Document Processing
Founded by a dentist whose first product was based on a patent, Angelus competes on differentiation, developing bioceramic products and fiberglass post lines that require clinical proof, intellectual property protection, and regulatory compliance across every market where they are sold.
Reported impact
Document production time cut from 16 hours to 10 minutes; Accuracy target of 90% exceeded on first proof of concept; 50,000 pages of proprietary data now powering AI-generated documents; Angelus used Gemini to automate regulatory documents across 90 global markets, freeing specialists to focus on innovation.
Founded by a dentist whose first product was based on a patent, Angelus competes on differentiation, developing bioceramic products and fiberglass post lines that require clinical proof, intellectual property protection, and regulatory compliance across every market where they are sold. With Google Cloud in place, IPNET by Vivo built Angelus a document intelligence platform powered by Gemini Enterprise . The system connects directly to Angelus's document management system and project task manager, ensuring the AI always accesses the most… That result convinced the board and led directly to a Gemini Enterprise contract for the entire company, expanding the solution beyond the R&D team to every department at Angelus. Key components include Gemini provides the reasoning or generation layer used for classification, orchestration, content generation, or analysis. Reported outcomes include Document production time cut from 16 hours to 10 minutes; Accuracy target of 90% exceeded on.
Accuracy target of 90% exceeded on first proof of concept
Angelus is a Brazilian medical device company with 34 years of history and a presence in more than 90 countries. Founded by a dentist whose first product was based on a patent, Angelus competes on differentiation,…
Angelus used Gemini to automate regulatory documents across 90 global markets, freeing specialists to focus on innovation.
Document production time cut from 16 hours to 10 minutes
That last requirement was where the bottleneck lived. A single complex regulatory document could take a specialist 16 or more hours to produce manually. Private label clients in markets like France, Germany, and Italy…
The question was never whether to adopt AI. The question was which problem we wanted to solve with it. When we found the right problem and chose Google as our platform, everything else followed from there.
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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