Iridae is composed Bayesian decision infrastructure — continuously updated, running as a closed loop behind your roadmap, your forecasts, your experiments, and your plans. Not market intelligence. Not a research firm. Not a dashboard. Not a copilot. The decision layer your team and your agents both reason from.
Customer reality stays current.
Calls, tickets, support threads, telemetry, competitive movement — scattered across systems, synthesized in decks that age out by next sprint. Iridae composes them into one belief state about your product, customers, segments, and the themes that matter. A living model your team and your agents both reason from.
Forecasts become decision objects.
Narrative confidence dressed up with charts is not a forecast. Iridae returns posterior predictive distributions: probability of hitting target, downside if you miss, what would have to be true to raise confidence. Forecasts that work backwards from the goal — what evidence would change the call — instead of forward from optimism.
Experiments designed and stopped on evidence.
A/B tests waiting for calendar deadlines. Conjoint studies running six weeks. Pricing research arriving after the decision. Iridae runs Bayesian experimentation across A/B, conjoint, MaxDiff, preference, and pricing — traffic shifts to winning arms in real time, experiments stop when expected regret is low enough to act.
Plans adapt before the miss compounds.
Goals as pathways, not single bets. Iridae models tactics, resources, constraints, and trigger conditions under uncertainty — surfacing which paths still reach the objective when conditions change. Drift between strategy and execution shows up before the quarterly review, not after.