AI for CMC Module 3 authoring: tools compared in 2026
Module 3 is the quality section of the CTD. ICH M4Q sets its structure: 3.2.S for the drug substance and 3.2.P for the drug product. It is mostly tables. Batch analyses, specifications, process validation and stability data describe the same lots from different angles, and every number has to agree.
That is why quality matters to approval. Of the 445 complete response letters FDA has published, 173 (39%) cite a product quality deficiency, and 290 (65%) cite quality or a facility inspection. Drafting Module 3 faster only helps if the draft is right.
This page compares seven tools that draft Module 3, using what each vendor says on its own site in November 2026.
What to check in any Module 3 tool
- Sources. Does it read batch records, certificates of analysis, specifications, method validation reports and stability data, or only prior documents?
- Citations. Does each value link to the page it came from, or only each paragraph?
- Gaps. When a source is missing, does the draft say so, or write a plausible number?
- Consistency. Does it catch a limit that differs between 3.2.P.5.1 and the stability section?
- Review. Can a reviewer see the plan, edit in Word and keep an audit trail?
- Reach. Does it stop at Module 3, or also cover the Quality Overall Summary, gap analysis, change control and the rest of the dossier?
The tools
| Tool | What the vendor says | Format |
|---|---|---|
| Arca | CMC / Module 3 drafting, gap analysis, Quality Overall Summary drafting and specification support on your own documents | Software |
| Asthra | Drafts Module 3 from batch records, certificates, specifications, validation reports and stability data, with a citation for each specification value | Software, Word add-in and web app |
| Celegence | CAPTIS AI platform plus expert writers; a pilot with Kenvue reached over 80% alignment with the final submission after one round of refinement | Service plus software |
| module3 AI | Agents for CMC, quality and regulatory work, with an optional AI-native QMS, LIMS, ELN and document system; single-tenant | Software suite |
| Botminds | Six agents that read sources, draft sections, check numbers and cross-check limits across sections | Software |
| Bluenote | Agentic documents across nonclinical, clinical, CMC, regulatory and quality; SOC 2 Type II and an on-premise option | Software |
| Certara CoAuthor | Generative AI and more than 275 eCTD templates inside Microsoft Word; CMC and nonclinical writing also sold as a service | Software and service |
How Arca drafts Module 3
Arca ships a CMC / Module 3 drafting AOP built on the eCTD structure. It reads your source library, maps each document to the Module 3 subsection it supports and drafts 3.2.S and 3.2.P sections with a citation behind every value.
- Missing sources become placeholders. A subsection with no source is flagged with what is needed. Arca never fills it from general knowledge.
- Conflicts surface. When two documents disagree, the draft shows both values with both citations and leaves the choice to the writer.
- A punch list comes with the draft. Every placeholder and discrepancy goes into one to-do list for the writer.
- A gap analysis runs next. The CMC / Module 3 gap analysis reads the package the way an FDA quality reviewer would, looking for missing documents, incomplete data, inconsistencies, out-of-specification results and statements that cannot be traced, so that problems surface before a refuse-to-file or an information request.
- Neighbouring work is covered. Arca drafts the Module 2.3 summary, supports specification setting and justification, assesses nitrosamine control strategies, and assesses CMC changes against post-approval reporting rules.
The drafting runs where the documents already live. Arca reads Veeva Vault, SharePoint, Google Drive, OneDrive and Box, and Arca for Word puts the draft in your template with tracked changes.
LifeSci Diamond, Arca's open benchmark, includes tasks built on exactly these problems. Dossier consistency tasks hide real conflicts among differences that should exist. Missing-evidence tasks require naming the absent report and what it blocks, and fail an answer that invents its results.
Choosing
Choose Arca if Module 3 is one part of a wider regulatory, quality and clinical workload and you want drafting, gap analysis and change assessment on the same documents.
Choose Asthra if you want to start self-serve on a single section. It publishes per-section pricing and a benchmark scored against a filed dossier.
Choose Celegence if you want a service team doing the writing with its platform behind it. Choose module3 AI if you are also replacing your QMS, LIMS or ELN. Choose Botminds if the cross-section limit check is your main concern. Choose CoAuthor if your writers want a template library inside Word.
Frequently asked questions
Can AI draft CMC Module 3?
Yes. A good tool drafts 3.2.S and 3.2.P sections from the batch records, specifications, method validation reports and stability data you already have, links each value to its source and flags what is missing. A CMC specialist reviews and approves the result.
What is the best AI tool for Module 3?
It depends on scope. Arca covers Module 3 drafting, gap analysis, the Module 2.3 summary and change assessment. Asthra, Botminds and CoAuthor focus on authoring. Celegence pairs software with a writing service.
Does Arca draft from my own documents?
Yes. Arca reads Veeva Vault, SharePoint, Google Drive, OneDrive and Box, cites each statement to the document and page it came from, and shows a placeholder where a required source is missing.
Does Arca check Module 3 for consistency?
Yes. The CMC / Module 3 gap analysis looks for missing documents, incomplete or pending data, internal inconsistencies, out-of-specification results and untraceable statements before submission.