Cosolvent is not a finished product. It’s an experiment—an open-source playground designed to test the possibilities and limits of AI-enhanced market matching.
The Unknowns:
- How effective are LLM+RAG systems in real-world trade scenarios?
- Will participants trust AI-generated profiles and matches?
- Can thin markets actually be thickened through digital tools?
These are open questions. Cosolvent is being released not as a polished solution, but as a testbed where developers, users, and researchers can explore answers together.
A Platform for Learning and Growth:
Cosolvent’s modular, open architecture means that it can:
- Rapidly incorporate new AI models and techniques
- Be tailored to niche markets and specific use cases
- Serve as the foundation for commercial applications once proven
The project’s early phase will be about observation, experimentation, and learning. Mistakes will be made. Surprises—both good and bad—are likely.
This is by design. Cosolvent is an invitation to explore how AI can reshape markets that have long resisted digital transformation—and to do so in an open, collaborative spirit.
The future may or may not include Cosolvent as a commercial success. But as an experimental platform, its value is clear: creating space to imagine, build, and test new ideas for the next era of market innovation.