ARIA works alongside your team as you draft CMC documents and untangle large merged files, reading your LIMS exports, stability tables, and batch records, so nothing gets typed twice.
Teams are expected to produce more submissions with the same, or smaller, regulatory writing staff.
What used to take weeks is now being benchmarked against what AI-native teams can do in days.
Legacy systems were designed for storage and tracking, not intelligent authoring. ARIA pairs regulatory intelligence, semantic search across your own submission history, with cited, traceable authoring, so every drafted sentence points back to its source.
LIMS exports, scanned batch records, merged PDFs: ARIA's OCR engine parses layout and structure directly.
Most AI tools assume clean, structured data. LIMS exports, scanned batch records, and merged PDFs need to be parsed before a narrative can begin.
Solved by ARIA's proprietary OCR engineTeams often receive a single merged PDF spanning several modules, scanned, inconsistently formatted, with no metadata. ARIA's layout-aware OCR reconstructs structure first, then classifies and assigns each section, with its reasoning shown, not hidden.
Narratives generated for §3.2.S, §3.2.P, and Module 2.3 QOS, aligned to ICH M4Q(R1).
Tracked changes, role-based approval gates, full audit trail. 21 CFR Part 11 built in.
Export the eCTD backbone with validated hyperlinks and regional formatting applied automatically.
Six things your team is doing by hand right now.
Every accurate narrative starts with clean, structured source data, parsed directly from raw files.
Drafts Module 3 narratives using your approved language and templates.
Flags every downstream section when a specification changes.
Pulls stability data and formats to ICH Q1E requirements.
Every reused block is traceable to source and approval date.
Multi-regional packaging
Hyperlink and metadata checks run as you work.
Every submission strengthens the next. ARIA connects source data, generated content, and regulatory guidance into one queryable knowledge layer, not just a document generator.
Every generated claim traces back to the exact paragraph, table, or figure it came from, not just which document.
See what a module still needs, checked against the regulatory spec itself, not just what's already been filed.
See exactly what changed between one sequence and the next, instead of re-reading the whole filing.
Catch a spec limit stated one way in one section and differently elsewhere, before a reviewer does.
See how confident ARIA is in a section assignment, and where two independent checks disagree.
Every classification, edit, and approval is logged, so "what changed and who changed it" always has a real answer.
Enterprise-grade authoring without an enterprise headcount.
Coordinate multi-program authoring without losing consistency.
Deliver faster for every client without sacrificing rigor.
Search, Draft, Validate, and Publish agents work in concert.
Classify, extract, and normalize across labeling, CMC, and eCTD inputs.
Insert approved language and tables with full traceability.
Audit logs, e-signatures, SSO, permissions, segregation of duties.
ARIA augments the systems you already run, it doesn't ask you to rip and replace them.
Driven by intelligent workflow automation and semantic reuse.
Inline validation catches critical errors before the final compile.
Locale-aware rule sets and templates keep submissions globally compliant.
Integrate with your existing stack now, consolidate later.
Enterprise adoption isn't just a regulatory decision. IT, security, and procurement need answers too.
SSO, role-based access, and granular permissions.
Cloud or private deployment options to fit your governance model.
Full audit logs and visibility into how AI outputs are generated.
Your data stays segmented and private, never pooled across tenants.
Hosted on AWS, with residency and disaster recovery built into the infrastructure.
Tenant data is never used to train underlying AI models.
Trust is essential in regulatory work. ARIA is hosted on AWS, with CCPA and GDPR compliance built into the hosting layer, and strict boundaries on how your data is used.
Encryption at rest, secure SDLC, segmented environments, and continuous monitoring on AWS infrastructure.
ARIA does not share tenant data with underlying AI models for training. Each tenant's data stays isolated and private.
Compliance is built into the AWS hosting layer, with data residency and access controls maintained per tenant.
Yes. ARIA connects via API to common LIMS and EDMS platforms and accepts standard export formats, plus Veeva Vault and SharePoint.
Yes. Audit logs, e-signatures, role-based access, and encryption are built into the platform, not bolted on.
FDA, EMA, PMDA, and Health Canada rule sets are built in, packaged from the same CMC content at export.
ARIA's document AI automatically structures, extracts, and classifies raw or merged inputs into the correct CTD sections, no manual pre-sorting required.
Module 3 narrative generation from source data, aligned to your approved language.
§3.2.S / §3.2.PAuto-assignment and classification of large merged files into CTD sections, with visible reasoning.
Document AIXML, hyperlink, and metadata validation before compile, catching errors early.
Pre-compileMulti-regional eCTD backbone assembly, packaged per authority automatically.
FDA / EMA / PMDASubmission status and lifecycle tracking, a phaseable path off legacy RIM.
TraceabilityA 20-minute walkthrough. Your data, your use case, no obligation.