Redica Catalyst™ – Transforming raw data into structured, actionable intelligence
Catalyst is a purpose-built Enterprise AI regulatory and quality solution for the Life Sciences sector. It uses a multilayered architecture to integrate structured and unstructured data from public and private sources. With capabilities such as Redica ID™ – for entity resolution and integration with master data and Redica DocIQ™ – for processing unstructured data, Catalyst supports predictive quality, compliance, and supply chain oversight with precision and scale. It uniquely blends AI with human-in-the-loop workflows to ensure high data accuracy, actionable insights, and seamless enterprise adoption.
Built for the real-world challenges of regulatory and quality teams.
Redica Catalyst powers high-value, AI-driven workflows across the life sciences enterprise — from monitoring supplier risk to navigating regulatory change. Whether you’re managing a product launch, preparing for an inspection, or triaging global guidance, Catalyst turns fragmented data into actionable intelligence. The following are a few use case examples:
Anticipate when inspections are likely to occur — and how they might go — based on historical patterns, enforcement trends, and supplier profiles. Catalyst analyzes regulatory signals and inspection history across thousands of sites to help you prepare proactively, not reactively.
Identify subtle shifts before they become major disruptions. Catalyst continuously monitors quality events, audit trails, and supplier behaviors to surface early warning signs — so you can act before small issues turn into supply shortages or compliance failures.
Break down the barriers between your QMS, ERP, LIMS, and spreadsheets. Catalyst unifies structured and unstructured data across systems, linking it with Redica’s public intelligence to provide a clear, connected view of your regulatory and quality landscape.
Linking ‘Everything to Everything’
Global unification of siloed data. Redica ID is a proprietary identification system designed to model and interlink key entities in the life sciences ecosystem, bridging the public and private data world.
Read this blog post for more on how the Redica ID is different from FDA’s FEI.
Redica DocIQ
The key to unlocking intelligence on unstructured document data. Configurable set of services that builds a foundation for advanced analytics on top of public and private documents to ensure accurate search, routing, extraction, and recommendations.
Read this blog post for more on Redica DocIQ.
Redica Knowledge Graph
The Redica Systems knowledge graph shows the relationships between entities. It is a unique global, harmonized data model. For example, if you start with a FDA 483, it has relationships with a site, an organization, various products, an inspection event, FDA investigators, etc. Mapping those relationships helps you understand how one may impact the other.
Similar to how we create the key objects themselves (the Redica ID), relationships must be established between the Redica IDs to create knowledge and insights.
Redica Ontologies
When Redica Systems utilizes AI to label agency enforcement action documents (like FDA 483s and Warning Letters), it follows our ontologies, like this one for Human Drug GMP.
This results in an unprecedented level of tagging and labeling detail, allowing you to answer questions like, “are Quality Unit observations trending up in North America over the past year?”.
The Future of AI in Quality and Regulatory
For insights into how Redica Systems is using Artificial Intelligence (AI) and Machine Learning (ML) in our app roadmap and how we think it will impact Quality and Regulatory for life sciences companies, watch this video of our CEO’s presentation at a recent industry conference.
Who is it For?
At Redica Systems we work with both large and small firms. We know each has specific and unique needs and tailor our data to provide you with the information that matters to you and your team.
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