Market simulation engagements

Run the launch
before you launch it.

Manic Edge builds a simulated version of your market, with your customers modeled as a population of AI agents, and runs your decision through it. Watch how the community reacts, how competitors counter, and what breaks. Before anything ships.

01 / The product

A rehearsal space for
decisions you can't take back.

The problem

Markets grade in public.

Pricing changes, paywalls, repositioning: you find out how customers really react only after it's live, when the damage is already done and the community is already angry.

What we do

We simulate your market.

We seed a population of agents from your real customer data, inject the decision you're weighing, and run the simulation multiple times. Then we report what recurs.

What you get

Signal, not vibes.

Reactions that recur across independent runs, ranked by recurrence. Every claim tagged as observed in your data or emergent from simulation, so you always know what you're trusting.

engagement readout / run 2 of 2

      

Real motif analysis from an engine run. One-off reactions are weather. Recurrence is signal.

02 / The engagement

Five steps.
Two weeks. One decision.

  1. 01

    Scope

    One decision, sharply defined. We take the engagement only if it passes three gates: a discrete intervention, an identifiable population, and real data to seed from.

  2. 02

    Seed

    We build the agent population from your data: support logs, research, community threads. Weighted like your actual customer base, with hard constraints, not adjectives.

  3. 03

    Run

    Your decision goes into the simulation as the single injected variable. We run it at least twice, independently, so recurrence means something.

  4. 04

    Read

    A three-pass readout: what your data already says, what emerged in simulation, and an audit trail on every claim. We defend it live.

  5. 05

    Interview

    The simulation stays open. Sit down with the agents and ask the follow-ups yourself: the question you'd never get to ask a real customer the day after a launch goes wrong.

03 / Pricing

Three tiers.
Fixed fee, agreed in writing.

Tier 01

Community Run

$3,500 USD / two weeks

Your customers, simulated. One decision run through a population seeded from your data.

  • Seeded agent population from your data
  • Two+ independent simulation runs
  • Recurrence readout, every claim tagged
  • Live agent interview session
Start here

Tier 03

Full Loop

Custom / scoped per project

Move, counter-move, market reaction, interleaved over multiple rounds. Custom market shapes, from B2B buying committees to multi-platform communities.

  • Everything in War Game
  • Multi-round move / counter-move loop
  • Custom platform & population shapes
  • Board-level strategic readout
Talk to us

Scenario plans ranked by recurrence, never "Competitor X will do Y." Built from public information and your own data. That honesty is the product.

04 / Who's behind it

Built by a practitioner,
not a theorist.

The simulation engine, the methodology, and the judgment come from real-world deployment, not theory. We sign our name to every readout.

  • [AWARD] Gold Stevie for AI leadership
  • [DEPLOYED] production AI agents at enterprise scale
  • [MEASURED] $1.5M in operational savings, 70% self-service deflection
  • [METHOD] every readout tagged, audited, and defended live

05 / Contact

What are you
about to decide?

Tell us the move you're weighing. We'll reply within one business day with whether it's simulatable, which tier fits, and a fixed fee.

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