Stage one
Read the science with context
Lemma starts by understanding the paper itself: what domain it belongs to, how mature the work is, and where the technical edge actually sits.
Product method
A research-to-startup workflow built in the same order your decisions actually happen.
Lemma is not a single model with a generic prompt. It is a staged system that first understands the paper, then evaluates the market around it, and only then generates venture-facing material.
That sequence matters. It keeps the output grounded in the science before the product starts making claims about commercialization.
Stage two
Translate into market reality
The product then gathers live signals around competitors, funding, patents, and market structure so the idea is framed in the world it must enter.
Stage three
Package for venture conversation
Finally, Lemma builds a feasibility view and a pitch narrative that is usable by researchers, incubators, and investors without losing the original technical nuance.
Core principles
Why the outputs feel more like product thinking than content generation.
Evidence over decoration
Every major output should point back to an assumption, signal, or document trail that a researcher can inspect.
Editable judgments
Classification and framing are not locked. Researchers can override the system when domain edge cases or interdisciplinary work require human correction.
Outputs for real review loops
The format is intentionally institution-friendly: enough structure for TTOs and incubators, enough clarity for investor conversations.
Deep dive
Domain classification engine
See the more detailed breakdown of how Lemma classifies research domains before the rest of the pipeline runs.
Open technical explainerExperience it
Run the workflow on your own paper
Start with the paper upload flow and inspect how the product builds the story from research to deck.
Analyze my paper