List of Adeptia Automate Customers
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United States
Since 2010, our global team of researchers has been studying Adeptia Automate 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 Adeptia Automate for Intelligent Document Processing 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 Adeptia Automate for Intelligent Document Processing include: National Institutes of Health, a United States based Government organisation with 18478 employees and revenues of $45.18 billion, Karmak, a United States based Professional Services organisation with 250 employees and revenues of $50.0 million, Centivo, a United States based Healthcare organisation with 300 employees and revenues of $50.0 million and many others.
Contact us if you need a completed and verified list of companies using Adeptia Automate, 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 Adeptia Automate 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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Centivo | Healthcare | 300 | $50M | United States | Adeptia | Adeptia Automate | Intelligent Document Processing | 2020 | n/a | In 2020, Centivo implemented Adeptia Automate to streamline complex healthcare B2B data exchanges including benefits enrollment, claims, and EDI across its United States benefits operations. The deployment used Adeptia Automate and referenced the Apps Category . The implementation centered on AI driven mapping, templated automations, and business user self service onboarding to accelerate connection configuration. Adeptia Automate was configured with reusable mapping templates, connector templates for EDI and B2B file flows, and a visual mapping interface to enable benefits and claims teams to provision partners with minimal IT intervention. The case language also implies the use of intelligent document processing capabilities to handle document centric claims and enrollment artifacts where mapping alone was insufficient. Operational coverage included healthcare and benefits data exchange workflows supporting payer and broker interfaces within the United States, with business functions for enrollment and claims processing identified as primary users. Governance shifted work toward business user driven onboarding and template governance, while integration points focused on EDI and partner data feeds rather than specific upstream systems. The deployment produced faster connection implementation, cited as approximately 80 percent acceleration in onboarding new B2B connections. | |
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Karmak | Professional Services | 250 | $50M | United States | Adeptia | Adeptia Automate | Intelligent Document Processing | 2018 | n/a | In 2018, Karmak deployed Adeptia Automate to automate the processing and exchange of tens of thousands of parts, inventory, and order files daily between dealers and OEMs. Apps Category: Implementation centered on mapping and format transformation to normalize multiple vendor and dealer file formats, with inferred use of mapping modules and intelligent data parsing capabilities to standardize parts, inventory, and order records. The deployment documented more than 200 integrations and large volume throughput, and Adeptia Automate was configured to perform connector based integrations, batch orchestration, and format conversion to support high frequency file interchange. Adeptia Automate was positioned as a central processing hub to reduce manual formatting work and data errors. Operational scope targeted supply chain and operations functions across dealer networks and OEM interfaces in the United States, emphasizing file based interchange and automated routing of parts, inventory, and order files. Governance and workflow changes included standardized mapping templates and centralized processing flows to enforce consistent formatting and reduce exception handling, with role based handoffs between operations and technical teams. The case notes explicitly state the implementation reduced manual formatting and data errors, reflecting configuration and process adjustments tied to Adeptia Automate. | |
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National Institutes of Health | Government | 18478 | $45.2B | United States | Adeptia | Adeptia Automate | Intelligent Document Processing | 2020 | n/a | In 2020, the National Institutes of Health implemented Adeptia Automate to ingest, validate, and transform multi-source clinical and laboratory data as part of the NCATS N3C COVID-19 data effort. Apps Category: The deployment concentrated on ETL and data harmonization into OMOP 5.3 to populate a centralized COVID-19 analytics database for researcher access in the United States. Adeptia Automate was employed for core data ingestion, schema mapping, validation checkpoints, and transformation pipelines that converted disparate source formats into OMOP 5.3 compliant records. The implementation emphasized automated data validation and transformation workflows, including record-level quality checks and standardized vocabulary mapping consistent with OMOP 5.3 requirements. The engagement processed multi-source clinical and laboratory feeds directed to the NCATS N3C centralized repository, the work beginning in April 2020 and completing within months. Integration points centered on extracting institutional clinical extracts, applying transformation logic to normalize records to OMOP 5.3, and delivering harmonized datasets to the centralized COVID-19 analytics database. Governance and operational scope focused on the NIH NCATS program within the healthcare and research domain, with workflows designed to accelerate researcher access to harmonized COVID-19 data. Adeptia Automate supported the NIH objective of rapid data harmonization for analytics, with a documented timeline from April 2020 to completion within months and an explicit outcome of faster researcher access to standardized datasets. |
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