Failure isn’t one bad call. It’s a hundred almost-right ones, compounding.

A customer signal gets read too generously. A roadmap tradeoff keeps an old assumption alive. A launch metric proves activity, not demand. Soon you’re optimizing around assumptions the market never confirmed. The evidence to catch this already lives in your team — calls, decks, tickets, dashboards, debates — scattered, partial, aging. Iridae connects customer and market signals, forecasts, experiments, and plans into one decision loop, so product, strategy, research, and execution stay aligned on what’s worth building, what’s drifting from intent, and when to change course.

Decision infrastructure isn’t a dashboard, a search bar, or a project tracker. It’s the loop those tools were always missing.

Anchored Horizon

Not a single number — the full shape of what could happen. Comparable-based forecasting that shows the odds of hitting a target, the downside risk, and what you would need to see next, all updated as evidence arrives.

Explore Forecasts

Latent Spark

Turn fragmented product, market, customer, competitor, and internal signals into one living product-market view — so every forecast, workflow, and agent reasons from the same evidence.

Unify Your Signals

Patient Cartographer

Know where the real decisions are before options close. Adaptive strategy under uncertainty — mapping the paths to your goal, scoring them by resilience, and updating the recommended route as conditions change.

See Decisions Early

Subtle Beacon

Always-on Bayesian experimentation across A/B, conjoint, MaxDiff, and preference. Studies design, field, and stop themselves on posterior evidence — choice-modeling software reimagined for a continuous, agentic world.

Reach Confidence Faster

AI speed needs decision infrastructure.

AI ships faster than any team can decide what should ship next. Iridae brings composable sensing, forecasting, experimentation, and adaptive planning behind the systems and agents teams already use. Agents call Iridae for calibrated posteriors, not point estimates they have to defend — beliefs update, evidence accumulates, commitments stay coherent. Teams move at AI speed with decisions grounded in math, not vibes.

For Product Teams

Better decisions make better games.

We help game teams reduce uncertainty, close hard decisions faster, and make stronger commitments across audience, roadmap, launch, pricing, and live ops. Our turnkey decision engine is ready to use, with continuously updated industry priors that give teams sharper answers and deeper context early enough to act, before choices become expensive to reverse.

For Games

Turning uncertainty from bug into feature.

Every decision carries uncertainty. Iridae turns that uncertainty into clearer odds, sharper plans, better-timed experiments, and commitments that update as evidence changes.

Know your odds before you commit: See the probability of hitting a target from a posterior model — not a point estimate, static range, or prose answer dressed up as math.
Work backward from confidence: Ask what would need to be true six months from now for the team to be 75% confident — with evidence, milestones, and assumptions tied to the model.
Run the experiment that matters next: Prioritize the test that reduces decision-critical uncertainty — not the one that sounds useful or happens to be next on the roadmap.
Keep rare upside and downside visible: Model breakout outcomes, flop cases, and expected shortfall explicitly — instead of smoothing them into a tidy average.
Start smarter before your own data is deep: Warm-start decisions from calibrated priors and sufficient statistics — not generic benchmarks, scraped anecdotes, or another tenant’s raw data.
Trace every claim back to its evidence: Recommendations carry their sources, not their conclusions alone — so every belief, forecast, and update can be inspected, challenged, and revised.

The advantage is composition. Posterior forecasts inform probabilistic plans. Plans surface the uncertainties that matter most. Experiments reduce those uncertainties. Updated beliefs reshape the next forecast. Iridae is not a collection of Bayesian tools. It is a decision loop where evidence keeps its mathematical meaning from first signal to final commitment — and gets sharper with every decision the loop sees.