Artos

Artos

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Artos
Artos

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Artos is an AI-powered document authoring platform purpose-built for the life sciences industry. Backed by Y Combinator, Artos helps pharmaceutical and biotech companies streamline the creation of complex regulatory and R&D documents—such as INDs, NDAs, BLAs, protocols, investigator brochures, and clinical or CMC study reports. By combining agentic AI systems with automation, traceability, and support for varied data formats, Artos dramatically improves both the speed and accuracy of scientific documentation. Unlike generic AI tools, Artos is specifically engineered to meet the transparency, reliability, and reproducibility standards required in pharmaceutical R&D. Its modular architecture scales across the diverse and often messy workflows of drug development, allowing teams to realize over 50% time or cost savings within the first year of use. Key capabilities include full transparency into data processing, automated workflows for dynamic document updates, and seamless handling of unstructured input files (including PDFs, Excel sheets, and images). Artos eliminates the need for prompt engineering by using intelligent agents trained to produce reliable, reproducible outputs. Users can easily integrate company-specific templates and style guides without manual formatting, while built-in inconsistency intelligence flags discrepancies across documents. With Artos, life sciences teams can focus on science and strategy rather than formatting and busywork. The platform accelerates timelines, reduces risk, and enables scalable, compliant document authoring from discovery through approval. Learn more at www.artosai.com
Artos AI415Artos is a Y Combinator-backed, AI-powered document authoring platform built specifically for the life sciences industry. Designed for pharmaceutical and biotech companies, Artos enables faster, more accurate drafting of regulatory and R&D documents—such as INDs, NDAs, BLAs, Protocols, Investigator's Brochure, and Study Reports (CMC, Non-Clinical, Clinical)—by combining purpose-built agentic AI systems with automation and traceability tools. Our modular, agentic approach is built to meet the stringent transparency, reliability, and reproducibility standards of pharmaceutical R&D, while harnessing the power of Large Language Models (LLMs). This flexible architecture is designed to scale across the many complex and heterogeneous workstreams in the drug development life cycle—resulting in 50%+ time and/or cost savings for biotech and pharma teams in the first year alone. Key features include: Transparency – users can see exactly what data was used, how it was processed, and why certain content ended up in a draft. The AI shows its work. Scalability – new document types can be supported easily by orchestrating existing agents, without requiring new engineering. No prompt engineering required – agents reliably interface with LLMs to produce reproducible results, freeing domain experts from needing to understand or tune the underlying AI systems Reliability – purpose-trained to avoid hallucinations Automated Workflows – update sections, tables, and charts based on changes to source data files Add Custom Templates – users can easily add their company's specific templates and style guides. No manual effort required, upload the templates as-is. Inconsistency Intelligence – automatically flags cross-document discrepancies Our platform is designed for life sciences document workflows. We know input documents are messy and come in all sorts of formats — .pdf, .rtf, .docx, .jpeg, .xlsx, and more. We don't require end users to spend hours of manual efforts organizing their data. We can work with data in all different formats. Artos helps teams cut down on busywork, drive efficiencies in document drafting workflows and accelerate drug development. Learn more at www.artosai.com.

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