Arbiter pairs an adversarially-audited decision framework with a 100-agent market simulation. First it tells you what to do. Then it shows you what happens when you do it — how investors, customers, competitors, and the press actually respond.
The framework analysis is the easy part. The hard part is what happens after the email goes out — when investors recalibrate, customers churn, competitors price-match, and the team reads between the lines. Most founders find out in real time. Arbiter shows you first.
Strategy decks rationalise. Founder updates omit. Advisors hedge. No one in the room is paid to argue the other side — until the round closes and the question gets re-litigated.
The ruling looks clean on paper. Then the lead investor cools on the strategy, two enterprise customers go quiet, and a competitor positions against you on LinkedIn. None of that was in the model.
Six months later, when the call goes sideways, there's a Slack thread and a memory. No constraint scorecard, no sources, no simulation. Nothing to defend, nothing to learn from.
Every brief moves through the same pipeline — a constraint-driven framework that forces the analysis a tier-one strategy team would run. Each stage is a separate model with its own acceptance criteria.
Parses your decision into hard constraints (cannot be violated), soft constraints (should optimise), decision criteria, risk tolerance, and time horizon.
A separate agent audits the constraints for preference leaks, post-hoc rationalisation, vagueness, and hidden objectives — then rewrites them neutrally.
Runs cited web research on pricing, competitors, and market signals. Five to ten findings, each scored for evidence strength against source credibility.
Independent agents argue FOR each option in turn — each addresses the constraints directly, surfaces its strongest evidence, and concedes its weaknesses.
A final arbitrator synthesises constraints, research, and advocate arguments into one recommendation with certainty score, risk register, and 30-day plan.
MiroFish builds a knowledge graph from your decision context, generates a stakeholder population grounded in real market signals, and lets them talk. Twelve rounds. No forced convergence. You see how your decision actually lands before it lands.
Two audiences, one workflow. Arbiter is configured for the questions each role actually gets asked — not generic "AI for business."
Ingest each client's financials, retain context across briefs, and ship board-grade analysis in a fraction of the time. Co-branded output. Client-segregated workspaces.
Pricing changes. Hiring freezes. Bridge vs. layoff. Channel bets. Submit the question, attach the financials, get a ruling you can actually defend — to your board, your co-founder, and yourself in six months.
Every Arbiter brief is structured the same way: a one-line ruling, the constraints it was scored against, the evidence base, the model, the counter-case, and a thirty-day plan. Designed to be read by a board chair on a phone or a partner on a Sunday.
Steelmanned case for bridge: pricing power decays if competitors raise in Q3; restructure signals weakness to enterprise pipeline. Audited — partially mitigated by §06 sequencing.
Three briefs a month are free, forever. Beyond that, buy a single brief, a five-pack, or a monthly retainer. No token math, no per-seat tax, no surprise overage.
We're onboarding a small cohort of founders, operators, and fractional CFOs before general release. Leave your email and we'll review within two business days.