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For regulatory & clinical writing teams

High-trust AI
for regulatory
submissions.

Asthra drafts CSRs, PSURs, CERs, and CMC modules inside Microsoft Word — grounded in your own source documents, with sentence-level citations and human review at every step.

BUILT ON CLAUDESOC 2 READYYOUR SOURCES, YOUR PERIMETER
Built on Claude

Purpose-designed for regulated writing — agentic retrieval, closed-system drafting, and two-level citations by default.

Asthra AI is a regulatory writing co-pilot for life sciences teams. It generates compliant first drafts of clinical and safety documents — CSRs, PSURs, CERs, and CMC modules — from writer-specified source documents inside Microsoft Word. Every output is grounded in your evidence, cited at the sentence level, and subject to human review.

The status quo

Regulatory writing is still slow,
manual, and repetitive.

Generic AI doesn't fix it — it adds new risk. Teams need leverage, not chatbots.

01 / Blank-page tax

Writers start from blank templates

Each document begins with manual review of protocols, trial data, and prior reports. Critical context lives across dozens of files — hours of synthesis before writing can begin.

02 / Capacity drain

Grunt work consumes writing capacity

Copy-paste, rewriting sections across documents, summarizing data tables, reformatting into templates. Seasoned writers spend 60% of their time on mechanical tasks instead of judgment.

03 / Trust deficit

Generic AI introduces new risks

General-purpose chatbots hallucinate, lose grounding in source material, and leave reviewers with no way to verify claims. In a regulated submission, unverifiable content is worse than no content.

04 / Compounding pressure

Timelines compress, effort keeps rising

Regulatory deadlines tighten while document complexity grows. Teams hire more writers and add overtime, but cycle times don't improve — the underlying process stays manual.

The Asthra promise

Accelerate drafting —
without breaking compliance.

Asthra helps life-sciences teams generate structured first drafts from source content, with writer-defined provenance, on-demand citations, and human-in-the-loop review — so writers focus on judgment, not grunt work.

At a glance

What Asthra delivers.

Drafts sections faster

Section-specific drafting aligned to your own templates. Choose your source documents, answer a few prompts, and generate a first draft in minutes.

Grounded in your evidence — not model memory

Outputs are generated strictly from writer-specified source documents. No unsupervised internet retrieval — external lookups require writer approval and are logged. No training-knowledge leakage. Missing data is flagged, never fabricated.

Works inside Word

No new authoring environment. Writers stay in Microsoft Word via the Asthra add-in. Launch, select sources, review the draft inline, edit in place.

Two-level citations, on demand

Every section is cited at the document level and, when you need it, at the sentence level — with file name, page number, and exact text snippet. Supports blind review workflows.

How it works

An agent that plans, retrieves,
drafts, and hands off.

Four steps — every one of them auditable.

STEP / 01

Plan

The agent produces a retrieval plan: which source files and sections it intends to use for each part of the document. Review and approve the plan before drafting begins.

STEP / 02

Retrieve

Semantic retrieval pulls the right excerpts from your uploaded documents. No unsupervised internet access — any external lookup pauses for explicit writer approval and is logged in the ledger. Nothing from model training memory. Only your evidence, on your terms.

STEP / 03

Draft

Claude drafts each section against module-specific writing instructions your team validated during onboarding. Missing data is flagged inline, never fabricated.

STEP / 04

Hand off

The draft lands in Word with an immutable transaction ledger. Every claim traces back to a source file, page, and passage. Writers edit in place with track changes.

Chat mode

Chat with your draft
after it's written.

After the first draft lands, Asthra stays in the document with you. Ask why it cited a particular passage, which sources it compared, or whether a claim has supporting evidence. Tell it to rework §4.1, tighten a summary, or swap one source for another.

Every refinement is logged, every citation updates automatically, and every edit goes through the same closed-system retrieval that produced the original draft.

W
Why did you cite Protocol §8.2 and not the SAP here?
A
Protocol §8.2 defines the primary endpoint; the SAP derives the analysis method. The endpoint description belongs in §9.3 of the CSR, so I sourced it from the protocol. Want me to add a cross-reference to SAP §3.1 for the analysis population?
W
Yes, and shorten the paragraph to 80 words.

Illustrative chat. Real conversations happen inside the Word add-in.

Designed for regulated environments

Trust, transparency, and compliance.

Uses only the sources you provide

Closed to the internet by default and to model memory. Asthra operates within your data perimeter; external lookups require writer approval and are logged in the ledger. No source contaminates the output without your sign-off.

Flags missing or inconsistent data

When source documents contain gaps or contradictions, Asthra surfaces them explicitly — instead of papering over them with plausible-sounding text.

Two levels of traceability

Document-level provenance for every section, plus on-demand sentence-level citations with file, page, and passage. Every generated claim is audit-traceable.

Validation & compliance posture

SOC 2 Type 1 and ISO 27001 ready. SOC 2 Type 2, GDPR, HIPAA, and EU AI Act in progress. Deploy as managed SaaS or in your own VPC.

Voices from the field

In active use with pharma and medical-device teams.

Named references available on request.

Pharmacovigilance teams are under increasing pressure to do more with greater speed and consistency. Asthra applies AI in a thoughtful, compliance-aware manner — automating the heavy lifting while keeping expert oversight central.

VD
Varun Dua
Founder, PV Analytica — safety and pharmacovigilance advisory
A 30-day pilot

See Asthra on your documents.

Request a live demo and we'll match Asthra's output, side-by-side, against your existing process — and show you the writer-hours saved, line for line.