Human-behavior simulation for culture.
Attractor Labs simulates whole audiences: thousands of generative agents that behave like real people, so creators and platforms can see how a concert, movie, or campaign will land before betting on it.
Demand intelligence for live entertainment.
Operators make multi-million-dollar pricing, sizing, and inventory calls on traditional forecasting and gut feeling. We replace that with data-driven intuition, trained on regional fan interviews, behavioral research, and historical ticket data.
Traditional forecasting, modernized
Quantile gradient-boosted models cross-checked by foundation time-series models. Standard forecasting where it's already solved, calibrated against real ticket outcomes run-on-run.
Simulated personas, real behavior
Each persona is calibrated against real fan interviews and historical purchases. Memory, reflection, planning. They walk your show, evaluate the offer, and decide whether to buy.
A focus group on demand
Stop the simulation, talk to any persona directly. Ask why they bought, why they didn't, what would change their mind. A live qualitative layer most operators never get.
Recommendations you can act on.
Not a number. Not a forecast band. A concrete plan with confidence ranges, downside floor, and the exact trigger conditions that say act now.
Every scenario, simulated. One you can act on.
Every show has thousands of possible versions: dates, prices, capacities, marketing spend, announcement timing. We simulate them all so you see which ones win, which ones break, and which one to actually book.
Every signal a show emits, ingested at once.
Streaming, social, presale velocity, fan interviews, historical sell-through, candidate dates, price tiers, marketing spend, capacity. Dozens of fragmented sources resolved into a single state the simulation can act on.
Better decisions grow the whole industry.
Today, demand is guessed. Rooms sit half-empty, tours skip cities, presales misprice. When operators can see what audiences would actually buy, more shows happen, more seats fill, and more fans get to be in the room. Venues, promoters, and platforms each win the same way.
Venues
Open the right number of dates. Right-size the room. Justify the booking decision with a confidence range, not a hunch. Stop leaving capacity on the floor.
Promoters
Price tour stops with confidence. Time the announcement. Allocate marketing spend per market with a precise demand picture per route, not regional averages.
Ticketing platforms
Embedded simulation as a value-add for issuer events. White-labeled demand forecasts that turn your data into a decision layer for the venues and promoters on your platform.
Meet the Live Simulators.
We come from Stanford HCI and the MIT Media Lab, with backgrounds in digital twins, behavioral psychology, and product design, and research and field work on simulating populations of agents.
