Pushing the limits of artificial creativity.
A semantic collision engine for non-trivial idea generation.
Grounded in Koestler's bisociation theory of human creativity (1964).
| Built for | Researchers, ideation teams, R&D departments. Any domain where one non-trivial idea outweighs the cost of compute. |
| Evidence | Benchmarked across 12 projects with a blind LLM-judge protocol. Read the launch study ↗ |
Given the same brief, language models converge to a narrow region of idea space. Researchers call it the Artificial Hivemind (Jiang et al., 2025). We tested whether distant-domain collisions actually escape it.
Lion, C. (2026). Why Direct Prompting Pushes LLMs Toward Trivial Ideas. Oparine Working Paper 01.
We deploy our methods inside companies whose work depends on outputs the default LLM can't reach. Calibrated to your problem, your voice, your brand.
When you want to escape AI slop and say what no one else would think of.
When the upside is in being right alone, not right with everyone.
When you need to scale exploration into non-trivial, unexplored directions.