Cohesor is the neutral control plane for AI agents. It sits between your agents - Claude Code, Codex, Cursor, agentic workflow and every LLM model: compressing ~50% of tokens, routing each request to the right-sized model, and governing spend per user for your team. One endpoint, zero code changes, 60–90% lower agent bills. Agent spend is exploding with almost no tooling to understand or control it. The neutral, cost-first control layer is the empty quadrant. Cohesor is built for exactly that.
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Maker
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The inspiration behind Cohesor came from seeing a gap between the promise of AI and how enterprises actually deploy it.
As enterprises adopt more AI, they are increasingly dependent on multiple models, providers, and AI applications. But the infrastructure sitting between the business and those models is still largely static—teams manually choose models based on cost, latency, or benchmarks that quickly become outdated. There is no intelligent layer continuously deciding which model, configuration, and routing strategy is best for a specific business task.