To make thin markets thicker, we need infrastructure that can handle complex matching without destroying nuance. We are building the open-source tools to do exactly that, alongside the proprietary simulation engine to test them.
Our developing headless transaction engine. A powerful matching core that ingests complex profiles, identifies fit, and orchestrates confidential negotiations between counterparties—reinforced by AI Risk Insulation to shield transaction margins from exogenous macro volatility.
View Cosolvent Details →The metadata utility and domain knowledge manager. Structures and maintains the industry expertise required to operate the market—from regulatory frameworks to product ontologies. (Formerly CommonContext).
The Cosolvent and CommonContext suite provides the backend matching logic and ontology mapping. However, we deliberately defer the "last mile" — frontend participant interfaces, payment processing pipelines, trust protocol enforcement, and deep domain-specific business rules — to vertical market sponsors.
Generates realistic synthetic populations of marketplace participants — buyers, sellers, intermediaries — for testing and demonstration purposes. It allows us to flood an open-source Cosolvent instance with agentic actors, stress-testing the market physics and verifying match rates before risking live participant capital or reputation.
View ClientSynth Details →Explore over 250 searchable thin market scenarios to see how these tools apply in practice across different verticals.