, implementing HeavyRender capabilities within its Analytics and BI stack to accelerate geospatial visualization and operational reporting. The deployment targeted network operations teams to detect anomalies and produce network reliability reports in seconds, compared with previous 20 plus minute run times. HeavyRender was used to enable GPU accelerated server side visualizations and instantaneous interactive maps, providing zero latency rendering for large scale telemetry and topology datasets. Functional capabilities implemented included interactive geospatial mapping, high throughput query acceleration, anomaly detection workflows and rapid report generation consistent with Analytics and BI use cases. Operational coverage centered on United States network operations and analytics, with downstream impact on incident response and investment planning through faster operational visibility. Governance emphasized embedding visualization driven workflows into network operations reporting, enabling operators and planners to consume near real time dashboards and reliability reports.
Showing 1 to 3 of 3 entries

Buyer Intent: Companies Evaluating HeavyRender

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating HeavyRender. Gain ongoing access to real-time prospects and uncover hidden opportunities.

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
FAQ - APPS RUN THE WORLD HeavyRender Coverage

HeavyRender is a Analytics and BI solution from HEAVY.AI (formerly OmniSci).

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

Organizations such as Verizon, S&P Global and Simulmedia are recorded users of HeavyRender for Analytics and BI.

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

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

Companies using HeavyRender range from small businesses with 0-100 employees - 33.33%, 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 - 66.67%.

Customers of HeavyRender 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 HeavyRender customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.