List of HeavyIQ Customers
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Since 2010, our global team of researchers has been studying HeavyIQ customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased HeavyIQ for Natural Language Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using HeavyIQ for Natural Language Processing include: Verizon, a United States based Communications organisation with 99400 employees and revenues of $134.79 billion, City Of Glendale, a United States based Government organisation with 2000 employees and revenues of $1.26 billion, Tutela, a Lebanon based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using HeavyIQ, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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City Of Glendale | Government | 2000 | $1.3B | United States | HEAVY.AI (formerly OmniSci) | HeavyIQ | Natural Language Processing | 2024 | n/a |
In 2024 the City Of Glendale implemented HeavyIQ to support vehicle tracking and incident management. The deployment targeted analysis of very large GIS and time-series datasets to improve operational reporting across municipal operations in the United States.
HeavyIQ’s Natural Language Processing capabilities were applied to enable ad hoc query and exploration over high-performance analytical datasets, supporting analysts who investigate sensor time-series and geospatial layers. Configuration prioritized interactive query and visualization workflows to accelerate incident triage and recurring operational reports.
The implementation centralized ingestion of vehicle telemetry and incident feeds so the HeavyIQ environment became the primary analytics layer for vehicle tracking and incident management workflows. Operational coverage included public safety, fleet operations and incident response teams across city departments, with role-aware access to dashboards and query tools.
City reporting indicates HEAVY.AI handled more than 20,000,000 records where previous tools capped at roughly 400,000, demonstrating a substantially larger dataset capacity within the new HeavyIQ deployment. Governance focused on centralized reporting and controlled access for operational dashboards to support ongoing incident management and analytics use cases.
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Tutela | Professional Services | 10 | $1M | Lebanon | HEAVY.AI (formerly OmniSci) | HeavyIQ | Natural Language Processing | 2019 | n/a |
In 2019 Tutela implemented HeavyIQ for Natural Language Processing. Tutela integrated HEAVY.AI's GPU-accelerated analytics engine together with the HeavyImmerse OEM visualization layer to analyze billions of mobile network measurements and deliver interactive telecom reports to customers, reducing time-to-insight from hours or days to seconds. The deployment emphasizes GPU-accelerated query processing and interactive visualization to support high-cardinality mobile telemetry and real-time exploration of measurement datasets.
HeavyIQ usage is inferred to include natural-language querying and conversational analytics capabilities, enabling analysts and client-facing teams to pose ad hoc questions in natural language and surface interactive reports. Operational scope covers Tutela's telecom measurement analytics and customer reporting functions, with the platform embedded into analyst workflows and client deliverables. Governance and process adaptation centered on standardized dataset curation and query templates to drive consistent conversational reporting across engagements.
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Verizon | Communications | 99400 | $134.8B | United States | HEAVY.AI (formerly OmniSci) | HeavyIQ | Natural Language Processing | 2015 | n/a |
In 2015, Verizon adopted the HEAVY.AI platform for telecom operational analytics in the United States. Use of HeavyIQ, HEAVY.AI's conversational Natural Language Processing feature, is inferred from Verizon's adoption of the HEAVY.AI platform and the vendor's rollout of conversational analytics, the source does not explicitly document a HeavyIQ deployment.
HEAVY.AI is employed to accelerate operational analytics workloads, enabling monitoring of network reliability and informing network investment decisions while reducing report generation from minutes to seconds. Where HeavyIQ is present it would provide a conversational analytics layer for Natural Language Processing driven queries, supporting ad hoc interrogation of large telemetry datasets and faster report construction.
The deployment scope is focused on operational analytics workflows within Verizon's network operations and planning organizations across the United States. Governance and detailed rollout processes are not specified in the source, the implementation centers on decision support for reliability engineering and network investment planning.
The explicit outcome reported is acceleration of reporting from minutes to seconds, improving the pace of troubleshooting and investment analysis. No explicit cost, risk, or confirmed HeavyIQ rollout details are provided by the source, the HeavyIQ usage is an inferred extension of Verizon's HEAVY.AI platform adoption.
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