quirq is deploying an open-source agentic environment solution that observes agents, tools, models, and costs across a stack without SDKs, spans, or wrappers.

Most AI tools tell you what your model consumed. XO tells you what it delivered. XO is the environment where AI agents do real work and every unit of that work is verified, costed, and repeatable. We built the infrastructure layer that turns AI from a cost center into a measurable part of your operations. At the core is the quirq: the first standard unit of delivered AI work. Before an agent starts, you define what done looks like. The environment snapshots state before and after, verifies the outcome, and mints the result. The agent never grades its own work. What this means in practice: a cost-per-outcome that trends down as agents repeat tasks, a ledger you can show a CFO, and a way to compare AI spend to any other line item in your business. For teams: one shared environment across coding, operations, and productivity. For operators: AI that runs on a P&L, not a prayer. For investors: the accountability layer the agent economy has been missing. 10,000+ agents launched. 100B+ monthly tokens. Trusted by NVIDIA, Microsoft, AWS, Google, OpenAI and 5,000+ builders. 🔗 xo.builders | 📄 xo.builders/whitepaper