Problem: Graduate researchers and postdocs spend disproportionate time wrestling with the mechanics of academic writing. Turning results into a coherent introduction, framing a literature review, phrasing claims with appropriate hedging, and restructuring for reviewer comments are all high-effort, low-joy tasks. Generic AI writing assistants produce prose that reads as generic and often ignores the conventions of scientific communication.
Named product: Promptwise Science Pack is a curated prompt library plus an AI co-writing toolkit tuned specifically for academic and scientific writing workflows. It is spun off from Promptwise's existing generative platform, so the underlying generation engine already exists.
Solution: Rather than a blank chat box, the Science Pack ships opinionated prompt templates for the recurring jobs in paper writing: drafting an abstract from bullet results, building a structured intro funnel, paraphrasing a research question, tightening a methods section, and responding to reviewer critiques. The value is in the curation and tuning, not raw model access.
MVP: A prompt library organized by paper section and task, wrapped in a lightweight co-writing editor that inserts the right prompt at the right moment. Reuse Promptwise's generation backend to avoid building model infrastructure.
Revenue: B2B SaaS subscription targeting individual researchers first, with a path to lab and department seat licenses. Priced per user per month with an academic tier.
GTM: Ride the same educational content channels where the audience already learns, notably YouTube tutorials on essay writing and prompt engineering. Seed the library through student and postdoc communities.
Growth loops: Researchers share useful prompts and section templates with labmates, and co-authored papers pull in collaborators. A shared prompt library within a lab creates seat expansion.