Artos - 2026 Pricing, Features, Reviews & Alternatives

Artos is a cloud-based AI document creation and management platform built for life sciences organizations, including biopharma, biotech, pharmaceutical, and medical device companies of all sizes, as well as CROs and medical writing firms. The platform covers the full CTD pyramid, taking raw source data through to submission-ready regulatory documents, and serves medical writing, regulatory affairs, clinical operations, CMC, IT, and engineering teams. IT setup requires as little as one hour, with self-serve online signup available, and an API supports custom GxP-compliant integrations.

The platform generates high-quality drafts of clinical study reports, non-clinical overviews, toxicology reports, protocols, and other regulatory documents directly from source data, including tables, figures, and graphs, using generative AI models trained specifically for life sciences document types. Output conforms to company-preferred or purchased templates. When new data, literature, or study reports are added, individual document sections can be regenerated independently, with support for tone and style adjustments and comment resolution. Source Tracer records the exact source data used to generate each section, supporting QC and audit requirements. Inconsistency Intelligence detects edits to one section and propagates changes across related sections automatically. Downstream Visualization maps the impact of data or document changes across the full document set. Searchable audit logs support GxP compliance throughout the document lifecycle.

Artos connects with Google Drive, SharePoint, Veeva, Empower, LIMS, Box, Microsoft Teams, Excel, and Smartsheet, and includes configurable workflow automations triggered by data or document changes. Life sciences-specific search spans internal organizational data alongside external sources such as clinicaltrials.gov and Drugs@FDA, with support for complex data formats including PDFs, RTFs, investigator CVs, 1572 forms, and CRFs. Side-by-side protocol comparison is included. The platform addresses structured data trapped in unstructured formats through AI-powered ingestion and transformation, covering the entire document lifecycle from drafting through review, update, and submission.