List of Haystack Customers
Since 2010, our global team of researchers has been studying Haystack 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 Haystack for AI Frameworks and Libraries 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 Haystack for AI Frameworks and Libraries include: Airbus, a France based Aerospace and Defense organisation with 56000 employees and revenues of $33.95 billion, Telus, a Canada based Communications organisation with 106800 employees and revenues of $14.47 billion, Lufthansa Industry Solutions, a Germany based Professional Services organisation with 1279 employees and revenues of $195.0 million and many others.
Contact us if you need a completed and verified list of companies using Haystack, 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 Haystack 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 | Insight Source |
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Airbus | Aerospace and Defense | 56000 | $34.0B | France | Deepset Cloud | Haystack | AI Frameworks and Libraries | 2022 | n/a | In 2022 Airbus implemented Haystack to build a combined table and text question answering system for Flight Crew Operating Manuals. Haystack is an AI Frameworks and Libraries solution used by Airbus’ AI research unit to prototype an information retrieval capability for pilots and maintenance staff. The implementation relied on Haystack retriever reader pipelines and table QA components to ingest and query large manuals and embedded tables, with pipeline orchestration focused on fast retrieval and answer synthesis. The deployment architecture emphasized modular retriever and reader stages, table aware parsing, and query routing to table QA components to handle structured and unstructured content within the same workflow. Airbus positioned Haystack to support operations and training business functions across Europe, moving the work from research into a pilot phase with end user validation by flight crew and maintenance teams. The research to pilot rollout reported answers returned in under one second and yielded promising operational feedback, informing further refinement of governance and operational processes for question answering workloads. | |
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Lufthansa Industry Solutions | Professional Services | 1279 | $195M | Germany | Deepset Cloud | Haystack | AI Frameworks and Libraries | 2024 | n/a | In 2024, Lufthansa Industry Solutions implemented Haystack to build an enterprise grade, compliant AI knowledge assistant for internal IT and knowledge management. Lufthansa Industry Solutions deployed Haystack as an AI Frameworks and Libraries solution to centralize internal documentation and to provide explainable, source cited answers across the Lufthansa Group in Germany, and the system was moved into production in 2025. The implementation used Haystack based retrieval augmented generation pipelines with RBAC to control access and provenance tracking to deliver source cited responses. Functional capabilities implemented included document ingestion and indexing, retrieval, answer generation with provenance, and observability for query tracing and audit logging. These capabilities were configured to surface explainable results and to anchor answers to explicit document sources. The solution was operated on Deepset Cloud as the vendor platform and focused on enterprise knowledge management workflows for internal IT and knowledge teams. Integrations were centered on centralizing internal documentation sources to feed Haystack based RAG pipelines, with observability and audit trails instrumented across pipelines to support operational monitoring and compliance reviews. Operational scope covered the Lufthansa Group in Germany and targeted enterprise knowledge access patterns rather than customer facing scenarios. Governance emphasized GDPR and ISO27001 aligned controls, role based access control, and audit logging to meet compliance requirements and to enforce access policies across knowledge workflows. The rollout followed compliance validation and operational hardening prior to the move into production in 2025, maintaining traceability of source citations and audit records for enterprise governance. | |
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Telus | Communications | 106800 | $14.5B | Canada | Deepset Cloud | Haystack | AI Frameworks and Libraries | 2025 | n/a | In 2025, TELUS Agriculture & Consumer Goods implemented Haystack from Deepset Cloud as an agentic chatbot solution under the AI Frameworks and Libraries category. The deployment targeted trade promotions and sales operations workflows and was scoped to Canadian operations, enabling conversational access to promotions, spend, and results data. The implementation combined retrieval augmented generation and SQL tool calling within Haystack agents to surface contextual promotion content and query relational store data. Haystack agents were configured as knowledge base bots with agent orchestration, query routing, and prompt management to support conversational workflows around trade promotions. Operational coverage focused on trade promotions, sales operations, and analytics consumers who require promotion, spend, and results visibility. The solution provided conversational access to promotions, spend, and results data through the Haystack knowledge base, linking natural language queries to SQL-backed answers and document retrieval pipelines. Governance included observability instrumentation and explicit SQL safety guardrails to constrain agent tool-calling and protect data access patterns. The knowledge base bot moved into production in October 2025, with operational controls embedded in Haystack agent configurations and monitoring to support continued production use. |
Buyer Intent: Companies Evaluating Haystack
- Shah, Dr Nirmala, a United States based Healthcare organization with 10 Employees
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