List of Luminal Customers
San Diego, 92128, CA,
United States
Since 2010, our global team of researchers has been studying Luminal 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 Luminal for Cognitive Computing 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 Luminal for Cognitive Computing include: Yale University, a United States based Education organisation with 14800 employees and revenues of $4.20 billion, DeepSeek, a China based Professional Services organisation with 160 employees and revenues of $16.0 million and many others.
Contact us if you need a completed and verified list of companies using Luminal, 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 Luminal 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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DeepSeek | Professional Services | 160 | $16M | China | Luminal | Luminal | Cognitive Computing | 2025 | n/a |
In 2025, DeepSeek integrated Luminal to run high-throughput document OCR inference by connecting its DeepSeek-OCR model to Luminal Cloud, using Luminal as the Cognitive Computing application for document processing workloads. The public demo on Luminal's site shows DeepSeek-OCR running on Luminal Cloud and demonstrates production-scale OCR throughput and lower inference cost.
The implementation leveraged Luminal Cloud deployment patterns and explicitly used model compilation and serverless inference endpoints, consistent with the modules presented on the vendor demo page. DeepSeek compiled its DeepSeek-OCR model for the Luminal runtime and instantiated serverless inference endpoints to handle high-volume inference, reflecting a compiled model artifact and ephemeral endpoint architecture.
Operational scope centered on document ingestion, model inference orchestration, and inference serving, impacting engineering, data science, and operations teams responsible for OCR pipelines. Governance and operational practices inferred from the implementation include model compilation workflows, endpoint provisioning and lifecycle management, and orchestration of inference endpoints for production OCR workloads, all aligned with Cognitive Computing deployment norms on Luminal Cloud.
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Yale University | Education | 14800 | $4.2B | United States | Luminal | Luminal | Cognitive Computing | 2025 | n/a |
In 2025, Yale University implemented Luminal to accelerate AI research model inference. Luminal is a Cognitive Computing application deployed to reduce inference latency and compute costs for research workloads, and Y Combinator launch materials state Luminal is powering research at Yale in the United States.
The implementation emphasized two core functional modules, model compilation and serverless inference endpoints, with Luminal compiling research models into optimized runtimes and exposing ephemeral inference endpoints for on-demand experiments. The deployment architecture centers on compiled model artifacts and on-demand inference services orchestrated to support short-lived research experiments and continuous model evaluation workloads.
Operational coverage is focused on university research functions, including faculty labs and graduate research groups running model experiments across Yale University. Governance and process changes concentrated on model versioning, experiment reproducibility, and researcher access control to ensure inference usage aligns with institutional research policies and oversight.
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Buyer Intent: Companies Evaluating Luminal
Discover Software Buyers actively Evaluating Enterprise Applications
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