List of GraphAware Hume Customers
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Since 2010, our global team of researchers has been studying GraphAware Hume 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 GraphAware Hume for Analytics and BI 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 GraphAware Hume for Analytics and BI include: LPL Financial, a United States based Insurance organisation with 8400 employees and revenues of $10.05 billion, Infojobs Spain, a Spain based Media organisation with 447 employees and revenues of $35.0 million, Limbik, a United States based Professional Services organisation with 30 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using GraphAware Hume, 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.
The GraphAware Hume customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Infojobs Spain | Media | 447 | $35M | Spain | GraphAware | GraphAware Hume | Analytics and BI | 2014 | n/a |
In 2014 InfoJobs Spain implemented GraphAware Hume, an Analytics and BI application, to deliver a real-time contact recommendation system for its job marketplace across Spain. The engagement was executed as a rapid consultancy plus Hume deployment, with a three month pilot used to validate recommendation relevance and performance before wider rollout. The deployment prioritized low latency inference and delivered recommendations under 100 milliseconds at scale to surface relevant professional contacts for job seekers and recruiters.
GraphAware Hume was configured to run graph analytics and real-time recommendation modules, applying relationship traversal, similarity scoring, and live inference to produce contact suggestions directly within the user experience. The implementation instrumented recommendation outputs to drive site engagement and encourage CV updates among users, aligning Analytics and BI capabilities with recruitment and user engagement business functions. Governance followed a pilot then expand model, with operational scope across InfoJobs Spain and a focus on embedding real-time recommendation workflows into existing marketplace interactions.
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Limbik | Professional Services | 30 | $3M | United States | GraphAware | GraphAware Hume | Analytics and BI | 2022 | Graphable |
In 2022, Limbik implemented GraphAware Hume to create an information defense platform focused on misinformation and adversarial content detection in the United States. The deployment targeted Analytics and BI use cases, centering on automated large-scale ingestion, natural language processing, and predictive threat analysis for client monitoring and analysis.
The technical implementation combined GraphAware Hume with Neo4j for graph storage and query execution, using Hume Orchestra/ETL and analytics modules to automate ingestion pipelines and drive graph analytics workflows. GraphAware Hume was configured to perform NLP preprocessing, schema mapping, and feature extraction upstream of graph enrichment to enable downstream predictive models and investigative queries.
Integration scope included a managed ingestion and analytics pipeline feeding Neo4j, with orchestration handled by Hume Orchestra/ETL and analytics components. The solution was delivered with Graphable as the implementation partner, and operational coverage emphasized US-focused monitoring and customer-facing analytics capabilities.
Governance and handoff were structured so the engagement produced a scalable managed pipeline and allowed Limbik to assume ownership and expand the solution for customers. Implementation deliverables emphasized repeatable ETL orchestration, analytics module configuration, and operational procedures for ongoing pipeline management and platform extension.
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LPL Financial | Insurance | 8400 | $10.1B | United States | GraphAware | GraphAware Hume | Analytics and BI | 2017 | n/a |
In 2017, LPL Financial deployed GraphAware Hume to build a Meta-graph as a single source of truth for internal document search and knowledge management, using GraphAware Hume within an Analytics and BI context to improve related document discovery across the U.S. organisation. The deployment concentrated on consolidating document metadata and semantic relationships into a centralized graph model to support search and downstream analytics workloads.
The implementation configured document ingestion and indexing pipelines, entity extraction and graph modeling capabilities, and semantic search and related document discovery modules. GraphAware Hume was used to enable inferred functional capabilities such as document clustering and duplicate document remediation, together with query enrichment and relevance tuning to improve out of the box search results.
Operational coverage was across LPL Financials U.S. organization, focused on internal document search and enterprise knowledge management use cases. The Meta-graph served as a unified knowledge representation to drive downstream workflows, including clustering for content organization and remediation processes for duplicate documents.
Governance centered on using the Meta-graph as the authoritative knowledge layer to steer remediation and content management workflows, with configuration and rollout targeted at search accuracy and discovery use cases. The Hume deployment delivered a reported ~10% uplift in out of the box search accuracy and enabled additional analytics use cases such as document clustering and duplicate document remediation.
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Buyer Intent: Companies Evaluating GraphAware Hume
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