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What is anicomply?

A Word recipe can be a useful starting point for digital manufacturing, but showing that document on a screen is not the same as running a controlled workflow. anicomply is an eBR-first Intelligence Platform: existing, structured Microsoft Word recipes and manufacturing instructions form the basis for executable digital batch processes. Production teams can work with guided steps, while structured process data can support QA traceability and review by exception. Its declarative, no-code-oriented design helps process specialists create or revise workflows with less dependence on programming resources. Audit trails, electronic signatures, version control and four-eyes review support controlled processes according to the agreed configuration. anicomply is browser-based, supports mobile use and can be deployed in the cloud or on premises. Integration with ERP, MES and SCADA systems is assessed and planned for the particular IT/OT landscape. The platform is intended for pharmaceutical and biotech manufacturers, CMOs and CDMOs, API producers and quality-critical chemical operations. A demo or Proof of Value can explore the fit using an existing Master Batch Record.

What is Res_Q?

Res_Q is an AI-powered GxP electronic validation and compliance management platform developed by Sware for pharmaceutical, biotechnology, and other regulated life sciences organizations. The software provides a centralized cloud-based environment for managing computerized system validation activities throughout the application lifecycle. Its validation management capabilities support planning, documentation, risk assessments, test execution, approvals, change management, and ongoing compliance monitoring. Agentic AI functionality automates routine administrative tasks, tracks validation progress, and identifies activities requiring review or human judgment. Intelligent risk scoring evaluates system criticality and other relevant factors to help quality teams prioritize validation activities and allocate resources. The platform includes automated asset processing that organizes uploaded vendor documentation, validation packages, protocols, and other supporting materials into searchable records. Its video-to-script feature converts recordings of on-screen software processes into structured validation scripts to simplify test documentation. Smart dashboards and analytics provide visibility into validation workloads, operational milestones, risk levels, and compliance status across departments and facilities. Res_Q supports validation requirements associated with Good Clinical Practice, Good Laboratory Practice, Good Manufacturing Practice, and artificial intelligence systems used in regulated environments. Its AI validation capabilities include risk-based documentation, change tracking, and performance monitoring aligned with GAMP 5 guidance and applicable regulatory expectations. Through Res_Q Connect, the platform integrates with enterprise applications, quality systems, and automated testing tools using governed workflows, approval controls, and traceable audit records.

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Integrations Supported

Integrations Supported

Adobe Acrobat Sign
Amazon Web Services (AWS)
Benchling
Box
Docusign
LabVantage
LabWare LIMS
MasterControl
Microsoft Dynamics 365
NetSuite
Nuvolo
Okta
OpenClinica
SAP Cloud Platform
ServiceNow
Smartsheet
TraceLink
TrackWise
Veeva CRM
ZenQMS

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

anic GmbH

Date Founded

1996

Company Location

Germany

Company Website

www.anic-gmbh.de

Company Facts

Organization Name

Sware

Date Founded

2015

Company Location

United States

Company Website

www.sware.com/products/res_q

Categories and Features

Categories and Features

Life Sciences

Not specified

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