List of Deepset Cloud Customers
Since 2010, our global team of researchers has been studying Deepset Cloud 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 Deepset Cloud for ML and Data Science Platforms 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 Deepset Cloud for ML and Data Science Platforms include: Lufthansa Industry Solutions Germany, a Germany based Professional Services organisation with 2150 employees and revenues of $346.0 million, Ypulse, a United States based Professional Services organisation with 11 employees and revenues of $2.0 million, Credx, a Germany based Banking and Financial Services organisation with 25 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Deepset Cloud, 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 Deepset Cloud 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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Credx | Banking and Financial Services | 25 | $1M | Germany | Deepset Cloud | Deepset Cloud | ML and Data Science Platforms | 2024 | n/a |
In 2024, Credx deployed Deepset Cloud as its ML and Data Science Platforms solution to build a multimodal intelligent document processing assistant for commercial real estate lending due diligence. The implementation targeted automated extraction from large transaction document sets, configured to parse more than 1,000 page bundles and extract over 200 discrete data fields to accelerate screening workflows.
The Deepset Cloud deployment centered on multimodal document ingestion, automated information extraction and normalization, and human in the loop review for quality assurance. Configuration emphasized structured field extraction and entity recognition to produce underwriter ready data, combined with orchestration for batch processing of transaction packages and API ready outputs for downstream workflows.
Operational scope covered Credx credit and underwriting teams within its commercial real estate lending business in Germany, with the system used to support diligence and screening processes. According to the vendor case study, the deployed Deepset Cloud system reduced screening time by approximately 80 percent, saved about 40 percent of analysts hours, achieved roughly 99.5 percent correctness, and enabled a new SaaS licensing revenue stream.
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Lufthansa Industry Solutions Germany | Professional Services | 2150 | $346M | Germany | Deepset Cloud | Deepset Cloud | ML and Data Science Platforms | 2025 | n/a |
In 2025, Lufthansa Industry Solutions Germany implemented Deepset Cloud. The deployment used Deepset Cloud in the ML and Data Science Platforms category to deliver an enterprise-grade, compliant AI knowledge assistant for IT and knowledge management across the EMEA region.
The implementation was executed as a cloud-native Deepset Cloud deployment that emphasized retrieval centered architectures, leveraging retrieval augmented generation workflows and enterprise search capabilities. Configuration focused on semantic vector indexing, retrieval pipelines, and agent orchestration to enable conversational access to internal regulations and corporate knowledge. The full application name Deepset Cloud is used as the operational platform for these capabilities.
Governance and operational controls were built into the assistant to support compliance with internal regulation access, including curated knowledge ingestion, access control alignment for knowledge consumers, and audit logging for traceability. Operational scope explicitly covered IT and knowledge management functions across EMEA, and the assistant was positioned to surface internal regulations and organizational knowledge for those groups using the ML and Data Science Platforms implementation.
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Ypulse | Professional Services | 11 | $2M | United States | Deepset Cloud | Deepset Cloud | ML and Data Science Platforms | 2024 | n/a |
In 2024, YPulse implemented Deepset Cloud to build a retrieval augmented generation and Text2SQL based AI research assistant and an agentic chat product. Deepset Cloud was deployed as an ML and Data Science Platforms solution to surface insights from more than 4,000 documents and Snowflake data for North American and Western European customers.
The implementation combined document ingestion, semantic indexing, vector embeddings and model orchestration using the Deepset Cloud Haystack stack to enable RAG workflows and natural language to SQL translation. The Text2SQL capability translated analyst queries into executable SQL against Snowflake while the RAG pipeline retrieved context from the indexed corpus to ground generated answers. Functional capabilities implemented included document parsing, semantic search, query to SQL translation, and conversational session management for agentic interactions.
Integration with Snowflake provided direct access to structured research datasets while the indexed document corpus supported unstructured insight retrieval, creating a hybrid data plane for research queries. The deployment targeted market research and editorial workflows within YPulse, servicing North American and Western European customer needs. The rollout completed in under four months and used iterative content curation and model tuning cycles to refine response quality.
Per the vendor case study, the solution launched in under four months, delivered a 5x ROI within a year and increased user interactions by approximately 25 percent. YPulse implemented Deepset Cloud as an ML and Data Science Platforms application to operationalize AI driven research workflows for market research and media publishing functions.
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