Raycaster
AI workspace for high-stakes documents, not just code.
48 followers
AI workspace for high-stakes documents, not just code.
48 followers
Raycaster keeps protocols, reports, Module 2/3, and quality docs in sync with the science. Your drug development teams ship stronger submissions with far less rework.
Raycaster
Hey Product Hunt 👋
Excited to share Raycaster with the community today 🚀
I’ve been closely involved with this launch and had the chance to see the product evolve from early internal workflows to what it is now. What really stood out to me is how Raycaster treats regulatory and drug-development documents like a true system, not just isolated files.
Instead of one-off AI drafting, it works at a project level across hundreds of PDFs, Word, Excel, and PowerPoint files, keeping dependencies, citations, and versions in sync. In industries where a single inconsistency can delay approvals or trigger rework, this approach genuinely matters.
From diff-aware edits to traceable citations and version control that actually makes sense for regulatory teams, Raycaster feels purpose-built for high-stakes document workflows rather than a generic AI wrapper.
Huge credit to the team for tackling a problem most people underestimate: the documents are often the bottleneck, not the science.
Would love to hear feedback, questions, or real-world use cases from the PH community 🙌
Happy to help clarify anything in the comments!
Congrats on the launch — Raycaster is such a sharp fit for biopharma teams drowning in “FINAL_v7” docs, finally keeping every protocol, report, and Module 2/3 in lockstep with the actual science.