List of Acodis Data Extraction Customers
Winterthur, 8400,
Switzerland
Since 2010, our global team of researchers has been studying Acodis Data Extraction 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 Acodis Data Extraction for Extract, Transform, and Load (ETL) 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 Acodis Data Extraction for Extract, Transform, and Load (ETL) include: Roche, a Switzerland based Life Sciences organisation with 112774 employees and revenues of $80.28 billion, Bayer, a Germany based Life Sciences organisation with 92815 employees and revenues of $55.47 billion, Syngenta, a Switzerland based Life Sciences organisation with 30000 employees and revenues of $16.98 billion and many others.
Contact us if you need a completed and verified list of companies using Acodis Data Extraction, 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 Acodis Data Extraction 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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Bayer | Life Sciences | 92815 | $55.5B | Germany | Acodis | Acodis Data Extraction | Extract, Transform, and Load (ETL) | 2024 | Capgemini |
In 2024 Bayer deployed Acodis Data Extraction, a Data Extraction application, to extract raw data from historic clinical study reports for Bayer Consumer Health. The effort focused on clinical research R&D and covered Europe with global reuse intent, processing over 3,500 pages and more than 200 complex tables to enable pooled analysis.
Acodis Data Extraction was configured to parse and normalize unstructured clinical text and complex tabular data, with document ingestion, table parsing, and data normalization capabilities aligned to clinical reporting workflows. The implementation produced a common data model and mapping logic in three weeks, allowing structured outputs suitable for pooled analysis and downstream research queries.
The project was delivered together with Capgemini Engineering, which collaborated on engineering and model stabilization while Acodis provided the extraction engine. Operational scope targeted clinical research and R&D teams, enabling reuse of legacy clinical data across study-level analytic processes, supporting pooled analysis without creating additional trial data.
Governance centered on the common data model and repeatable extraction pipeline, enabling Bayer to standardize data curation from historical study reports and accelerate analytic readiness. The initiative explicitly enabled Bayer to reuse legacy clinical data for analysis and reduce the need for additional trials, with the Acodis Data Extraction deployment serving as the extraction and normalization layer for future R&D data reuse.
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Roche | Life Sciences | 112774 | $80.3B | Switzerland | Acodis | Acodis Data Extraction | Extract, Transform, and Load (ETL) | 2024 | n/a |
In 2024 Roche deployed Acodis Data Extraction to support contract management/sales for its sales organization. The Acodis Data Extraction implementation classified and extracted data from over 8,000 contracts to create a searchable, machine-readable contract database for commercial use.
The deployment delivered a scalable web-accessible repository that centralized extracted contract records and enabled clause-level search and retrieval. Functional capabilities implemented included automated document classification and data extraction into structured, machine-readable records consistent with contract management/sales workflows.
The solution was integrated into Roche's internal systems and provisioned for Switzerland and global sales operations, providing centralized access for the sales organization and related contract management teams. Integration scope focused on connecting the extracted, indexed contract data into Roche's operational systems to support routine commercial and contract workflows.
Governance and rollout emphasized repository accessibility and operationalization within contract management processes, embedding the searchable database into routine sales workflows. Reported outcomes included time savings equivalent to roughly three full-time employees per year.
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Syngenta | Life Sciences | 30000 | $17.0B | Switzerland | Acodis | Acodis Data Extraction | Extract, Transform, and Load (ETL) | 2024 | n/a |
In 2024 Syngenta deployed Acodis Data Extraction to extract and transform packaging and product data for its product data/packaging program. The implementation processed content from over 70,000 pages in eight languages and was scoped to feed Syngenta's global packaging information management program, with operational ownership based in Switzerland and global integration targets specified for the packaging function.
Acodis Data Extraction was configured to run end to end extraction and transformation pipelines, with rule sets for parsing product and packaging attributes, validation workflows to ensure data quality, and enrichment staging prior to system import. The deployment emphasized multilingual extraction and structured data normalization to align source content with the target packaging data model used by Syngenta's program.
Extracted and validated information was integrated into the new CP Packaging IT solution, creating a direct ingestion path from Acodis into the packaging information management stack. The work touched product data and packaging business functions across the organization and supported accelerated data migration and reuse. The extracted data was validated and enriched before integration, reducing manual effort and accelerating data migration and reuse as stated in the implementation notes.
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Buyer Intent: Companies Evaluating Acodis Data Extraction
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