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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Hyland Enterprise Search Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Fiserv Professional Services 38000 $20.5B United States Hyland Hyland Enterprise Search Natural Language Processing 2019 n/a
In 2019 Fiserv implemented Hyland Enterprise Search, classified under Natural Language Processing, to extend the Hyland ECM product OnBase within its Banking industry initiatives. The implementation positioned Hyland Enterprise Search to support search driven access to document repositories and to surface content for product innovation tied to banking workflows. The deployment used OnBase functional modules including Workflow, Work View, eForms, Unity Forms, documents ingestion tools, and OCR engines. Hyland Enterprise Search was configured to index ingested content and extracted text from OCR engines, enabling contextual retrieval across case records and form driven processes while supporting workflow automation and eForms processing for loan related documentation. Integrations were constructed to connect Hyland Enterprise Search and OnBase to third party Loan Origination Systems using APIs or .NET technology via web services, as well as through direct database interfaces and file transfer protocols for batch ingest. The architecture emphasized a service layer integration pattern, with document ingestion pipelines feeding the search index and web service endpoints exposing search and retrieval capabilities to downstream applications. Operational coverage focused on banking business functions including loan origination and servicing, document management, and product development teams innovating on OnBase based offerings. Governance centered on centralized configuration control of workflows and form templates within OnBase, and controlled integration points for LoS connections to ensure consistent indexing and document handling across the Hyland Enterprise Search deployment.
Old National Bank Banking and Financial Services 4021 $1.7B United States Hyland Hyland Enterprise Search Natural Language Processing 2019 n/a
In 2019 Old National Bank implemented Hyland Enterprise Search as a Natural Language Processing application to moderate and index content across its Hyland OnBase Nautilus ECM system and the company SharePoint environment. Hyland Enterprise Search is positioned to provide enterprise search and natural language query capabilities across structured and unstructured content sources within the bank. The implementation focused on indexing, content ingestion, and natural language query parsing, with configuration work on connectors into Hyland OnBase Nautilus and SharePoint. Functional capabilities implemented included content indexing, search relevance tuning, metadata and taxonomy alignment, and security trimmed search to respect existing access controls. Operationally the effort provided support for Enterprise Applications and the company SharePoint environment, with moderation routines established for the Hyland OnBase Nautilus ECM system. Governance activities centered on index curation, taxonomy alignment, and mapping search access to existing SharePoint and enterprise application permissions, enabling centralized discovery workflows for records management and information governance teams.
Rochester Institute of Technology Education 4000 $1.0B United States Hyland Hyland Enterprise Search Natural Language Processing 2019 n/a
In 2019, Rochester Institute of Technology implemented Hyland Enterprise Search, a Natural Language Processing application, to improve discovery across institutional content. The initiative followed an enterprise assessment that identified the existing OnBase enterprise content management deployment as a critical repository for sharing information and improving processes, and leadership for the program included Associate CIO David Hostetter and Senior Associate Registrar Doug Hausner. Hyland Enterprise Search was configured to index OnBase repositories and other institutional document stores, expose document text and metadata to natural language query parsing, and provide relevance tuning and faceted filtering to support operational workflows. The implementation emphasized enterprise search capabilities common to Natural Language Processing solutions, including text extraction, metadata-driven indexing, and query interpretation for conversational search. Operational coverage focused on administrative and student records domains, with direct impact on registrar operations, records management, and IT content services. The deployment used the ECM assessment to define scope and prioritized catalogues for phased indexing, aligning search access with existing role-based permissions and records governance. Governance and rollout followed the ECM roadmap produced by the assessment, establishing taxonomy standards, access control policies, and a phased adoption plan overseen by the Associate CIO and the Senior Associate Registrar. Training for records stewards and administrative users supplemented configuration work to ensure consistent metadata application and search relevancy tuning.
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Buyer Intent: Companies Evaluating Hyland Enterprise Search

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Hyland Enterprise Search. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Hyland Enterprise Search for Natural Language Processing include:

  1. GoNet USA, a United States based Professional Services organization with 30 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

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FAQ - APPS RUN THE WORLD Hyland Enterprise Search Coverage

Hyland Enterprise Search is a Natural Language Processing solution from Hyland.

Companies worldwide use Hyland Enterprise Search, from small firms to large enterprises across 21+ industries.

Organizations such as Fiserv, Old National Bank and Rochester Institute of Technology are recorded users of Hyland Enterprise Search for Natural Language Processing.

Companies using Hyland Enterprise Search are most concentrated in Professional Services, Banking and Financial Services and Education, with adoption spanning over 21 industries.

Companies using Hyland Enterprise Search are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Hyland Enterprise Search across Americas, EMEA, and APAC.

Companies using Hyland Enterprise Search range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 33.33%.

Customers of Hyland Enterprise Search include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Hyland Enterprise Search customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Natural Language Processing.