Multi-agent simulations that stress-test your business model against the agentic economy
We model your business as a system: customers, channels, intermediaries, margin structure. We then deploy AI agents that behave like real market participants. You watch what breaks.
An AI purchasing agent with full visibility into specs, pricing, and alternatives doesn't call your rep. It routes to the supplier with the best API. We show you which of your transactions survive that, and which don't.
Before you commit to a three-year platform build, run the simulation. We model what your agentic architecture looks like: which workflows automate, which roles shift, where the integration points fail. That ensures the business case is grounded in behavior, not assumptions.
Modeled agentic disintermediation in industrial products. Superagents with visibility into equipment performance, predictive maintenance needs, and supplier alternatives. Showed where long-standing OEM relationships hold and where they get routed around.
Modeled agentic intermediation between consumers and financial products: credit cards, personal loans, the matching layer that currently lives with aggregators. Validated with a 1,000-person consumer survey on willingness to delegate
Modeled an agentic recruiting ecosystem: job seeker agents, company hiring agents, and the matching layer that emerges between them. Showed where traditional recruiters and talent marketplaces get bypassed, and what survives