From One-Line Idea to
A Future You Can See.
Every Stacle run moves through four stages — brief, signal, simulate, decide. You bring the question. We synthesize the world.
Test every launch decision against thousands of outcomes before it touches the real world.
Every run forks into a distribution — not a guess.
Protagonists, crowd, and NPCs — populated from real data.
Drop a deck. Get a future. No analysts in the loop.
Search, news, communities, competitor moves — calibrated.
Every Stacle run moves through four stages — brief, signal, simulate, decide. You bring the question. We synthesize the world.
Three steps between you and a synthetic world that simulates how your launch, campaign, or announcement will actually land.
Drop your pitch, deck, or website. Stacle reads it, extracts the offer, the audience, and the angle — and builds a calibrated profile of your business in seconds.
Stacle synthesizes a world of agents — investors, journalists, customers, skeptics, lurkers — modelled on real public data and tuned to the audience that matters for you.
Press go. The timeline unfolds in real time, branches into thousands of alternate futures, and surfaces the headlines, backlash, and quiet wins you'd actually face on launch day.
Stacle reads the same internet your buyers do. Frontier LLMs power the agents. Real-world signal sources — search, news, communities, competitor moves — keep every world calibrated. Then the decisions flow back to the tools your team already lives in.
Stacle is powered by frontier LLMs (OpenAI, Anthropic, Google Gemini, Groq) and reads live signal from Reddit, X, Hacker News, YouTube, Product Hunt, Google News, Wikipedia, and Google Trends. Outputs sync to Salesforce, HubSpot, Zapier, Slack, Notion, and GitHub. Runs on AWS, Google Cloud, and Microsoft Azure with MongoDB, Redis, and Docker on the infrastructure side.
Agents are anchored in live signal — search interest, news coverage, competitor mentions, community sentiment. Your worlds run on what people actually do, not vibes.
Stacle's team stands up your first ten worlds with you. Production-grade scenarios, real audiences, real numbers — not toy demos with two agents in a sandbox.
Every run forks into thousands of possible futures. You see distributions, not point estimates — probabilities you can plan a launch around.
Surface the criticism before launch day. The exact angle a journalist will take. The comment that'll go viral. The objection your buyers will keep typing.
Your strategy never leaves your perimeter. SOC 2, single-tenant, with a private model option for the launches you can't afford to leak.
Straight answers on how launch simulation works, how the synthetic worlds stay calibrated, and what happens to your data.
Stacle is an AI launch simulation platform that predicts how a product launch, campaign, or announcement will land before it ships. It populates thousands of parallel worlds with multi-agent AI personas — journalists, investors, customers, and skeptics — then runs your launch through all of them and reports the distribution of outcomes rather than a single forecast.
A Stacle run moves through four stages: brief, signal, simulated, and decide. You submit a deck, URL, or one-line idea; Stacle pulls live intel from ten public sources to calibrate priors; it spins up a synthetic world of agents with their own memory and motives; and it returns outcome distributions, counter-narratives, and a decision memo across 1,024 branching futures. See the three-step walkthrough.
A parallel-world launch simulation runs the same launch thousands of times under varied conditions and records how often each outcome occurs. Instead of one prediction, you get a probability distribution — how likely the launch is to be covered, ignored, or attacked — which is what makes the result plannable rather than a single guess that is either right or wrong.
Traditional market research samples a few dozen real people once and takes weeks; Stacle simulates thousands of calibrated synthetic audiences in under five minutes and can be re-run every time the plan changes. Because a run is cheap and fast, Stacle is used iteratively — to compare messaging options and rehearse objections — rather than as a single go/no-go study.
Stacle anchors every agent in live public signal rather than model imagination. Each world is calibrated against ten sources — search interest, news coverage, community discussion, competitor moves, and customer voices — so agent behaviour reflects what audiences are actually doing at the time of the run.
A Stacle run goes from brief to outcome in under five minutes, with no analysts in the loop and no setup required. You drop in a deck, a URL, or a one-line description and the first synthetic world is ready to inspect immediately.
Stacle simulates product launches, marketing campaigns, pricing changes, funding and company announcements, positioning and messaging tests, and crisis or backlash scenarios. Any decision that will meet a public audience can be rehearsed as a synthetic world before it is made.
Yes. Stacle runs private by default: strategy inputs stay inside your perimeter, deployments are single-tenant, and a private model option is available for launches that cannot be exposed to third-party inference. Read the full security practices.
Still deciding whether launch simulation fits your team? Read what Stacle is building or talk to the team directly.
Your next announcement already has a thousand possible endings. Stacle shows you every one of them — before you press send.