Composable simulation systems for human behavior modeling with LLM agents
Composable simulation systems let teams model worlds, agents, memory, time, and control as separate layers that can be tested and improved independently.
Decision intelligence for teams that test before they launch.
Multi-fidelity agent simulation: scaling time without losing behavior quality
Multi-fidelity simulation uses rules for routine behavior, heuristics for medium-risk moments, and LLM reasoning only when decisions matter.
Human-in-the-loop agent simulation: control synthetic agents without breaking coherence
Human-in-the-loop control works when every intervention respects agent memory, personality, goals, and world constraints.
Synthetic humans for market research: what they can test before launch
Synthetic humans help teams pressure-test markets, messages, objections, and purchase behavior before a live launch.
Pre-live A/B testing: how to choose better variants before traffic is at risk
Pre-live A/B testing helps teams remove weak variants before real visitors enter the experiment.
Pricing simulation: test willingness to pay before a price change
Pricing simulation lets teams compare price moves, packaging, and messaging before revenue is put at risk.